asoria/hf-datasets-descriptions · Datasets at Fast360

id stringlengths 6 121	author stringlengths 2 42	description stringlengths 0 6.67k
google/wiki40b	google	Dataset Card for "wiki40b" Dataset Summary Clean-up text for 40+ Wikipedia languages editions of pages correspond to entities. The datasets have train/dev/test splits per language. The dataset is cleaned up by page filtering to remove disambiguation pages, redirect pages, deleted pages, and non-entity pages. Each example contains the wikidata id of the entity, and the full Wikipedia article after page processing that removes non-content sections and structured… See the full description on the dataset page: https://huggingface.co/datasets/google/wiki40b.
legacy-datasets/wikipedia	legacy-datasets	Wikipedia dataset containing cleaned articles of all languages. The datasets are built from the Wikipedia dump (https://dumps.wikimedia.org/) with one split per language. Each example contains the content of one full Wikipedia article with cleaning to strip markdown and unwanted sections (references, etc.).
KTH/nst	KTH	This database was created by Nordic Language Technology for the development of automatic speech recognition and dictation in Swedish. In this updated version, the organization of the data have been altered to improve the usefulness of the database. In the original version of the material, the files were organized in a specific folder structure where the folder names were meaningful. However, the file names were not meaningful, and there were also cases of files with identical names in different folders. This proved to be impractical, since users had to keep the original folder structure in order to use the data. The files have been renamed, such that the file names are unique and meaningful regardless of the folder structure. The original metadata files were in spl format. These have been converted to JSON format. The converted metadata files are also anonymized and the text encoding has been converted from ANSI to UTF-8.
SetFit/go_emotions	SetFit	GoEmotions This dataset is a port of the official go_emotions dataset on the Hub. It only contains the simplified subset as these are the only fields we need for text classification.
csebuetnlp/xlsum	csebuetnlp	We present XLSum, a comprehensive and diverse dataset comprising 1.35 million professionally annotated article-summary pairs from BBC, extracted using a set of carefully designed heuristics. The dataset covers 45 languages ranging from low to high-resource, for many of which no public dataset is currently available. XL-Sum is highly abstractive, concise, and of high quality, as indicated by human and intrinsic evaluation.
PolyAI/minds14	PolyAI	MINDS-14 is training and evaluation resource for intent detection task with spoken data. It covers 14 intents extracted from a commercial system in the e-banking domain, associated with spoken examples in 14 diverse language varieties.
huggan/wikiart	huggan	Dataset Summary Dataset containing 81,444 pieces of visual art from various artists, taken from WikiArt.org, along with class labels for each image : "artist" : 129 artist classes, including a "Unknown Artist" class "genre" : 11 genre classes, including a "Unknown Genre" class "style" : 27 style classes On WikiArt.org, the description for the "Artworks by Genre" page reads : A genre system divides artworks according to depicted themes and objects. A classical hierarchy of… See the full description on the dataset page: https://huggingface.co/datasets/huggan/wikiart.
google/fleurs	google	FLEURS Fleurs is the speech version of the FLoRes machine translation benchmark. We use 2009 n-way parallel sentences from the FLoRes dev and devtest publicly available sets, in 102 languages. Training sets have around 10 hours of supervision. Speakers of the train sets are different than speakers from the dev/test sets. Multilingual fine-tuning is used and ”unit error rate” (characters, signs) of all languages is averaged. Languages and results are also grouped into seven… See the full description on the dataset page: https://huggingface.co/datasets/google/fleurs.
toxigen/toxigen-data	toxigen	Dataset Card for ToxiGen Sign up for Data Access To access ToxiGen, first fill out this form. Dataset Summary This dataset is for implicit hate speech detection. All instances were generated using GPT-3 and the methods described in our paper. Languages All text is written in English. Dataset Structure Data Fields We release TOXIGEN as a dataframe with the following fields: prompt is the prompt used for… See the full description on the dataset page: https://huggingface.co/datasets/toxigen/toxigen-data.
ILSVRC/imagenet-1k	ILSVRC	ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are more than 100,000 synsets in WordNet, majority of them are nouns (80,000+). ImageNet aims to provide on average 1000 images to illustrate each synset. Images of each concept are quality-controlled and human-annotated. In its completion, ImageNet hopes to offer tens of millions of cleanly sorted images for most of the concepts in the WordNet hierarchy. ImageNet 2012 is the most commonly used subset of ImageNet. This dataset spans 1000 object classes and contains 1,281,167 training images, 50,000 validation images and 100,000 test images
facebook/voxpopuli	facebook	A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation.
stanfordnlp/sst2	stanfordnlp	Dataset Card for [Dataset Name] Dataset Summary The Stanford Sentiment Treebank is a corpus with fully labeled parse trees that allows for a complete analysis of the compositional effects of sentiment in language. The corpus is based on the dataset introduced by Pang and Lee (2005) and consists of 11,855 single sentences extracted from movie reviews. It was parsed with the Stanford parser and includes a total of 215,154 unique phrases from those parse trees, each… See the full description on the dataset page: https://huggingface.co/datasets/stanfordnlp/sst2.
codeparrot/apps	codeparrot	APPS is a benchmark for Python code generation, it includes 10,000 problems, which range from having simple oneline solutions to being substantial algorithmic challenges, for more details please refer to this paper: https://arxiv.org/pdf/2105.09938.pdf.
knkarthick/dialogsum	knkarthick	Dataset Card for DIALOGSum Corpus Dataset Description Links Homepage: https://aclanthology.org/2021.findings-acl.449 Repository: https://github.com/cylnlp/dialogsum Paper: https://aclanthology.org/2021.findings-acl.449 Point of Contact: https://huggingface.co/knkarthick Dataset Summary DialogSum is a large-scale dialogue summarization dataset, consisting of 13,460 (Plus 100 holdout data for topic generation) dialogues with… See the full description on the dataset page: https://huggingface.co/datasets/knkarthick/dialogsum.
kiddothe2b/contract-nli	kiddothe2b	ContractNLI: A Benchmark Dataset for ContractNLI in English
okite97/news-data	okite97	Dataset Card for news-data Dataset Summary The News Dataset is an English-language dataset containing just over 4k unique news articles scrapped from AriseTv- One of the most popular news television in Nigeria. Supported Tasks and Leaderboards It supports news article classification into different categories. Languages English Dataset Structure Data Instances ''' {'Title': 'Nigeria: APC Yet to Zone Party… See the full description on the dataset page: https://huggingface.co/datasets/okite97/news-data.
ShapeNet/ShapeNetCore	ShapeNet	This repository contains ShapeNetCore (v2), a subset of ShapeNet.ShapeNetCore is a densely annotated subset of ShapeNet covering 55 common object categories with ~51,300 unique 3D models. Each model in ShapeNetCore are linked to an appropriate synset in WordNet 3.0. Please see DATA.md for details about the data. If you use ShapeNet data, you agree to abide by the ShapeNet terms of use. You are only allowed to redistribute the data to your research associates and colleagues provided that… See the full description on the dataset page: https://huggingface.co/datasets/ShapeNet/ShapeNetCore.
zeroshot/twitter-financial-news-sentiment	zeroshot	Dataset Description The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their sentiment. The dataset holds 11,932 documents annotated with 3 labels: sentiments = { "LABEL_0": "Bearish", "LABEL_1": "Bullish", "LABEL_2": "Neutral" } The data was collected using the Twitter API. The current dataset supports the multi-class… See the full description on the dataset page: https://huggingface.co/datasets/zeroshot/twitter-financial-news-sentiment.
priyank-m/chinese_text_recognition	priyank-m	Source of data: https://github.com/FudanVI/benchmarking-chinese-text-recognition
Gustavosta/Stable-Diffusion-Prompts	Gustavosta	Stable Diffusion Dataset This is a set of about 80,000 prompts filtered and extracted from the image finder for Stable Diffusion: "Lexica.art". It was a little difficult to extract the data, since the search engine still doesn't have a public API without being protected by cloudflare. If you want to test the model with a demo, you can go to: "spaces/Gustavosta/MagicPrompt-Stable-Diffusion". If you want to see the model, go to: "Gustavosta/MagicPrompt-Stable-Diffusion".
jamescalam/youtube-transcriptions	jamescalam	The YouTube transcriptions dataset contains technical tutorials (currently from James Briggs, Daniel Bourke, and AI Coffee Break) transcribed using OpenAI's Whisper (large). Each row represents roughly a sentence-length chunk of text alongside the video URL and timestamp. Note that each item in the dataset contains just a short chunk of text. For most use cases you will likely need to merge multiple rows to create more substantial chunks of text, if you need to do that, this code snippet will… See the full description on the dataset page: https://huggingface.co/datasets/jamescalam/youtube-transcriptions.
openai/summarize_from_feedback	openai	Summarize from Feedback contains the human feedback data released by the "Learning to summarize from human feedback" paper.
ds4sd/DocLayNet	ds4sd	DocLayNet is a human-annotated document layout segmentation dataset from a broad variety of document sources.
reazon-research/reazonspeech	reazon-research	Dataset Card for ReazonSpeech Dataset Summary This dataset contains a diverse set of natural Japanese speech, collected from terrestrial television streams. It contains more than 35000 hours of audio. Paper: ReazonSpeech: A Free and Massive Corpus for Japanese ASR Disclaimer TO USE THIS DATASET, YOU MUST AGREE THAT YOU WILL USE THE DATASET SOLELY FOR THE PURPOSE OF JAPANESE COPYRIGHT ACT ARTICLE 30-4. Dataset Format Audio files are… See the full description on the dataset page: https://huggingface.co/datasets/reazon-research/reazonspeech.
keremberke/table-extraction	keremberke	Dataset Labels ['bordered', 'borderless'] Number of Images {'test': 34, 'train': 238, 'valid': 70} How to Use Install datasets: pip install datasets Load the dataset: from datasets import load_dataset ds = load_dataset("keremberke/table-extraction", name="full") example = ds['train'][0] Roboflow Dataset Page https://universe.roboflow.com/mohamed-traore-2ekkp/table-extraction-pdf/dataset/2 Citation… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/table-extraction.
swaption2009/20k-en-zh-translation-pinyin-hsk	swaption2009	20,000+ chinese sentences with translations and pinyin Source: https://mnemosyne-proj.org/cards/20000-chinese-sentences-translations-and-pinyin Contributed by: Brian Vaughan http://brianvaughan.net/ Dataset Structure Each sample consists of: English sentence HSK level Chinese translation Pinyin separator ("--") Other Info from the Source HSK level All of the sentences came from sample sentences intended to describe a particular… See the full description on the dataset page: https://huggingface.co/datasets/swaption2009/20k-en-zh-translation-pinyin-hsk.
alespalla/chatbot_instruction_prompts	alespalla	Dataset Card for Chatbot Instruction Prompts Datasets Dataset Summary This dataset has been generated from the following ones: tatsu-lab/alpaca Dahoas/instruct-human-assistant-prompt allenai/prosocial-dialog The datasets has been cleaned up of spurious entries and artifacts. It contains ~500k of prompt and expected resposne. This DB is intended to train an instruct-type model
HuggingFaceH4/CodeAlpaca_20K	HuggingFaceH4	This dataset splits the original CodeAlpaca dataset into train and test splits.
mozilla-foundation/common_voice_13_0	mozilla-foundation	Dataset Card for Common Voice Corpus 13.0 Dataset Summary The Common Voice dataset consists of a unique MP3 and corresponding text file. Many of the 27141 recorded hours in the dataset also include demographic metadata like age, sex, and accent that can help improve the accuracy of speech recognition engines. The dataset currently consists of 17689 validated hours in 108 languages, but more voices and languages are always added. Take a look at the Languages… See the full description on the dataset page: https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0.
bigcode/starcoderdata	bigcode	StarCoder Training Dataset Dataset description This is the dataset used for training StarCoder and StarCoderBase. It contains 783GB of code in 86 programming languages, and includes 54GB GitHub Issues + 13GB Jupyter notebooks in scripts and text-code pairs, and 32GB of GitHub commits, which is approximately 250 Billion tokens. Dataset creation The creation and filtering of The Stack is explained in the original dataset, we additionally decontaminate… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/starcoderdata.
RyokoAI/ShareGPT52K	RyokoAI	Dataset Card for ShareGPT52K90K Dataset Summary This dataset is a collection of approximately 52,00090,000 conversations scraped via the ShareGPT API before it was shut down. These conversations include both user prompts and responses from OpenAI's ChatGPT. This repository now contains the new 90K conversations version. The previous 52K may be found in the old/ directory. Supported Tasks and Leaderboards text-generation Languages… See the full description on the dataset page: https://huggingface.co/datasets/RyokoAI/ShareGPT52K.
anon8231489123/ShareGPT_Vicuna_unfiltered	anon8231489123	Further cleaning done. Please look through the dataset and ensure that I didn't miss anything. Update: Confirmed working method for training the model: https://huggingface.co/AlekseyKorshuk/vicuna-7b/discussions/4#64346c08ef6d5abefe42c12c Two choices: Removes instances of "I'm sorry, but": https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/blob/main/ShareGPT_V3_unfiltered_cleaned_split_no_imsorry.json Has instances of "I'm sorry, but":… See the full description on the dataset page: https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered.
dominguesm/Canarim-Instruct-PTBR-Dataset	dominguesm	🐥 🇧🇷 Canarim Instruct Dataset [🐱 Github] What's Canarim? Canarim is a dataset with over 300,000 instructions in Portuguese, ranging from simple instructions like "Descreva os efeitos do aquecimento global" to more complex instructions like "Nesta tarefa, você precisa ser capaz de resumir uma determinada lista de pontos-chave" where additional context is provided. Why it's called Canarim? "Canarim" is spoken in some regions of Brazil… See the full description on the dataset page: https://huggingface.co/datasets/dominguesm/Canarim-Instruct-PTBR-Dataset.
kunishou/databricks-dolly-15k-ja	kunishou	This dataset was created by automatically translating "databricks-dolly-15k" into Japanese.This dataset is licensed under CC-BY-SA-3.0 Last Update : 2023-05-11 databricks-dolly-15k-jahttps://github.com/kunishou/databricks-dolly-15k-jadatabricks-dolly-15khttps://github.com/databrickslabs/dolly/tree/master/data
OpenAssistant/oasst1	OpenAssistant	OpenAssistant Conversations Dataset (OASST1) Dataset Summary In an effort to democratize research on large-scale alignment, we release OpenAssistant Conversations (OASST1), a human-generated, human-annotated assistant-style conversation corpus consisting of 161,443 messages in 35 different languages, annotated with 461,292 quality ratings, resulting in over 10,000 fully annotated conversation trees. The corpus is a product of a worldwide crowd-sourcing effort… See the full description on the dataset page: https://huggingface.co/datasets/OpenAssistant/oasst1.
shareAI/ShareGPT-Chinese-English-90k	shareAI	ShareGPT-Chinese-English-90k Bilingual Human-Machine QA Dataset A high-quality Chinese-English parallel bilingual human-machine QA dataset, covering user questions in real and complex scenarios. It is used for training high-quality dialogue models (more robust in instruction distribution than those datasets generated by repeatedly calling API interfaces to simulate machine-generated Q&A, like Moss) Features: Provides fully semantically equivalent Chinese-English parallel… See the full description on the dataset page: https://huggingface.co/datasets/shareAI/ShareGPT-Chinese-English-90k.
liuhaotian/LLaVA-CC3M-Pretrain-595K	liuhaotian	LLaVA Visual Instruct CC3M 595K Pretrain Dataset Card Dataset details Dataset type: LLaVA Visual Instruct CC3M Pretrain 595K is a subset of CC-3M dataset, filtered with a more balanced concept coverage distribution. Captions are also associated with BLIP synthetic caption for reference. It is constructed for the pretraining stage for feature alignment in visual instruction tuning. We aim to build large multimodal towards GPT-4 vision/language capability. Dataset… See the full description on the dataset page: https://huggingface.co/datasets/liuhaotian/LLaVA-CC3M-Pretrain-595K.
howard-hou/OCR-VQA	howard-hou	Dataset Card for "OCR-VQA" More Information needed
WizardLMTeam/WizardLM_evol_instruct_70k	WizardLMTeam	This is the training data of WizardLM. News 🔥 🔥 🔥 [08/11/2023] We release WizardMath Models. 🔥 Our WizardMath-70B-V1.0 model slightly outperforms some closed-source LLMs on the GSM8K, including ChatGPT 3.5, Claude Instant 1 and PaLM 2 540B. 🔥 Our WizardMath-70B-V1.0 model achieves 81.6 pass@1 on the GSM8k Benchmarks, which is 24.8 points higher than the SOTA open-source LLM. 🔥 Our WizardMath-70B-V1.0 model achieves 22.7 pass@1 on the MATH Benchmarks, which is 9.2 points… See the full description on the dataset page: https://huggingface.co/datasets/WizardLMTeam/WizardLM_evol_instruct_70k.
bigcode/governance-card	bigcode	This document serves as an overview of the different mechanisms and areas of governance in the BigCode project. It aims to support transparency by providing relevant information about choices that were made during the project to the broader public, and to serve as an example of intentional governance of an open research project that future endeavors can leverage to shape their own approach.The first section, Project Structure, covers the project organization, its stated goals and values, its… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/governance-card.
FreedomIntelligence/huatuo_knowledge_graph_qa	FreedomIntelligence	Dataset Card for Huatuo_knowledge_graph_qa Dataset Summary We built this QA dataset based on the medical knowledge map, with a total of 798,444 pieces of data, in which the questions are constructed by means of templates, and the answers are the contents of the entries in the knowledge map. Dataset Creation Source Data… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/huatuo_knowledge_graph_qa.
cognitivecomputations/wizard_vicuna_70k_unfiltered	cognitivecomputations	This dataset is the wizard_vicuna dataset junelee/wizard_vicuna_70k, removing conversations with alignment. 34598 conversations remain. inspired by https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered All credit to anon8231489123 I basically took his scripts and applied them to this new dataset.
tiiuae/falcon-refinedweb	tiiuae	📀 Falcon RefinedWeb Falcon RefinedWeb is a massive English web dataset built by TII and released under an ODC-By 1.0 license. See the 📓 paper on arXiv for more details. RefinedWeb is built through stringent filtering and large-scale deduplication of CommonCrawl; we found models trained on RefinedWeb to achieve performance in-line or better than models trained on curated datasets, while only relying on web data. RefinedWeb is also "multimodal-friendly": it contains links and… See the full description on the dataset page: https://huggingface.co/datasets/tiiuae/falcon-refinedweb.
FreedomIntelligence/huatuo_encyclopedia_qa	FreedomIntelligence	Dataset Card for Huatuo_encyclopedia_qa Dataset Summary This dataset has a total of 364,420 pieces of medical QA data, some of which have multiple questions in different ways. We extract medical QA pairs from plain texts (e.g., medical encyclopedias and medical articles). We collected 8,699 encyclopedia entries for diseases and 2,736 encyclopedia entries for medicines on Chinese Wikipedia. Moreover, we crawled 226,432 high-quality medical articles from the Qianwen… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/huatuo_encyclopedia_qa.
Haidra-Org/AI-Horde-Ratings	Haidra-Org	AI Horde Aesthetic and Artifact Ratings A dataset of exported aesthetic and artifact ratings provided by the AI Horde community through our open ratings API. Each row in this dataset presents the rating for a single image from the diffusiondb. Each image UUID in this parquet will match the diffusiondb filename. Each rating contains an aesthetic rating of 1-10, where 1 represents an image found distasteful, and 10 an image most found very pleasing. This is an explicitly… See the full description on the dataset page: https://huggingface.co/datasets/Haidra-Org/AI-Horde-Ratings.
lucasmccabe-lmi/CodeAlpaca-20k	lucasmccabe-lmi	Dataset Card for "CodeAlpaca-20k" We provide a minor modification of the CodeAlpaca-20k dataset. In particular, we add the phrase, "Write corresponding code in Python." if the intended language is not explicitly stated. Numbers: Prompts: 20022 Tokens: 1561716 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)
Slep/LAION-RVS-Fashion	Slep	LAION - Referred Visual Search - Fashion Introduced in LRVSF-Fashion: Extending Visual Search with Referring Instructions Simon Lepage — Jérémie Mary — David Picard CRITEO AI Lab & ENPC Useful Links Test set — Benchmark Code — LRVS-F Leaderboard — Demo Composition LAION-RVS-Fashion is composed of images from : LAION 2B EN LAION 2B MULTI TRANSLATED LAION 1B NOLANG TRANSLATED These images have been grouped based on extracted product IDs. Each… See the full description on the dataset page: https://huggingface.co/datasets/Slep/LAION-RVS-Fashion.
flaviagiammarino/vqa-rad	flaviagiammarino	Dataset Card for VQA-RAD Dataset Description VQA-RAD is a dataset of question-answer pairs on radiology images. The dataset is intended to be used for training and testing Medical Visual Question Answering (VQA) systems. The dataset includes both open-ended questions and binary "yes/no" questions. The dataset is built from MedPix, which is a free open-access online database of medical images. The question-answer pairs were manually generated by a team of… See the full description on the dataset page: https://huggingface.co/datasets/flaviagiammarino/vqa-rad.
GAIR/lima	GAIR	A high-quality dataset for efficient instruction tuning.
PKU-Alignment/BeaverTails	PKU-Alignment	Dataset Card for BeaverTails BeaverTails is an AI safety-focused collection comprising a series of datasets. This repository includes human-labeled data consisting of question-answer (QA) pairs, each identified with their corresponding harm categories. It should be noted that a single QA pair can be associated with more than one category. The 14 harm categories are defined as follows: Animal Abuse: This involves any form of cruelty or harm inflicted on animals, including… See the full description on the dataset page: https://huggingface.co/datasets/PKU-Alignment/BeaverTails.
cerebras/SlimPajama-627B	cerebras	The dataset consists of 59166 jsonl files and is ~895GB compressed. It is a cleaned and deduplicated version of Together's RedPajama. Check out our blog post explaining our methods, our code on GitHub, and join the discussion on the Cerebras Discord. Getting Started You can download the dataset using Hugging Face datasets: from datasets import load_dataset ds = load_dataset("cerebras/SlimPajama-627B") Background Today we are releasing SlimPajama – the largest… See the full description on the dataset page: https://huggingface.co/datasets/cerebras/SlimPajama-627B.
maharshipandya/spotify-tracks-dataset	maharshipandya	Content This is a dataset of Spotify tracks over a range of 125 different genres. Each track has some audio features associated with it. The data is in CSV format which is tabular and can be loaded quickly. Usage The dataset can be used for: Building a Recommendation System based on some user input or preference Classification purposes based on audio features and available genres Any other application that you can think of. Feel free to discuss!… See the full description on the dataset page: https://huggingface.co/datasets/maharshipandya/spotify-tracks-dataset.
zzliang/GRIT	zzliang	GRIT: Large-Scale Training Corpus of Grounded Image-Text Pairs Dataset Summary We introduce GRIT, a large-scale dataset of Grounded Image-Text pairs, which is created based on image-text pairs from COYO-700M and LAION-2B. We construct a pipeline to extract and link text spans (i.e., noun phrases, and referring expressions) in the caption to their corresponding image regions. More details can be found in the paper. Supported Tasks During the… See the full description on the dataset page: https://huggingface.co/datasets/zzliang/GRIT.
matorus/coder	matorus	Training dataset for finetuning for human-eval. This dataset has been created from the following datasets: sahil2801/CodeAlpaca-20k sahil2801/code_instructions_120k mhhmm/leetcode-solutions-python teknium1/GPTeacher Script for generating dataset: create_dataset.py.
theblackcat102/evol-codealpaca-v1	theblackcat102	Evolved codealpaca Updates: 2023/08/26 - Filtered results now only contain pure english instruction and removed any mentioned of trained by OAI response Median sequence length : 471 We employed a methodology similar to that of WizardCoder, with the exception that ours is open-source. We used the gpt-4-0314 and gpt-4-0613 models to augment and answer each response, with the bulk of generation handled by gpt-4-0314. The aim of this dataset is twofold: firstly, to facilitate the… See the full description on the dataset page: https://huggingface.co/datasets/theblackcat102/evol-codealpaca-v1.
mlabonne/guanaco-llama2-1k	mlabonne	Guanaco-1k: Lazy Llama 2 Formatting This is a subset (1000 samples) of the excellent timdettmers/openassistant-guanaco dataset, processed to match Llama 2's prompt format as described in this article. It was created using the following colab notebook. Useful if you don't want to reformat it by yourself (e.g., using a script). It was designed for this article about fine-tuning a Llama 2 (chat) model in a Google Colab.
heliosbrahma/mental_health_chatbot_dataset	heliosbrahma	Dataset Card for "heliosbrahma/mental_health_chatbot_dataset" Dataset Description Dataset Summary This dataset contains conversational pair of questions and answers in a single text related to Mental Health. Dataset was curated from popular healthcare blogs like WebMD, Mayo Clinic and HeatlhLine, online FAQs etc. All questions and answers have been anonymized to remove any PII data and pre-processed to remove any unwanted characters.… See the full description on the dataset page: https://huggingface.co/datasets/heliosbrahma/mental_health_chatbot_dataset.
LibrAI/do-not-answer	LibrAI	Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs Overview Do not answer is an open-source dataset to evaluate LLMs' safety mechanism at a low cost. The dataset is curated and filtered to consist only of prompts to which responsible language models do not answer. Besides human annotations, Do not answer also implements model-based evaluation, where a 600M fine-tuned BERT-like evaluator achieves comparable results with human and GPT-4.… See the full description on the dataset page: https://huggingface.co/datasets/LibrAI/do-not-answer.
qgyd2021/chinese_ner_sft	qgyd2021	中文实体识别指令数据集收集开源的实体识别数据集, 将其制作为 sft 数据集用于 LLM 微调. 该数据集的目的是构建通用实体识别的LLM研究. 数据集分为三大类: {dataset_name}, {dataset_name}_template, {dataset_name}_prompt. {dataset_name}: 为对应的实体识别数据集. {dataset_name}_template: 是为各数据集编写的 prompt 模板, 因为各数据集的主题不同, 所以模板分别编写会更加准确. {dataset_name}_prompt: 是根据 {dataset_name} 和 {dataset_name}_template 合成的 prompt 数据集. 由于是动态生成的 huggingface 可能无法展示, 以下是一些数据示例. 数据示例展开查看 { "prompt": "在做手机智能助手上, 你需要识别用户话语中的关键实体, 实体类型包括:\n联系人姓名,场景,主旋律,乐器名称,曲风,手机号码,语言,时代,目的地… See the full description on the dataset page: https://huggingface.co/datasets/qgyd2021/chinese_ner_sft.
teknium/openhermes	teknium	OpenHermes Dataset The OpenHermes dataset is composed of 242,000 entries of primarily GPT-4 generated data, from open datasets across the AI landscape, including: OpenHermes 13B is the first fine tune of the Hermes dataset that has a fully open source dataset! OpenHermes was trained on 242,000 entries of primarily GPT-4 generated data, from open datasets across the AI landscape, including: GPTeacher - General Instruct, Roleplay v1, Roleplay v2, and Code Instruct Datasets, by… See the full description on the dataset page: https://huggingface.co/datasets/teknium/openhermes.
bugdaryan/sql-create-context-instruction	bugdaryan	Overview This dataset is built upon SQL Create Context, which in turn was constructed using data from WikiSQL and Spider. There are 78,577 examples of natural language queries, SQL CREATE TABLE statements, and SQL Query answering the question using the CREATE statement as context. This dataset was built with text-to-SQL LLMs in mind, intending to prevent hallucination of column and table names often seen when trained on text-to-SQL datasets. The CREATE TABLE statement can often… See the full description on the dataset page: https://huggingface.co/datasets/bugdaryan/sql-create-context-instruction.
re-align/just-eval-instruct	re-align	Just Eval Instruct Highlights Data sources: AlpacaEval (covering 5 datasets), LIMA-test, MT-bench, Anthropic red-teaming, and MaliciousInstruct. 1K examples: 1,000 instructions, including 800 for problem-solving test, and 200 specifically for safety test. Category: We tag each example with (one or multiple) labels on its task types and topics.… See the full description on the dataset page: https://huggingface.co/datasets/re-align/just-eval-instruct.
a686d380/sis-novel	a686d380	这是一个中文H小说数据集，收集自sis001 sis-novel1为中短篇小说，112182项，解压缩后大小5.7GB，数据截止2022年7月 sis-novel2为长篇小说，4555项，解压缩后大小3.6GB，数据截止2023年3月数据均为未清洗的txt版本，并且可能包含有评论
glaiveai/glaive-code-assistant	glaiveai	Glaive-code-assistant Glaive-code-assistant is a dataset of ~140k code problems and solutions generated using Glaive’s synthetic data generation platform. The data is intended to be used to make models act as code assistants, and so the data is structured in a QA format where the questions are worded similar to how real users will ask code related questions. The data has ~60% python samples. To report any problems or suggestions in the data, join the Glaive discord
ShengbinYue/DISC-Law-SFT	ShengbinYue	DISC-Law-SFT Dataset Legal Intelligent systems in Chinese require a combination of various abilities, including legal text understanding and generation. To achieve this, we have constructed a high-quality supervised fine-tuning dataset called DISC-Law-SFT, which covers different legal scenarios such as legal information extraction, legal judgment prediction, legal document summarization, and legal question answering. DISC-Law-SFT comprises two subsets, DISC-Law-SFT-Pair and… See the full description on the dataset page: https://huggingface.co/datasets/ShengbinYue/DISC-Law-SFT.
MBZUAI/VideoInstruct-100K	MBZUAI	VideoInstruct100K is a high-quality video conversation dataset generated using human-assisted and semi-automatic annotation techniques. The question answers in the dataset are related to, Video Summariazation Description-based question-answers (exploring spatial, temporal, relationships, and reasoning concepts) Creative/generative question-answers For mored details, please visit Oryx/VideoChatGPT/video-instruction-data-generation. If you find this dataset useful, please consider citing the… See the full description on the dataset page: https://huggingface.co/datasets/MBZUAI/VideoInstruct-100K.
FinGPT/fingpt-fiqa_qa	FinGPT	Dataset Card for "fingpt-fiqa_qa" More Information needed
heegyu/chart2text_statista	heegyu	Dataset Card for "chart2text_statista" original dataset: https://github.com/vis-nlp/Chart-to-text
AI4Math/MathVista	AI4Math	Dataset Card for MathVista Dataset Description Paper Information Dataset Examples Leaderboard Dataset Usage Data Downloading Data Format Data Visualization Data Source Automatic Evaluation License Citation Dataset Description MathVista is a consolidated Mathematical reasoning benchmark within Visual contexts. It consists of three newly created datasets, IQTest, FunctionQA, and PaperQA, which address the missing visual domains and are tailored to evaluate… See the full description on the dataset page: https://huggingface.co/datasets/AI4Math/MathVista.
Weyaxi/huggingface-leaderboard	Weyaxi	Huggingface Leaderboard's History Dataset 🏆 This is the history dataset of Huggingface Leaderboard. 🗒️ This dataset contains full dataframes in a CSV file for each time lapse. ⌛ This dataset is automatically updated when space restarts. (Which is approximately every 6 hours) Leaderboard Link 🔗 Weyaxi/huggingface-leaderboard
satellite-image-deep-learning/SODA-A	satellite-image-deep-learning	SODA-A comprises 2513 high-resolution images of aerial scenes, which has 872069 instances annotated with oriented rectangle box annotations over 9 classes. Website
HuggingFaceH4/ultrafeedback_binarized	HuggingFaceH4	Dataset Card for UltraFeedback Binarized Dataset Description This is a pre-processed version of the UltraFeedback dataset and was used to train Zephyr-7Β-β, a state of the art chat model at the 7B parameter scale. The original UltraFeedback dataset consists of 64k prompts, where each prompt is accompanied with four model completions from a wide variety of open and proprietary models. GPT-4 is then used to assign a score to each completion, along criteria like… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceH4/ultrafeedback_binarized.
lmsys/toxic-chat	lmsys	Update [01/31/2024] We update the OpenAI Moderation API results for ToxicChat (0124) based on their updated moderation model on on Jan 25, 2024.[01/28/2024] We release an official T5-Large model trained on ToxicChat (toxicchat0124). Go and check it for you baseline comparision![01/19/2024] We have a new version of ToxicChat (toxicchat0124)! Content This dataset contains toxicity annotations on 10K user prompts collected from the Vicuna online demo. We utilize a… See the full description on the dataset page: https://huggingface.co/datasets/lmsys/toxic-chat.
allenai/WildChat	allenai	Dataset Card for WildChat Note: a newer version with 1 million conversations and demographic information can be found here. Dataset Description Paper: https://arxiv.org/abs/2405.01470 Interactive Search Tool: https://wildvisualizer.com (paper) License: ODC-BY Language(s) (NLP): multi-lingual Point of Contact: Yuntian Deng Dataset Summary WildChat is a collection of 650K conversations between human users and ChatGPT. We… See the full description on the dataset page: https://huggingface.co/datasets/allenai/WildChat.
hltcoe/megawika-report-generation	hltcoe	Dataset Card for MegaWika for Report Generation Dataset Summary MegaWika is a multi- and crosslingual text dataset containing 30 million Wikipedia passages with their scraped and cleaned web citations. The passages span 50 Wikipedias in 50 languages, and the articles in which the passages were originally embedded are included for convenience. Where a Wikipedia passage is in a non-English language, an automated English translation is provided. This dataset… See the full description on the dataset page: https://huggingface.co/datasets/hltcoe/megawika-report-generation.
kunishou/oasst1-chat-44k-ja	kunishou	oasst1-89k-jaをチャット形式に変換したデータセットになります。マルチターン会話でのファインチューニングをする際にご活用下さい（1レコードのトークン長が大きいのでそれなりの計算リソースが必要になります）。フォーマットは ShareGPT 形式になっています。ファインチューニングをする際はこちらの記事を参考にして下さい。 oasst1-ja-89k Repositoryhttps://github.com/kunishou/oasst1-89k-ja OpenAssistant/oasst1https://huggingface.co/datasets/OpenAssistant/oasst1
facebook/emu_edit_test_set_generations	facebook	Dataset Card for the Emu Edit Generations on Emu Edit Test Set Dataset Summary This dataset contains Emu Edit's generations on the Emu Edit test set. For more information please read our paper or visit our homepage. Licensing Information Licensed with CC-BY-NC 4.0 License available here. Citation Information @inproceedings{Sheynin2023EmuEP, title={Emu Edit: Precise Image Editing via Recognition and Generation Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/facebook/emu_edit_test_set_generations.
EDS-lab/electricity-demand	EDS-lab	Electricity Demand Dataset This dataset compiles and harmonizes multiple open smart meter datasets. Curated by: Attila Balint License: BSD 3-clause "New" or "Revised" licence Uses This smart meter dataset facilitates primarily electricity demand forecasting. Dataset Structure The dataset contains three main files. data/demand.parquet data/metadata.parquet data/weather.parquet data/demand.parquet This file contains the electricity… See the full description on the dataset page: https://huggingface.co/datasets/EDS-lab/electricity-demand.
HAERAE-HUB/KMMLU	HAERAE-HUB	KMMLU (Korean-MMLU) We propose KMMLU, a new Korean benchmark with 35,030 expert-level multiple-choice questions across 45 subjects ranging from humanities to STEM. Unlike previous Korean benchmarks that are translated from existing English benchmarks, KMMLU is collected from original Korean exams, capturing linguistic and cultural aspects of the Korean language. We test 26 publically available and proprietary LLMs, identifying significant room for improvement. The best… See the full description on the dataset page: https://huggingface.co/datasets/HAERAE-HUB/KMMLU.
ise-uiuc/Magicoder-Evol-Instruct-110K	ise-uiuc	A decontaminated version of evol-codealpaca-v1. Decontamination is done in the same way as StarCoder (bigcode decontamination process).
XzJosh/audiodataset	XzJosh	音频数据集制作：Xz乔希注意 1、数据集均取自对应人物视频切片，声音版权归属于对应人物，早期质量一坨的就没上传； 2、音频仅进行分离人声及自动切片，未进行精选，请下载进行抽选试听后再考虑是否使用（弃用音频在手工标注时进行了跳过）； 3、手工标注文件随机掉落（手工标注无法保证每一句都标的很标准，可以自行检查）； 4、请在法律允许范围内进行测试使用！使用本数据集产生问题请自行承担！
argilla/ultrafeedback-binarized-preferences-cleaned	argilla	UltraFeedback - Binarized using the Average of Preference Ratings (Cleaned) This dataset represents a new iteration on top of argilla/ultrafeedback-binarized-preferences, and is the recommended and preferred dataset by Argilla to use from now on when fine-tuning on UltraFeedback. Read more about Argilla's approach towards UltraFeedback binarization at argilla/ultrafeedback-binarized-preferences/README.md. Differences with argilla/ultrafeedback-binarized-preferences… See the full description on the dataset page: https://huggingface.co/datasets/argilla/ultrafeedback-binarized-preferences-cleaned.
Anthropic/discrim-eval	Anthropic	Dataset Card for Discrim-Eval Dataset Summary The data contains a diverse set of prompts covering 70 hypothetical decision scenarios, ranging from approving a loan to providing press credentials. Each prompt instructs the model to make a binary decision (yes/no) about a particular person described in the prompt. Each person is described in terms of three demographic attributes: age (ranging from 20 to 100 in increments of 10), gender (male, female, non-binary)… See the full description on the dataset page: https://huggingface.co/datasets/Anthropic/discrim-eval.
allenai/reward-bench	allenai	Code \| Leaderboard \| Prior Preference Sets \| Results \| Paper Reward Bench Evaluation Dataset Card The RewardBench evaluation dataset evaluates capabilities of reward models over the following categories: Chat: Includes the easy chat subsets (alpacaeval-easy, alpacaeval-length, alpacaeval-hard, mt-bench-easy, mt-bench-medium) Chat Hard: Includes the hard chat subsets (mt-bench-hard, llmbar-natural, llmbar-adver-neighbor, llmbar-adver-GPTInst, llmbar-adver-GPTOut… See the full description on the dataset page: https://huggingface.co/datasets/allenai/reward-bench.
google/Synthetic-Persona-Chat	google	Dataset Card for SPC: Synthetic-Persona-Chat Dataset Abstract from the paper introducing this dataset: High-quality conversational datasets are essential for developing AI models that can communicate with users. One way to foster deeper interactions between a chatbot and its user is through personas, aspects of the user's character that provide insights into their personality, motivations, and behaviors. Training Natural Language Processing (NLP) models on a diverse and… See the full description on the dataset page: https://huggingface.co/datasets/google/Synthetic-Persona-Chat.
osv5m/osv5m	osv5m	OpenStreetView-5M The Many Roads to Global Visual Geolocation 📍🌍 First authors: Guillaume Astruc, Nicolas Dufour, Ioannis SiglidisSecond authors: Constantin Aronssohn, Nacim Bouia, Stephanie Fu, Romain Loiseau, Van Nguyen Nguyen, Charles Raude, Elliot Vincent, Lintao XU, Hongyu ZhouLast author: Loic LandrieuResearch Institute: Imagine, LIGM, Ecole des Ponts, Univ Gustave Eiffel, CNRS, Marne-la-Vallée, France Introduction 🌍 OpenStreetView-5M is the first… See the full description on the dataset page: https://huggingface.co/datasets/osv5m/osv5m.
HuggingFaceM4/WebSight	HuggingFaceM4	Dataset Card for WebSight Dataset Description WebSight is a large synthetic dataset containing HTML/CSS codes representing synthetically generated English websites, each accompanied by a corresponding screenshot. This dataset serves as a valuable resource for tasks such as generating UI codes from a screenshot. It comes in two versions: v0.1: Websites are coded with HTML + CSS. They do not include real images. v0.2: Websites are coded with HTML + Tailwind CSS.… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceM4/WebSight.
Tele-AI/TeleChat-PTD	Tele-AI	TeleChat预训练数据集(TeleChat-PTD) 🤗 Hugging Face • 🏔 MindSpore️ • 🦉 github️ • 🐾 gitee️ • 💬 WeChat Tech Report 数据介绍 TeleChat-PTD 是由电信星辰大模型TeleChat预训练语料中抽取出的的综合性大规模中文数据集。数据主要来源于网页、书籍、官方媒体等。我们使用规则+模型的方式进行了相关的过滤，并对数据进行了相似性去重，尽可能地提取出高质量地数据。 TeleChat-PTD 数据集大约公开了2.7亿条数据，数据由纯中文文本构成，原始大小约1TB,压缩后480G，共189个文件。数据集中已经去除了其它冗余信息。数据下载 huggingface下载地址：数据下载天翼云盘下载地址：数据下载（访问码：pkg8）数据格式数据为jsonl格式，仅有一个字段data: 单条处理后的预训练数据数据清洗… See the full description on the dataset page: https://huggingface.co/datasets/Tele-AI/TeleChat-PTD.
osunlp/TravelPlanner	osunlp	TravelPlanner Dataset TravelPlanner is a benchmark crafted for evaluating language agents in tool-use and complex planning within multiple constraints. (See our paper for more details.) Introduction In TravelPlanner, for a given query, language agents are expected to formulate a comprehensive plan that includes transportation, daily meals, attractions, and accommodation for each day. TravelPlanner comprises 1,225 queries in total. The number of days and hard… See the full description on the dataset page: https://huggingface.co/datasets/osunlp/TravelPlanner.
Teklia/NorHand-v3-line	Teklia	NorHand v3 - line level Dataset Summary The NorHand v3 dataset comprises Norwegian letter and diary line images and text from 19th and early 20th century. Note that all images are resized to a fixed height of 128 pixels. Languages All the documents in the dataset are written in Norwegian Bokmål. Dataset Structure Data Instances { 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=4300x128 at 0x1A800E8E190… See the full description on the dataset page: https://huggingface.co/datasets/Teklia/NorHand-v3-line.
lmms-lab/DocVQA	lmms-lab	Large-scale Multi-modality Models Evaluation Suite Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval 🏠 Homepage \| 📚 Documentation \| 🤗 Huggingface Datasets This Dataset This is a formatted version of DocVQA. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models. @article{mathew2020docvqa, title={DocVQA: A Dataset for VQA on Document Images. CoRR abs/2007.00398 (2020)}… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab/DocVQA.
McAuley-Lab/Amazon-Reviews-2023	McAuley-Lab	Amazon Review 2023 is an updated version of the Amazon Review 2018 dataset. This dataset mainly includes reviews (ratings, text) and item metadata (desc- riptions, category information, price, brand, and images). Compared to the pre- vious versions, the 2023 version features larger size, newer reviews (up to Sep 2023), richer and cleaner meta data, and finer-grained timestamps (from day to milli-second).
Shitao/MLDR	Shitao	Dataset Summary MLDR is a Multilingual Long-Document Retrieval dataset built on Wikipeida, Wudao and mC4, covering 13 typologically diverse languages. Specifically, we sample lengthy articles from Wikipedia, Wudao and mC4 datasets and randomly choose paragraphs from them. Then we use GPT-3.5 to generate questions based on these paragraphs. The generated question and the sampled article constitute a new text pair to the dataset. The prompt for GPT3.5 is “You are a curious AI… See the full description on the dataset page: https://huggingface.co/datasets/Shitao/MLDR.
Locutusque/function-calling-chatml	Locutusque	Dataset Card for "function-calling-chatml" Converted glaiveai/Glaive-function-calling-v2 to chatml format. Example entry [ { "from": "system", "value": "You are a helpful assistant with access to the following functions. Use them if required -{\n \"name\": \"create_contact\",\n \"description\": \"Create a new contact\",\n \"parameters\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": {\n \"type\": \"string\",\n \"description\": \"The name of the… See the full description on the dataset page: https://huggingface.co/datasets/Locutusque/function-calling-chatml.
PJMixers/Math-Multiturn-1K-ShareGPT	PJMixers	All samples were created with this script, no GPT, just python.
nvidia/OpenMathInstruct-1	nvidia	OpenMathInstruct-1 OpenMathInstruct-1 is a math instruction tuning dataset with 1.8M problem-solution pairs generated using permissively licensed Mixtral-8x7B model. The problems are from GSM8K and MATH training subsets and the solutions are synthetically generated by allowing Mixtral model to use a mix of text reasoning and code blocks executed by Python interpreter. The dataset is split into train and validation subsets that we used in the ablations experiments. These two… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/OpenMathInstruct-1.
HuggingFaceTB/cosmopedia	HuggingFaceTB	Cosmopedia v0.1 Image generated by DALL-E, the prompt was generated by Mixtral-8x7B-Instruct-v0.1 Note: Cosmopedia v0.2 is available at smollm-corpus User: What do you think "Cosmopedia" could mean? Hint: in our case it's not related to cosmology. Mixtral-8x7B-Instruct-v0.1: A possible meaning for "Cosmopedia" could be an encyclopedia or collection of information about different cultures, societies, and topics from around the world, emphasizing diversity and global… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceTB/cosmopedia.
Henrychur/MMedC	Henrychur	MMedC 💻Github Repo 🖨️arXiv Paper The official pre-training dataset for "Towards Building Multilingual Language Model for Medicine". News We add Arabic and German corpus to MMedC. Introduction This repo contains MMedC, a multilingual medical corpus with 25.5 billion tokens. Language Family Filtering Content Textbooks Websites Small-scale Dataset TotAmt English Indo-European 6.56 4.00 0.00 0.00 10.56 Spanish Indo-European 3.98 0.31… See the full description on the dataset page: https://huggingface.co/datasets/Henrychur/MMedC.
orai-nlp/ZelaiHandi	orai-nlp	Dataset Card for 🌱ZelaiHandi 🌱ZelaiHandi: A Large Collection of Basque Texts. ZelaiHandi, which means "large pasture" in Basque, is the largest collection of freely licensed and clean Basque texts to date (March 4th, 2024), gathered from selected web sources. This collection comprises approximately 521 million words. The dataset will receive periodical updates. The corpus has been released with the objective of “feeding” Large Language Models. Naturally, models that are… See the full description on the dataset page: https://huggingface.co/datasets/orai-nlp/ZelaiHandi.
parler-tts/mls_eng	parler-tts	Dataset Card for English MLS Dataset Summary This is a streamable version of the English version of the Multilingual LibriSpeech (MLS) dataset. The data archives were restructured from the original ones from OpenSLR to make it easier to stream. MLS dataset is a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox and consists of 8 languages - English, German, Dutch, Spanish, French, Italian, Portuguese… See the full description on the dataset page: https://huggingface.co/datasets/parler-tts/mls_eng.

google/wiki40b

google

Dataset Card for "wiki40b" Dataset Summary Clean-up text for 40+ Wikipedia languages editions of pages correspond to entities. The datasets have train/dev/test splits per language. The dataset is cleaned up by page filtering to remove disambiguation pages, redirect pages, deleted pages, and non-entity pages. Each example contains the wikidata id of the entity, and the full Wikipedia article after page processing that removes non-content sections and structured… See the full description on the dataset page: https://huggingface.co/datasets/google/wiki40b.

legacy-datasets/wikipedia

legacy-datasets

Wikipedia dataset containing cleaned articles of all languages. The datasets are built from the Wikipedia dump (https://dumps.wikimedia.org/) with one split per language. Each example contains the content of one full Wikipedia article with cleaning to strip markdown and unwanted sections (references, etc.).

KTH/nst

KTH

This database was created by Nordic Language Technology for the development of automatic speech recognition and dictation in Swedish. In this updated version, the organization of the data have been altered to improve the usefulness of the database. In the original version of the material, the files were organized in a specific folder structure where the folder names were meaningful. However, the file names were not meaningful, and there were also cases of files with identical names in different folders. This proved to be impractical, since users had to keep the original folder structure in order to use the data. The files have been renamed, such that the file names are unique and meaningful regardless of the folder structure. The original metadata files were in spl format. These have been converted to JSON format. The converted metadata files are also anonymized and the text encoding has been converted from ANSI to UTF-8.

SetFit/go_emotions

SetFit

GoEmotions This dataset is a port of the official go_emotions dataset on the Hub. It only contains the simplified subset as these are the only fields we need for text classification.

csebuetnlp/xlsum

csebuetnlp

We present XLSum, a comprehensive and diverse dataset comprising 1.35 million professionally annotated article-summary pairs from BBC, extracted using a set of carefully designed heuristics. The dataset covers 45 languages ranging from low to high-resource, for many of which no public dataset is currently available. XL-Sum is highly abstractive, concise, and of high quality, as indicated by human and intrinsic evaluation.

PolyAI/minds14

PolyAI

MINDS-14 is training and evaluation resource for intent detection task with spoken data. It covers 14 intents extracted from a commercial system in the e-banking domain, associated with spoken examples in 14 diverse language varieties.

huggan/wikiart

huggan

Dataset Summary Dataset containing 81,444 pieces of visual art from various artists, taken from WikiArt.org, along with class labels for each image : "artist" : 129 artist classes, including a "Unknown Artist" class "genre" : 11 genre classes, including a "Unknown Genre" class "style" : 27 style classes On WikiArt.org, the description for the "Artworks by Genre" page reads : A genre system divides artworks according to depicted themes and objects. A classical hierarchy of… See the full description on the dataset page: https://huggingface.co/datasets/huggan/wikiart.

google/fleurs

google

FLEURS Fleurs is the speech version of the FLoRes machine translation benchmark. We use 2009 n-way parallel sentences from the FLoRes dev and devtest publicly available sets, in 102 languages. Training sets have around 10 hours of supervision. Speakers of the train sets are different than speakers from the dev/test sets. Multilingual fine-tuning is used and ”unit error rate” (characters, signs) of all languages is averaged. Languages and results are also grouped into seven… See the full description on the dataset page: https://huggingface.co/datasets/google/fleurs.

toxigen/toxigen-data

toxigen

Dataset Card for ToxiGen Sign up for Data Access To access ToxiGen, first fill out this form. Dataset Summary This dataset is for implicit hate speech detection. All instances were generated using GPT-3 and the methods described in our paper. Languages All text is written in English. Dataset Structure Data Fields We release TOXIGEN as a dataframe with the following fields: prompt is the prompt used for… See the full description on the dataset page: https://huggingface.co/datasets/toxigen/toxigen-data.

ILSVRC/imagenet-1k

ILSVRC

ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are more than 100,000 synsets in WordNet, majority of them are nouns (80,000+). ImageNet aims to provide on average 1000 images to illustrate each synset. Images of each concept are quality-controlled and human-annotated. In its completion, ImageNet hopes to offer tens of millions of cleanly sorted images for most of the concepts in the WordNet hierarchy. ImageNet 2012 is the most commonly used subset of ImageNet. This dataset spans 1000 object classes and contains 1,281,167 training images, 50,000 validation images and 100,000 test images

facebook/voxpopuli

facebook

A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation.

stanfordnlp/sst2

stanfordnlp

Dataset Card for [Dataset Name] Dataset Summary The Stanford Sentiment Treebank is a corpus with fully labeled parse trees that allows for a complete analysis of the compositional effects of sentiment in language. The corpus is based on the dataset introduced by Pang and Lee (2005) and consists of 11,855 single sentences extracted from movie reviews. It was parsed with the Stanford parser and includes a total of 215,154 unique phrases from those parse trees, each… See the full description on the dataset page: https://huggingface.co/datasets/stanfordnlp/sst2.

codeparrot/apps

codeparrot

APPS is a benchmark for Python code generation, it includes 10,000 problems, which range from having simple oneline solutions to being substantial algorithmic challenges, for more details please refer to this paper: https://arxiv.org/pdf/2105.09938.pdf.

knkarthick/dialogsum

knkarthick

Dataset Card for DIALOGSum Corpus Dataset Description Links Homepage: https://aclanthology.org/2021.findings-acl.449 Repository: https://github.com/cylnlp/dialogsum Paper: https://aclanthology.org/2021.findings-acl.449 Point of Contact: https://huggingface.co/knkarthick Dataset Summary DialogSum is a large-scale dialogue summarization dataset, consisting of 13,460 (Plus 100 holdout data for topic generation) dialogues with… See the full description on the dataset page: https://huggingface.co/datasets/knkarthick/dialogsum.

kiddothe2b/contract-nli

kiddothe2b

ContractNLI: A Benchmark Dataset for ContractNLI in English

okite97/news-data

okite97

Dataset Card for news-data Dataset Summary The News Dataset is an English-language dataset containing just over 4k unique news articles scrapped from AriseTv- One of the most popular news television in Nigeria. Supported Tasks and Leaderboards It supports news article classification into different categories. Languages English Dataset Structure Data Instances ''' {'Title': 'Nigeria: APC Yet to Zone Party… See the full description on the dataset page: https://huggingface.co/datasets/okite97/news-data.

ShapeNet/ShapeNetCore

ShapeNet

This repository contains ShapeNetCore (v2), a subset of ShapeNet.ShapeNetCore is a densely annotated subset of ShapeNet covering 55 common object categories with ~51,300 unique 3D models. Each model in ShapeNetCore are linked to an appropriate synset in WordNet 3.0. Please see DATA.md for details about the data. If you use ShapeNet data, you agree to abide by the ShapeNet terms of use. You are only allowed to redistribute the data to your research associates and colleagues provided that… See the full description on the dataset page: https://huggingface.co/datasets/ShapeNet/ShapeNetCore.

zeroshot/twitter-financial-news-sentiment

zeroshot

Dataset Description The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their sentiment. The dataset holds 11,932 documents annotated with 3 labels: sentiments = { "LABEL_0": "Bearish", "LABEL_1": "Bullish", "LABEL_2": "Neutral" } The data was collected using the Twitter API. The current dataset supports the multi-class… See the full description on the dataset page: https://huggingface.co/datasets/zeroshot/twitter-financial-news-sentiment.

priyank-m/chinese_text_recognition

priyank-m

Source of data: https://github.com/FudanVI/benchmarking-chinese-text-recognition

Gustavosta/Stable-Diffusion-Prompts

Gustavosta

Stable Diffusion Dataset This is a set of about 80,000 prompts filtered and extracted from the image finder for Stable Diffusion: "Lexica.art". It was a little difficult to extract the data, since the search engine still doesn't have a public API without being protected by cloudflare. If you want to test the model with a demo, you can go to: "spaces/Gustavosta/MagicPrompt-Stable-Diffusion". If you want to see the model, go to: "Gustavosta/MagicPrompt-Stable-Diffusion".

jamescalam/youtube-transcriptions

jamescalam

The YouTube transcriptions dataset contains technical tutorials (currently from James Briggs, Daniel Bourke, and AI Coffee Break) transcribed using OpenAI's Whisper (large). Each row represents roughly a sentence-length chunk of text alongside the video URL and timestamp. Note that each item in the dataset contains just a short chunk of text. For most use cases you will likely need to merge multiple rows to create more substantial chunks of text, if you need to do that, this code snippet will… See the full description on the dataset page: https://huggingface.co/datasets/jamescalam/youtube-transcriptions.

openai/summarize_from_feedback

openai

Summarize from Feedback contains the human feedback data released by the "Learning to summarize from human feedback" paper.

ds4sd/DocLayNet

ds4sd

DocLayNet is a human-annotated document layout segmentation dataset from a broad variety of document sources.

reazon-research/reazonspeech

reazon-research

Dataset Card for ReazonSpeech Dataset Summary This dataset contains a diverse set of natural Japanese speech, collected from terrestrial television streams. It contains more than 35000 hours of audio. Paper: ReazonSpeech: A Free and Massive Corpus for Japanese ASR Disclaimer TO USE THIS DATASET, YOU MUST AGREE THAT YOU WILL USE THE DATASET SOLELY FOR THE PURPOSE OF JAPANESE COPYRIGHT ACT ARTICLE 30-4. Dataset Format Audio files are… See the full description on the dataset page: https://huggingface.co/datasets/reazon-research/reazonspeech.

keremberke/table-extraction

keremberke

Dataset Labels ['bordered', 'borderless'] Number of Images {'test': 34, 'train': 238, 'valid': 70} How to Use Install datasets: pip install datasets Load the dataset: from datasets import load_dataset ds = load_dataset("keremberke/table-extraction", name="full") example = ds['train'][0] Roboflow Dataset Page https://universe.roboflow.com/mohamed-traore-2ekkp/table-extraction-pdf/dataset/2 Citation… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/table-extraction.

swaption2009/20k-en-zh-translation-pinyin-hsk

swaption2009

20,000+ chinese sentences with translations and pinyin Source: https://mnemosyne-proj.org/cards/20000-chinese-sentences-translations-and-pinyin Contributed by: Brian Vaughan http://brianvaughan.net/ Dataset Structure Each sample consists of: English sentence HSK level Chinese translation Pinyin separator ("--") Other Info from the Source HSK level All of the sentences came from sample sentences intended to describe a particular… See the full description on the dataset page: https://huggingface.co/datasets/swaption2009/20k-en-zh-translation-pinyin-hsk.

alespalla/chatbot_instruction_prompts

alespalla

Dataset Card for Chatbot Instruction Prompts Datasets Dataset Summary This dataset has been generated from the following ones: tatsu-lab/alpaca Dahoas/instruct-human-assistant-prompt allenai/prosocial-dialog The datasets has been cleaned up of spurious entries and artifacts. It contains ~500k of prompt and expected resposne. This DB is intended to train an instruct-type model

HuggingFaceH4/CodeAlpaca_20K

HuggingFaceH4

This dataset splits the original CodeAlpaca dataset into train and test splits.

mozilla-foundation/common_voice_13_0

mozilla-foundation

Dataset Card for Common Voice Corpus 13.0 Dataset Summary The Common Voice dataset consists of a unique MP3 and corresponding text file. Many of the 27141 recorded hours in the dataset also include demographic metadata like age, sex, and accent that can help improve the accuracy of speech recognition engines. The dataset currently consists of 17689 validated hours in 108 languages, but more voices and languages are always added. Take a look at the Languages… See the full description on the dataset page: https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0.

bigcode/starcoderdata

bigcode

StarCoder Training Dataset Dataset description This is the dataset used for training StarCoder and StarCoderBase. It contains 783GB of code in 86 programming languages, and includes 54GB GitHub Issues + 13GB Jupyter notebooks in scripts and text-code pairs, and 32GB of GitHub commits, which is approximately 250 Billion tokens. Dataset creation The creation and filtering of The Stack is explained in the original dataset, we additionally decontaminate… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/starcoderdata.

RyokoAI/ShareGPT52K

RyokoAI

Dataset Card for ShareGPT52K90K Dataset Summary This dataset is a collection of approximately 52,00090,000 conversations scraped via the ShareGPT API before it was shut down. These conversations include both user prompts and responses from OpenAI's ChatGPT. This repository now contains the new 90K conversations version. The previous 52K may be found in the old/ directory. Supported Tasks and Leaderboards text-generation Languages… See the full description on the dataset page: https://huggingface.co/datasets/RyokoAI/ShareGPT52K.

anon8231489123/ShareGPT_Vicuna_unfiltered

anon8231489123

Further cleaning done. Please look through the dataset and ensure that I didn't miss anything. Update: Confirmed working method for training the model: https://huggingface.co/AlekseyKorshuk/vicuna-7b/discussions/4#64346c08ef6d5abefe42c12c Two choices: Removes instances of "I'm sorry, but": https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/blob/main/ShareGPT_V3_unfiltered_cleaned_split_no_imsorry.json Has instances of "I'm sorry, but":… See the full description on the dataset page: https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered.

dominguesm/Canarim-Instruct-PTBR-Dataset

dominguesm

🐥 🇧🇷 Canarim Instruct Dataset [🐱 Github] What's Canarim? Canarim is a dataset with over 300,000 instructions in Portuguese, ranging from simple instructions like "Descreva os efeitos do aquecimento global" to more complex instructions like "Nesta tarefa, você precisa ser capaz de resumir uma determinada lista de pontos-chave" where additional context is provided. Why it's called Canarim? "Canarim" is spoken in some regions of Brazil… See the full description on the dataset page: https://huggingface.co/datasets/dominguesm/Canarim-Instruct-PTBR-Dataset.

kunishou/databricks-dolly-15k-ja

kunishou

This dataset was created by automatically translating "databricks-dolly-15k" into Japanese.This dataset is licensed under CC-BY-SA-3.0 Last Update : 2023-05-11 databricks-dolly-15k-jahttps://github.com/kunishou/databricks-dolly-15k-jadatabricks-dolly-15khttps://github.com/databrickslabs/dolly/tree/master/data

OpenAssistant/oasst1

OpenAssistant

OpenAssistant Conversations Dataset (OASST1) Dataset Summary In an effort to democratize research on large-scale alignment, we release OpenAssistant Conversations (OASST1), a human-generated, human-annotated assistant-style conversation corpus consisting of 161,443 messages in 35 different languages, annotated with 461,292 quality ratings, resulting in over 10,000 fully annotated conversation trees. The corpus is a product of a worldwide crowd-sourcing effort… See the full description on the dataset page: https://huggingface.co/datasets/OpenAssistant/oasst1.

shareAI/ShareGPT-Chinese-English-90k

shareAI

ShareGPT-Chinese-English-90k Bilingual Human-Machine QA Dataset A high-quality Chinese-English parallel bilingual human-machine QA dataset, covering user questions in real and complex scenarios. It is used for training high-quality dialogue models (more robust in instruction distribution than those datasets generated by repeatedly calling API interfaces to simulate machine-generated Q&A, like Moss) Features: Provides fully semantically equivalent Chinese-English parallel… See the full description on the dataset page: https://huggingface.co/datasets/shareAI/ShareGPT-Chinese-English-90k.

liuhaotian/LLaVA-CC3M-Pretrain-595K

liuhaotian

LLaVA Visual Instruct CC3M 595K Pretrain Dataset Card Dataset details Dataset type: LLaVA Visual Instruct CC3M Pretrain 595K is a subset of CC-3M dataset, filtered with a more balanced concept coverage distribution. Captions are also associated with BLIP synthetic caption for reference. It is constructed for the pretraining stage for feature alignment in visual instruction tuning. We aim to build large multimodal towards GPT-4 vision/language capability. Dataset… See the full description on the dataset page: https://huggingface.co/datasets/liuhaotian/LLaVA-CC3M-Pretrain-595K.

howard-hou/OCR-VQA

howard-hou

Dataset Card for "OCR-VQA" More Information needed

WizardLMTeam/WizardLM_evol_instruct_70k

WizardLMTeam

This is the training data of WizardLM. News 🔥 🔥 🔥 [08/11/2023] We release WizardMath Models. 🔥 Our WizardMath-70B-V1.0 model slightly outperforms some closed-source LLMs on the GSM8K, including ChatGPT 3.5, Claude Instant 1 and PaLM 2 540B. 🔥 Our WizardMath-70B-V1.0 model achieves 81.6 pass@1 on the GSM8k Benchmarks, which is 24.8 points higher than the SOTA open-source LLM. 🔥 Our WizardMath-70B-V1.0 model achieves 22.7 pass@1 on the MATH Benchmarks, which is 9.2 points… See the full description on the dataset page: https://huggingface.co/datasets/WizardLMTeam/WizardLM_evol_instruct_70k.

bigcode/governance-card

bigcode

This document serves as an overview of the different mechanisms and areas of governance in the BigCode project. It aims to support transparency by providing relevant information about choices that were made during the project to the broader public, and to serve as an example of intentional governance of an open research project that future endeavors can leverage to shape their own approach.The first section, Project Structure, covers the project organization, its stated goals and values, its… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/governance-card.

FreedomIntelligence/huatuo_knowledge_graph_qa

FreedomIntelligence

Dataset Card for Huatuo_knowledge_graph_qa Dataset Summary We built this QA dataset based on the medical knowledge map, with a total of 798,444 pieces of data, in which the questions are constructed by means of templates, and the answers are the contents of the entries in the knowledge map. Dataset Creation Source Data… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/huatuo_knowledge_graph_qa.

cognitivecomputations/wizard_vicuna_70k_unfiltered

cognitivecomputations

This dataset is the wizard_vicuna dataset junelee/wizard_vicuna_70k, removing conversations with alignment. 34598 conversations remain. inspired by https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered All credit to anon8231489123 I basically took his scripts and applied them to this new dataset.

tiiuae/falcon-refinedweb

tiiuae

📀 Falcon RefinedWeb Falcon RefinedWeb is a massive English web dataset built by TII and released under an ODC-By 1.0 license. See the 📓 paper on arXiv for more details. RefinedWeb is built through stringent filtering and large-scale deduplication of CommonCrawl; we found models trained on RefinedWeb to achieve performance in-line or better than models trained on curated datasets, while only relying on web data. RefinedWeb is also "multimodal-friendly": it contains links and… See the full description on the dataset page: https://huggingface.co/datasets/tiiuae/falcon-refinedweb.

FreedomIntelligence/huatuo_encyclopedia_qa

FreedomIntelligence

Dataset Card for Huatuo_encyclopedia_qa Dataset Summary This dataset has a total of 364,420 pieces of medical QA data, some of which have multiple questions in different ways. We extract medical QA pairs from plain texts (e.g., medical encyclopedias and medical articles). We collected 8,699 encyclopedia entries for diseases and 2,736 encyclopedia entries for medicines on Chinese Wikipedia. Moreover, we crawled 226,432 high-quality medical articles from the Qianwen… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/huatuo_encyclopedia_qa.

Haidra-Org/AI-Horde-Ratings

Haidra-Org

AI Horde Aesthetic and Artifact Ratings A dataset of exported aesthetic and artifact ratings provided by the AI Horde community through our open ratings API. Each row in this dataset presents the rating for a single image from the diffusiondb. Each image UUID in this parquet will match the diffusiondb filename. Each rating contains an aesthetic rating of 1-10, where 1 represents an image found distasteful, and 10 an image most found very pleasing. This is an explicitly… See the full description on the dataset page: https://huggingface.co/datasets/Haidra-Org/AI-Horde-Ratings.

lucasmccabe-lmi/CodeAlpaca-20k

lucasmccabe-lmi

Dataset Card for "CodeAlpaca-20k" We provide a minor modification of the CodeAlpaca-20k dataset. In particular, we add the phrase, "Write corresponding code in Python." if the intended language is not explicitly stated. Numbers: Prompts: 20022 Tokens: 1561716 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)

Slep/LAION-RVS-Fashion

Slep

LAION - Referred Visual Search - Fashion Introduced in LRVSF-Fashion: Extending Visual Search with Referring Instructions Simon Lepage — Jérémie Mary — David Picard CRITEO AI Lab & ENPC Useful Links Test set — Benchmark Code — LRVS-F Leaderboard — Demo Composition LAION-RVS-Fashion is composed of images from : LAION 2B EN LAION 2B MULTI TRANSLATED LAION 1B NOLANG TRANSLATED These images have been grouped based on extracted product IDs. Each… See the full description on the dataset page: https://huggingface.co/datasets/Slep/LAION-RVS-Fashion.

flaviagiammarino/vqa-rad

flaviagiammarino

Dataset Card for VQA-RAD Dataset Description VQA-RAD is a dataset of question-answer pairs on radiology images. The dataset is intended to be used for training and testing Medical Visual Question Answering (VQA) systems. The dataset includes both open-ended questions and binary "yes/no" questions. The dataset is built from MedPix, which is a free open-access online database of medical images. The question-answer pairs were manually generated by a team of… See the full description on the dataset page: https://huggingface.co/datasets/flaviagiammarino/vqa-rad.

GAIR/lima

GAIR

A high-quality dataset for efficient instruction tuning.

PKU-Alignment/BeaverTails

PKU-Alignment

Dataset Card for BeaverTails BeaverTails is an AI safety-focused collection comprising a series of datasets. This repository includes human-labeled data consisting of question-answer (QA) pairs, each identified with their corresponding harm categories. It should be noted that a single QA pair can be associated with more than one category. The 14 harm categories are defined as follows: Animal Abuse: This involves any form of cruelty or harm inflicted on animals, including… See the full description on the dataset page: https://huggingface.co/datasets/PKU-Alignment/BeaverTails.

cerebras/SlimPajama-627B

cerebras

The dataset consists of 59166 jsonl files and is ~895GB compressed. It is a cleaned and deduplicated version of Together's RedPajama. Check out our blog post explaining our methods, our code on GitHub, and join the discussion on the Cerebras Discord. Getting Started You can download the dataset using Hugging Face datasets: from datasets import load_dataset ds = load_dataset("cerebras/SlimPajama-627B") Background Today we are releasing SlimPajama – the largest… See the full description on the dataset page: https://huggingface.co/datasets/cerebras/SlimPajama-627B.

maharshipandya/spotify-tracks-dataset

maharshipandya

Content This is a dataset of Spotify tracks over a range of 125 different genres. Each track has some audio features associated with it. The data is in CSV format which is tabular and can be loaded quickly. Usage The dataset can be used for: Building a Recommendation System based on some user input or preference Classification purposes based on audio features and available genres Any other application that you can think of. Feel free to discuss!… See the full description on the dataset page: https://huggingface.co/datasets/maharshipandya/spotify-tracks-dataset.

zzliang/GRIT

zzliang

GRIT: Large-Scale Training Corpus of Grounded Image-Text Pairs Dataset Summary We introduce GRIT, a large-scale dataset of Grounded Image-Text pairs, which is created based on image-text pairs from COYO-700M and LAION-2B. We construct a pipeline to extract and link text spans (i.e., noun phrases, and referring expressions) in the caption to their corresponding image regions. More details can be found in the paper. Supported Tasks During the… See the full description on the dataset page: https://huggingface.co/datasets/zzliang/GRIT.

matorus/coder

matorus

Training dataset for finetuning for human-eval. This dataset has been created from the following datasets: sahil2801/CodeAlpaca-20k sahil2801/code_instructions_120k mhhmm/leetcode-solutions-python teknium1/GPTeacher Script for generating dataset: create_dataset.py.

theblackcat102/evol-codealpaca-v1

theblackcat102

Evolved codealpaca Updates: 2023/08/26 - Filtered results now only contain pure english instruction and removed any mentioned of trained by OAI response Median sequence length : 471 We employed a methodology similar to that of WizardCoder, with the exception that ours is open-source. We used the gpt-4-0314 and gpt-4-0613 models to augment and answer each response, with the bulk of generation handled by gpt-4-0314. The aim of this dataset is twofold: firstly, to facilitate the… See the full description on the dataset page: https://huggingface.co/datasets/theblackcat102/evol-codealpaca-v1.

mlabonne/guanaco-llama2-1k

mlabonne

Guanaco-1k: Lazy Llama 2 Formatting This is a subset (1000 samples) of the excellent timdettmers/openassistant-guanaco dataset, processed to match Llama 2's prompt format as described in this article. It was created using the following colab notebook. Useful if you don't want to reformat it by yourself (e.g., using a script). It was designed for this article about fine-tuning a Llama 2 (chat) model in a Google Colab.

heliosbrahma/mental_health_chatbot_dataset

heliosbrahma

Dataset Card for "heliosbrahma/mental_health_chatbot_dataset" Dataset Description Dataset Summary This dataset contains conversational pair of questions and answers in a single text related to Mental Health. Dataset was curated from popular healthcare blogs like WebMD, Mayo Clinic and HeatlhLine, online FAQs etc. All questions and answers have been anonymized to remove any PII data and pre-processed to remove any unwanted characters.… See the full description on the dataset page: https://huggingface.co/datasets/heliosbrahma/mental_health_chatbot_dataset.

LibrAI/do-not-answer

LibrAI

Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs Overview Do not answer is an open-source dataset to evaluate LLMs' safety mechanism at a low cost. The dataset is curated and filtered to consist only of prompts to which responsible language models do not answer. Besides human annotations, Do not answer also implements model-based evaluation, where a 600M fine-tuned BERT-like evaluator achieves comparable results with human and GPT-4.… See the full description on the dataset page: https://huggingface.co/datasets/LibrAI/do-not-answer.

qgyd2021/chinese_ner_sft

qgyd2021

中文实体识别指令数据集收集开源的实体识别数据集, 将其制作为 sft 数据集用于 LLM 微调. 该数据集的目的是构建通用实体识别的LLM研究. 数据集分为三大类: {dataset_name}, {dataset_name}_template, {dataset_name}_prompt. {dataset_name}: 为对应的实体识别数据集. {dataset_name}_template: 是为各数据集编写的 prompt 模板, 因为各数据集的主题不同, 所以模板分别编写会更加准确. {dataset_name}_prompt: 是根据 {dataset_name} 和 {dataset_name}_template 合成的 prompt 数据集. 由于是动态生成的 huggingface 可能无法展示, 以下是一些数据示例. 数据示例展开查看 { "prompt": "在做手机智能助手上, 你需要识别用户话语中的关键实体, 实体类型包括:\n联系人姓名,场景,主旋律,乐器名称,曲风,手机号码,语言,时代,目的地… See the full description on the dataset page: https://huggingface.co/datasets/qgyd2021/chinese_ner_sft.

teknium/openhermes

teknium

OpenHermes Dataset The OpenHermes dataset is composed of 242,000 entries of primarily GPT-4 generated data, from open datasets across the AI landscape, including: OpenHermes 13B is the first fine tune of the Hermes dataset that has a fully open source dataset! OpenHermes was trained on 242,000 entries of primarily GPT-4 generated data, from open datasets across the AI landscape, including: GPTeacher - General Instruct, Roleplay v1, Roleplay v2, and Code Instruct Datasets, by… See the full description on the dataset page: https://huggingface.co/datasets/teknium/openhermes.

bugdaryan/sql-create-context-instruction

bugdaryan

Overview This dataset is built upon SQL Create Context, which in turn was constructed using data from WikiSQL and Spider. There are 78,577 examples of natural language queries, SQL CREATE TABLE statements, and SQL Query answering the question using the CREATE statement as context. This dataset was built with text-to-SQL LLMs in mind, intending to prevent hallucination of column and table names often seen when trained on text-to-SQL datasets. The CREATE TABLE statement can often… See the full description on the dataset page: https://huggingface.co/datasets/bugdaryan/sql-create-context-instruction.

re-align/just-eval-instruct

re-align

Just Eval Instruct Highlights Data sources: AlpacaEval (covering 5 datasets), LIMA-test, MT-bench, Anthropic red-teaming, and MaliciousInstruct. 1K examples: 1,000 instructions, including 800 for problem-solving test, and 200 specifically for safety test. Category: We tag each example with (one or multiple) labels on its task types and topics.… See the full description on the dataset page: https://huggingface.co/datasets/re-align/just-eval-instruct.

a686d380/sis-novel

a686d380

这是一个中文H小说数据集，收集自sis001 sis-novel1为中短篇小说，112182项，解压缩后大小5.7GB，数据截止2022年7月 sis-novel2为长篇小说，4555项，解压缩后大小3.6GB，数据截止2023年3月数据均为未清洗的txt版本，并且可能包含有评论

glaiveai/glaive-code-assistant

glaiveai

Glaive-code-assistant Glaive-code-assistant is a dataset of ~140k code problems and solutions generated using Glaive’s synthetic data generation platform. The data is intended to be used to make models act as code assistants, and so the data is structured in a QA format where the questions are worded similar to how real users will ask code related questions. The data has ~60% python samples. To report any problems or suggestions in the data, join the Glaive discord

ShengbinYue/DISC-Law-SFT

ShengbinYue

DISC-Law-SFT Dataset Legal Intelligent systems in Chinese require a combination of various abilities, including legal text understanding and generation. To achieve this, we have constructed a high-quality supervised fine-tuning dataset called DISC-Law-SFT, which covers different legal scenarios such as legal information extraction, legal judgment prediction, legal document summarization, and legal question answering. DISC-Law-SFT comprises two subsets, DISC-Law-SFT-Pair and… See the full description on the dataset page: https://huggingface.co/datasets/ShengbinYue/DISC-Law-SFT.

MBZUAI/VideoInstruct-100K

MBZUAI

VideoInstruct100K is a high-quality video conversation dataset generated using human-assisted and semi-automatic annotation techniques. The question answers in the dataset are related to, Video Summariazation Description-based question-answers (exploring spatial, temporal, relationships, and reasoning concepts) Creative/generative question-answers For mored details, please visit Oryx/VideoChatGPT/video-instruction-data-generation. If you find this dataset useful, please consider citing the… See the full description on the dataset page: https://huggingface.co/datasets/MBZUAI/VideoInstruct-100K.

FinGPT/fingpt-fiqa_qa

FinGPT

Dataset Card for "fingpt-fiqa_qa" More Information needed

heegyu/chart2text_statista

heegyu

Dataset Card for "chart2text_statista" original dataset: https://github.com/vis-nlp/Chart-to-text

AI4Math/MathVista

AI4Math

Dataset Card for MathVista Dataset Description Paper Information Dataset Examples Leaderboard Dataset Usage Data Downloading Data Format Data Visualization Data Source Automatic Evaluation License Citation Dataset Description MathVista is a consolidated Mathematical reasoning benchmark within Visual contexts. It consists of three newly created datasets, IQTest, FunctionQA, and PaperQA, which address the missing visual domains and are tailored to evaluate… See the full description on the dataset page: https://huggingface.co/datasets/AI4Math/MathVista.

Weyaxi/huggingface-leaderboard

Weyaxi

Huggingface Leaderboard's History Dataset 🏆 This is the history dataset of Huggingface Leaderboard. 🗒️ This dataset contains full dataframes in a CSV file for each time lapse. ⌛ This dataset is automatically updated when space restarts. (Which is approximately every 6 hours) Leaderboard Link 🔗 Weyaxi/huggingface-leaderboard

satellite-image-deep-learning/SODA-A

satellite-image-deep-learning

SODA-A comprises 2513 high-resolution images of aerial scenes, which has 872069 instances annotated with oriented rectangle box annotations over 9 classes. Website

HuggingFaceH4/ultrafeedback_binarized

HuggingFaceH4

Dataset Card for UltraFeedback Binarized Dataset Description This is a pre-processed version of the UltraFeedback dataset and was used to train Zephyr-7Β-β, a state of the art chat model at the 7B parameter scale. The original UltraFeedback dataset consists of 64k prompts, where each prompt is accompanied with four model completions from a wide variety of open and proprietary models. GPT-4 is then used to assign a score to each completion, along criteria like… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceH4/ultrafeedback_binarized.

lmsys/toxic-chat

lmsys

Update [01/31/2024] We update the OpenAI Moderation API results for ToxicChat (0124) based on their updated moderation model on on Jan 25, 2024.[01/28/2024] We release an official T5-Large model trained on ToxicChat (toxicchat0124). Go and check it for you baseline comparision![01/19/2024] We have a new version of ToxicChat (toxicchat0124)! Content This dataset contains toxicity annotations on 10K user prompts collected from the Vicuna online demo. We utilize a… See the full description on the dataset page: https://huggingface.co/datasets/lmsys/toxic-chat.

allenai/WildChat

allenai

Dataset Card for WildChat Note: a newer version with 1 million conversations and demographic information can be found here. Dataset Description Paper: https://arxiv.org/abs/2405.01470 Interactive Search Tool: https://wildvisualizer.com (paper) License: ODC-BY Language(s) (NLP): multi-lingual Point of Contact: Yuntian Deng Dataset Summary WildChat is a collection of 650K conversations between human users and ChatGPT. We… See the full description on the dataset page: https://huggingface.co/datasets/allenai/WildChat.

hltcoe/megawika-report-generation

hltcoe

Dataset Card for MegaWika for Report Generation Dataset Summary MegaWika is a multi- and crosslingual text dataset containing 30 million Wikipedia passages with their scraped and cleaned web citations. The passages span 50 Wikipedias in 50 languages, and the articles in which the passages were originally embedded are included for convenience. Where a Wikipedia passage is in a non-English language, an automated English translation is provided. This dataset… See the full description on the dataset page: https://huggingface.co/datasets/hltcoe/megawika-report-generation.

kunishou/oasst1-chat-44k-ja

kunishou

oasst1-89k-jaをチャット形式に変換したデータセットになります。マルチターン会話でのファインチューニングをする際にご活用下さい（1レコードのトークン長が大きいのでそれなりの計算リソースが必要になります）。フォーマットは ShareGPT 形式になっています。ファインチューニングをする際はこちらの記事を参考にして下さい。 oasst1-ja-89k Repositoryhttps://github.com/kunishou/oasst1-89k-ja OpenAssistant/oasst1https://huggingface.co/datasets/OpenAssistant/oasst1

facebook/emu_edit_test_set_generations

facebook

Dataset Card for the Emu Edit Generations on Emu Edit Test Set Dataset Summary This dataset contains Emu Edit's generations on the Emu Edit test set. For more information please read our paper or visit our homepage. Licensing Information Licensed with CC-BY-NC 4.0 License available here. Citation Information @inproceedings{Sheynin2023EmuEP, title={Emu Edit: Precise Image Editing via Recognition and Generation Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/facebook/emu_edit_test_set_generations.

EDS-lab/electricity-demand

EDS-lab

Electricity Demand Dataset This dataset compiles and harmonizes multiple open smart meter datasets. Curated by: Attila Balint License: BSD 3-clause "New" or "Revised" licence Uses This smart meter dataset facilitates primarily electricity demand forecasting. Dataset Structure The dataset contains three main files. data/demand.parquet data/metadata.parquet data/weather.parquet data/demand.parquet This file contains the electricity… See the full description on the dataset page: https://huggingface.co/datasets/EDS-lab/electricity-demand.

HAERAE-HUB/KMMLU

HAERAE-HUB

KMMLU (Korean-MMLU) We propose KMMLU, a new Korean benchmark with 35,030 expert-level multiple-choice questions across 45 subjects ranging from humanities to STEM. Unlike previous Korean benchmarks that are translated from existing English benchmarks, KMMLU is collected from original Korean exams, capturing linguistic and cultural aspects of the Korean language. We test 26 publically available and proprietary LLMs, identifying significant room for improvement. The best… See the full description on the dataset page: https://huggingface.co/datasets/HAERAE-HUB/KMMLU.

ise-uiuc/Magicoder-Evol-Instruct-110K

ise-uiuc

A decontaminated version of evol-codealpaca-v1. Decontamination is done in the same way as StarCoder (bigcode decontamination process).

XzJosh/audiodataset

XzJosh

音频数据集制作：Xz乔希注意 1、数据集均取自对应人物视频切片，声音版权归属于对应人物，早期质量一坨的就没上传； 2、音频仅进行分离人声及自动切片，未进行精选，请下载进行抽选试听后再考虑是否使用（弃用音频在手工标注时进行了跳过）； 3、手工标注文件随机掉落（手工标注无法保证每一句都标的很标准，可以自行检查）； 4、请在法律允许范围内进行测试使用！使用本数据集产生问题请自行承担！

argilla/ultrafeedback-binarized-preferences-cleaned

argilla

UltraFeedback - Binarized using the Average of Preference Ratings (Cleaned) This dataset represents a new iteration on top of argilla/ultrafeedback-binarized-preferences, and is the recommended and preferred dataset by Argilla to use from now on when fine-tuning on UltraFeedback. Read more about Argilla's approach towards UltraFeedback binarization at argilla/ultrafeedback-binarized-preferences/README.md. Differences with argilla/ultrafeedback-binarized-preferences… See the full description on the dataset page: https://huggingface.co/datasets/argilla/ultrafeedback-binarized-preferences-cleaned.

Anthropic/discrim-eval

Anthropic

Dataset Card for Discrim-Eval Dataset Summary The data contains a diverse set of prompts covering 70 hypothetical decision scenarios, ranging from approving a loan to providing press credentials. Each prompt instructs the model to make a binary decision (yes/no) about a particular person described in the prompt. Each person is described in terms of three demographic attributes: age (ranging from 20 to 100 in increments of 10), gender (male, female, non-binary)… See the full description on the dataset page: https://huggingface.co/datasets/Anthropic/discrim-eval.

allenai/reward-bench

allenai

Code | Leaderboard | Prior Preference Sets | Results | Paper Reward Bench Evaluation Dataset Card The RewardBench evaluation dataset evaluates capabilities of reward models over the following categories: Chat: Includes the easy chat subsets (alpacaeval-easy, alpacaeval-length, alpacaeval-hard, mt-bench-easy, mt-bench-medium) Chat Hard: Includes the hard chat subsets (mt-bench-hard, llmbar-natural, llmbar-adver-neighbor, llmbar-adver-GPTInst, llmbar-adver-GPTOut… See the full description on the dataset page: https://huggingface.co/datasets/allenai/reward-bench.

google/Synthetic-Persona-Chat

google

Dataset Card for SPC: Synthetic-Persona-Chat Dataset Abstract from the paper introducing this dataset: High-quality conversational datasets are essential for developing AI models that can communicate with users. One way to foster deeper interactions between a chatbot and its user is through personas, aspects of the user's character that provide insights into their personality, motivations, and behaviors. Training Natural Language Processing (NLP) models on a diverse and… See the full description on the dataset page: https://huggingface.co/datasets/google/Synthetic-Persona-Chat.

osv5m/osv5m

osv5m

OpenStreetView-5M The Many Roads to Global Visual Geolocation 📍🌍 First authors: Guillaume Astruc, Nicolas Dufour, Ioannis SiglidisSecond authors: Constantin Aronssohn, Nacim Bouia, Stephanie Fu, Romain Loiseau, Van Nguyen Nguyen, Charles Raude, Elliot Vincent, Lintao XU, Hongyu ZhouLast author: Loic LandrieuResearch Institute: Imagine, LIGM, Ecole des Ponts, Univ Gustave Eiffel, CNRS, Marne-la-Vallée, France Introduction 🌍 OpenStreetView-5M is the first… See the full description on the dataset page: https://huggingface.co/datasets/osv5m/osv5m.

HuggingFaceM4/WebSight

HuggingFaceM4

Dataset Card for WebSight Dataset Description WebSight is a large synthetic dataset containing HTML/CSS codes representing synthetically generated English websites, each accompanied by a corresponding screenshot. This dataset serves as a valuable resource for tasks such as generating UI codes from a screenshot. It comes in two versions: v0.1: Websites are coded with HTML + CSS. They do not include real images. v0.2: Websites are coded with HTML + Tailwind CSS.… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceM4/WebSight.

Tele-AI/TeleChat-PTD

Tele-AI

TeleChat预训练数据集(TeleChat-PTD) 🤗 Hugging Face • 🏔 MindSpore️ • 🦉 github️ • 🐾 gitee️ • 💬 WeChat Tech Report 数据介绍 TeleChat-PTD 是由电信星辰大模型TeleChat预训练语料中抽取出的的综合性大规模中文数据集。数据主要来源于网页、书籍、官方媒体等。我们使用规则+模型的方式进行了相关的过滤，并对数据进行了相似性去重，尽可能地提取出高质量地数据。 TeleChat-PTD 数据集大约公开了2.7亿条数据，数据由纯中文文本构成，原始大小约1TB,压缩后480G，共189个文件。数据集中已经去除了其它冗余信息。数据下载 huggingface下载地址：数据下载天翼云盘下载地址：数据下载（访问码：pkg8）数据格式数据为jsonl格式，仅有一个字段data: 单条处理后的预训练数据数据清洗… See the full description on the dataset page: https://huggingface.co/datasets/Tele-AI/TeleChat-PTD.

osunlp/TravelPlanner

osunlp

TravelPlanner Dataset TravelPlanner is a benchmark crafted for evaluating language agents in tool-use and complex planning within multiple constraints. (See our paper for more details.) Introduction In TravelPlanner, for a given query, language agents are expected to formulate a comprehensive plan that includes transportation, daily meals, attractions, and accommodation for each day. TravelPlanner comprises 1,225 queries in total. The number of days and hard… See the full description on the dataset page: https://huggingface.co/datasets/osunlp/TravelPlanner.

Teklia/NorHand-v3-line

Teklia

NorHand v3 - line level Dataset Summary The NorHand v3 dataset comprises Norwegian letter and diary line images and text from 19th and early 20th century. Note that all images are resized to a fixed height of 128 pixels. Languages All the documents in the dataset are written in Norwegian Bokmål. Dataset Structure Data Instances { 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=4300x128 at 0x1A800E8E190… See the full description on the dataset page: https://huggingface.co/datasets/Teklia/NorHand-v3-line.

lmms-lab/DocVQA

lmms-lab

Large-scale Multi-modality Models Evaluation Suite Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval 🏠 Homepage | 📚 Documentation | 🤗 Huggingface Datasets This Dataset This is a formatted version of DocVQA. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models. @article{mathew2020docvqa, title={DocVQA: A Dataset for VQA on Document Images. CoRR abs/2007.00398 (2020)}… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab/DocVQA.

McAuley-Lab/Amazon-Reviews-2023

McAuley-Lab

Amazon Review 2023 is an updated version of the Amazon Review 2018 dataset. This dataset mainly includes reviews (ratings, text) and item metadata (desc- riptions, category information, price, brand, and images). Compared to the pre- vious versions, the 2023 version features larger size, newer reviews (up to Sep 2023), richer and cleaner meta data, and finer-grained timestamps (from day to milli-second).

Shitao/MLDR

Shitao

Dataset Summary MLDR is a Multilingual Long-Document Retrieval dataset built on Wikipeida, Wudao and mC4, covering 13 typologically diverse languages. Specifically, we sample lengthy articles from Wikipedia, Wudao and mC4 datasets and randomly choose paragraphs from them. Then we use GPT-3.5 to generate questions based on these paragraphs. The generated question and the sampled article constitute a new text pair to the dataset. The prompt for GPT3.5 is “You are a curious AI… See the full description on the dataset page: https://huggingface.co/datasets/Shitao/MLDR.

Locutusque/function-calling-chatml

Locutusque

Dataset Card for "function-calling-chatml" Converted glaiveai/Glaive-function-calling-v2 to chatml format. Example entry [ { "from": "system", "value": "You are a helpful assistant with access to the following functions. Use them if required -{\n \"name\": \"create_contact\",\n \"description\": \"Create a new contact\",\n \"parameters\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": {\n \"type\": \"string\",\n \"description\": \"The name of the… See the full description on the dataset page: https://huggingface.co/datasets/Locutusque/function-calling-chatml.

PJMixers/Math-Multiturn-1K-ShareGPT

PJMixers

All samples were created with this script, no GPT, just python.

nvidia/OpenMathInstruct-1

nvidia

OpenMathInstruct-1 OpenMathInstruct-1 is a math instruction tuning dataset with 1.8M problem-solution pairs generated using permissively licensed Mixtral-8x7B model. The problems are from GSM8K and MATH training subsets and the solutions are synthetically generated by allowing Mixtral model to use a mix of text reasoning and code blocks executed by Python interpreter. The dataset is split into train and validation subsets that we used in the ablations experiments. These two… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/OpenMathInstruct-1.

HuggingFaceTB/cosmopedia

HuggingFaceTB

Cosmopedia v0.1 Image generated by DALL-E, the prompt was generated by Mixtral-8x7B-Instruct-v0.1 Note: Cosmopedia v0.2 is available at smollm-corpus User: What do you think "Cosmopedia" could mean? Hint: in our case it's not related to cosmology. Mixtral-8x7B-Instruct-v0.1: A possible meaning for "Cosmopedia" could be an encyclopedia or collection of information about different cultures, societies, and topics from around the world, emphasizing diversity and global… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceTB/cosmopedia.

Henrychur/MMedC

Henrychur

MMedC 💻Github Repo 🖨️arXiv Paper The official pre-training dataset for "Towards Building Multilingual Language Model for Medicine". News We add Arabic and German corpus to MMedC. Introduction This repo contains MMedC, a multilingual medical corpus with 25.5 billion tokens. Language Family Filtering Content Textbooks Websites Small-scale Dataset TotAmt English Indo-European 6.56 4.00 0.00 0.00 10.56 Spanish Indo-European 3.98 0.31… See the full description on the dataset page: https://huggingface.co/datasets/Henrychur/MMedC.

orai-nlp/ZelaiHandi

orai-nlp

Dataset Card for 🌱ZelaiHandi 🌱ZelaiHandi: A Large Collection of Basque Texts. ZelaiHandi, which means "large pasture" in Basque, is the largest collection of freely licensed and clean Basque texts to date (March 4th, 2024), gathered from selected web sources. This collection comprises approximately 521 million words. The dataset will receive periodical updates. The corpus has been released with the objective of “feeding” Large Language Models. Naturally, models that are… See the full description on the dataset page: https://huggingface.co/datasets/orai-nlp/ZelaiHandi.

parler-tts/mls_eng

parler-tts

Dataset Card for English MLS Dataset Summary This is a streamable version of the English version of the Multilingual LibriSpeech (MLS) dataset. The data archives were restructured from the original ones from OpenSLR to make it easier to stream. MLS dataset is a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox and consists of 8 languages - English, German, Dutch, Spanish, French, Italian, Portuguese… See the full description on the dataset page: https://huggingface.co/datasets/parler-tts/mls_eng.