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micro-i-mvrdd/Micro-i-Lens-Open-Dataset
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micro-i-mvrdd
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Dataset introduction:
Micro-i-Lens-Open-Dataset is a lens 3D data obtained by scanning in a real factory environment using OCT technology. It is also the first open dataset that applies OCT technology to the field of transparent lens defect detection. All data has been retained in its original scanned form without any processing (resulting in a very large dataset :)). Given that most defects are typically very small in scale, it is essential to design robust data processing… See the full description on the dataset page: https://huggingface.co/datasets/micro-i-mvrdd/Micro-i-Lens-Open-Dataset.
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HankYe/Sampled_AIGCBench_text2image_ar_0.625
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HankYe
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Description
This dataset is intended for the implementation of image-to-video generation evaluations in the paper of AdaptiveDiffusion, which is composed of the original text-image pairs collected from AIGCBench v1.0 and a text file listing the randomly selected samples.
Data Organization
The dataset is organized into the following files:
AIGCBench_t2i_aspect_ratio_625.zip: 2002 images named by the index and the text description, adjusted to an aspect ratio of… See the full description on the dataset page: https://huggingface.co/datasets/HankYe/Sampled_AIGCBench_text2image_ar_0.625.
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cyberorigin/cyber_twist_the_tube
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cyberorigin
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CyberOrigin Dataset
Our data includes information from home services, the logistics industry, and laboratory scenarios.
For more details, please refer to our Offical Data Website
contents of dataset:
cyber_twist_the_tube # dataset root path
└── data/
├── metadata_ID1_240808.json
├── segment_ids_ID1_240808.bin # for each frame segment_ids uniquely points to the segment index that frame i came from. You may want to use this to separate non-contiguous frames from… See the full description on the dataset page: https://huggingface.co/datasets/cyberorigin/cyber_twist_the_tube.
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cyberorigin/cyber_fold_towels
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cyberorigin
|
CyberOrigin Dataset
Our data includes information from home services, the logistics industry, and laboratory scenarios.
For more details, please refer to our Offical Data Website
contents of dataset:
cyber_fold_towels # dataset root path
└── data/
├── metadata_ID1_240808.json
├── segment_ids_ID1_240808.bin # for each frame segment_ids uniquely points to the segment index that frame i came from. You may want to use this to separate non-contiguous frames from… See the full description on the dataset page: https://huggingface.co/datasets/cyberorigin/cyber_fold_towels.
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cyberagent/FaithCAMERA
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cyberagent
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Overview
In ad text generation (ATG), desirable ad text is both faithful and informative. That is, it should be faithful to the input document, while at the same time containing important information that appeals to potential customers.
The existing evaluation data, CAMERA (Mita et al.,2024), is suitable for evaluating informativeness, as it consists of reference ad texts created by ad creators. However, these references often include information unfaithful to the input, which… See the full description on the dataset page: https://huggingface.co/datasets/cyberagent/FaithCAMERA.
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ringos/bio-detailed-Llama-3.1-8B-gemma2-rm
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ringos
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Dataset Card for "bio-detailed-Llama-3.1-8B-gemma2-rm"
More Information needed
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cjvt/senticoref
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cjvt
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Slovene corpus for coreference resolution. Contains automatically(?) annotated named entities, manually annotated
coreferences, and manually verified lemmas and morphosyntactic tags.
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matejklemen/coref149
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matejklemen
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Slovene corpus for coreference resolution. Contains manually annotated coreferences.
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firstap/audio_s1_1
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firstap
|
Dusha is a bi-modal corpus suitable for speech emotion recognition (SER) tasks.
The dataset consists of audio recordings with Russian speech and their emotional labels.
The corpus contains approximately 350 hours of data. Four basic emotions that usually appear in a dialog with
a virtual assistant were selected: Happiness (Positive), Sadness, Anger and Neutral emotion.
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tdro-llm/finetune_data
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tdro-llm
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tdro-llm/finetune_data
tDRO: Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval. Guangyuan Ma, Yongliang Ma, Xing Wu, Zhenpeng Su, Ming Zhou and Songlin Hu.
This repo contains all fine-tuning data for Large Language Model-based Dense Retrieval. Please refer to this repo for details to reproduce.
A total of 25 heterogeneous retrieval fine-tuning datasets with Hard Negatives and Deduplication (with test sets) are listed as belows.… See the full description on the dataset page: https://huggingface.co/datasets/tdro-llm/finetune_data.
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DeL-TaiseiOzaki/magpie-reasoning-llama-nemotron-70b-100k
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DeL-TaiseiOzaki
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Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]… See the full description on the dataset page: https://huggingface.co/datasets/DeL-TaiseiOzaki/magpie-reasoning-llama-nemotron-70b-100k.
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toyxyz/SynthMoCap_smpl_512
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toyxyz
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https://github.com/microsoft/SynthMoCap
Rendered the SynthMoCap dataset as smpl.
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Centerwedding/centerwedding.com
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Centerwedding
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ชุดข้อมูล CenterWedding
ชุดข้อมูล CenterWedding เป็นชุดข้อมูลที่ครอบคลุมเกี่ยวกับการวางแผนและจัดการงานแต่งงาน ซึ่งออกแบบมาเพื่อช่วยให้นักพัฒนา นักวิจัย และผู้สนใจด้านการวิเคราะห์ข้อมูลสามารถสร้างแอปพลิเคชันหรือศึกษาวิจัยที่เกี่ยวข้องกับการจัดงานแต่งงานได้อย่างมีประสิทธิภาพ ข้อมูลในชุดนี้รวมถึงข้อมูลสถานที่จัดงาน ผู้ขาย บริการต่างๆ งบประมาณ แขก และอื่นๆ
สารบัญ
ภาพรวม
คุณสมบัติของข้อมูล
โครงสร้างชุดข้อมูล
วิธีการใช้งาน
การมีส่วนร่วม
ใบอนุญาต
การอ้างอิง
ติดต่อ… See the full description on the dataset page: https://huggingface.co/datasets/Centerwedding/centerwedding.com.
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Mitsuki-Sakamoto/hh-rlhf-12k-ja-formatted
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Mitsuki-Sakamoto
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Dataset Card for "hh-rlhf-12k-ja-formatted"
More Information needed
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forcemultiplier/517_Military_Field_Manuals_US_corpus
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forcemultiplier
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pdfs taken from https://thepiratebay.org/description.php?id=4624236
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Rxzh/NINCO
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Rxzh
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The NINCO dataset
The NINCO (No ImageNet Class Objects) dataset consists of 64 OOD classes with a total of 5879 samples.
The OOD classes were selected to have no categorical overlap with any classes of ImageNet-1K.
Then we inspected each sample individually to not contain ID objects.
Examples of individual sorting decisions:
Top: Samples that were excluded due to overlap with ID classes. Bottom: Samples from the same
OOD class that were included in the cleaned… See the full description on the dataset page: https://huggingface.co/datasets/Rxzh/NINCO.
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WBBT/serragpt
|
WBBT
|
from datasets import load_dataset
ds = load_dataset("KbsdJames/Omni-MATH")
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Ultralytics/Tiger-pose
|
Ultralytics
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Ultralytics Tiger-pose Dataset
Introduction
Ultralytics Tiger-pose is a specialized dataset aimed at the pose estimation of tigers. It consists of 210 traiREADME.mdning and 53 validation images, each annotated with 12 keypoints per tiger. Due to the dataset's narrow focus, it serves as an excellent resource for refining pose estimation models, particularly those that need to handle non-human subjects.
This dataset is intended for use with Ultralytics HUB and… See the full description on the dataset page: https://huggingface.co/datasets/Ultralytics/Tiger-pose.
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Nigahiga200/Steves
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Nigahiga200
|
license: apache-2.0
task_categories:
text-classification
token-classification
table-question-answering
question-answering
zero-shot-classification
translation
summarization
feature-extraction
text-generation
text2text-generation
fill-mask
sentence-similarity
text-to-speech
text-to-audio
automatic-speech-recognition
audio-to-audio
audio-classification
voice-activity-detection
depth-estimation
image-classification
object-detection
image-segmentation
text-to-image
image-to-text
image-to-image… See the full description on the dataset page: https://huggingface.co/datasets/Nigahiga200/Steves.
|
romrawinjp/mscoco
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romrawinjp
|
Common Objects in Context (COCO) Dataset
This dataset is English captions of COCO dataset.
The splits in this dataset is set according to Andrej Karpathy's split from dataset_coco.json file. The collection was created specifically for simplicity of use in training and evaluation pipeline by non-commercial and research purposes. The COCO images dataset is licensed under a Creative Commons Attribution 4.0 License.
Reference
@misc{lin2015microsoftcococommonobjects… See the full description on the dataset page: https://huggingface.co/datasets/romrawinjp/mscoco.
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thien04-co/thiencocungmenh
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thien04-co
|
Sao Thiên Cơ ở Cung Mệnh Sức Mạnh Tạo Nên Thành Công
Sao Thiên Cơ ở Cung Mệnh Sức Mạnh Tạo Nên Thành Công là một khía cạnh quan trọng trong nghiên cứu về chiêm tinh và phong thủy. Theo các nhà chiêm tinh, Sao Thiên Cơ đại diện cho sự tiến bộ, sáng tạo và thành công trong cuộc sống. Trong khi đó, Cung Mệnh được coi là ngôi nhà tâm linh của con người, chịu trách nhiệm điều hướng và ảnh hưởng đến số phận cá nhân. Bài viết này sẽ giới thiệu về vai trò của Sao Thiên Cơ trong Cung Mệnh và nhấn… See the full description on the dataset page: https://huggingface.co/datasets/thien04-co/thiencocungmenh.
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beatstoria/face-and-object-recognition
|
beatstoria
|
"# my-source-repository"
"# my-source-repository"
|
bunnycore/Gd-Script
|
bunnycore
|
Dataset Card for Gd-Script
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/bunnycore/Gd-Script/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/bunnycore/Gd-Script.
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MoritzLaurer/dataset_prompts
|
MoritzLaurer
|
Sharing prompts linked to datasets
This repo illustrates how you can use the hf_hub_prompts library to load prompts from YAML files in dataset repositories.
LLMs are increasingly used to help create datasets, for example for quality filtering or synthetic text generation.
The prompts used for creating a dataset are currently unsystematically shared on GitHub (example),
referenced in dataset cards (example), or stored in .txt files (example),
hidden in paper appendices or not… See the full description on the dataset page: https://huggingface.co/datasets/MoritzLaurer/dataset_prompts.
|
tom-010/msmarcov2.1-binary-answerability
|
tom-010
|
Dataset Description
This dataset is crafted for training a binary classification model to determine whether a given text passage answers a specific user query. Its primary purpose is to enhance our search engine by filtering out irrelevant passages, ensuring that users receive accurate and helpful responses to their questions.
Background and Motivation
In our search engine, users submit queries and receive multiple passages as results. Not all retrieved passages effectively answer the user's… See the full description on the dataset page: https://huggingface.co/datasets/tom-010/msmarcov2.1-binary-answerability.
|
multimolecule/eternabench-external.300
|
multimolecule
|
EternaBench-External
EternaBench-External consists of 31 independent RNA datasets from various biological sources, including viral genomes, mRNAs, and synthetic RNAs.
These sequences were probed using techniques such as SHAPE-CE, SHAPE-MaP, and DMS-MaP-seq to understand RNA secondary structures under different experimental and biological conditions.
This dataset serves as a benchmark for evaluating RNA structure prediction models, with a particular focus on generalization to… See the full description on the dataset page: https://huggingface.co/datasets/multimolecule/eternabench-external.300.
|
multimolecule/eternabench-external.600
|
multimolecule
|
EternaBench-External
EternaBench-External consists of 31 independent RNA datasets from various biological sources, including viral genomes, mRNAs, and synthetic RNAs.
These sequences were probed using techniques such as SHAPE-CE, SHAPE-MaP, and DMS-MaP-seq to understand RNA secondary structures under different experimental and biological conditions.
This dataset serves as a benchmark for evaluating RNA structure prediction models, with a particular focus on generalization to… See the full description on the dataset page: https://huggingface.co/datasets/multimolecule/eternabench-external.600.
|
multimolecule/eternabench-external.900
|
multimolecule
|
EternaBench-External
EternaBench-External consists of 31 independent RNA datasets from various biological sources, including viral genomes, mRNAs, and synthetic RNAs.
These sequences were probed using techniques such as SHAPE-CE, SHAPE-MaP, and DMS-MaP-seq to understand RNA secondary structures under different experimental and biological conditions.
This dataset serves as a benchmark for evaluating RNA structure prediction models, with a particular focus on generalization to… See the full description on the dataset page: https://huggingface.co/datasets/multimolecule/eternabench-external.900.
|
multimolecule/eternabench-external.1200
|
multimolecule
|
EternaBench-External
EternaBench-External consists of 31 independent RNA datasets from various biological sources, including viral genomes, mRNAs, and synthetic RNAs.
These sequences were probed using techniques such as SHAPE-CE, SHAPE-MaP, and DMS-MaP-seq to understand RNA secondary structures under different experimental and biological conditions.
This dataset serves as a benchmark for evaluating RNA structure prediction models, with a particular focus on generalization to… See the full description on the dataset page: https://huggingface.co/datasets/multimolecule/eternabench-external.1200.
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aractingi/reach_cube_sim_test
|
aractingi
|
This dataset was created using LeRobot.
|
open-llm-leaderboard/Youlln__ECE-PRYMMAL-0.5B-SLERP-V2-details
|
open-llm-leaderboard
|
Dataset Card for Evaluation run of Youlln/ECE-PRYMMAL-0.5B-SLERP-V2
Dataset automatically created during the evaluation run of model Youlln/ECE-PRYMMAL-0.5B-SLERP-V2
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Youlln__ECE-PRYMMAL-0.5B-SLERP-V2-details.
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open-llm-leaderboard/Youlln__ECE-PRYMMAL-0.5B-SLERP-V3-details
|
open-llm-leaderboard
|
Dataset Card for Evaluation run of Youlln/ECE-PRYMMAL-0.5B-SLERP-V3
Dataset automatically created during the evaluation run of model Youlln/ECE-PRYMMAL-0.5B-SLERP-V3
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Youlln__ECE-PRYMMAL-0.5B-SLERP-V3-details.
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atisharma/unslop
|
atisharma
|
The data
This is a synthetic dataset of just under 10K rows, but with close adherence to high-quality primary sources. The idea is to generate playthroughs in the style of interactive fiction or adventure games.
Unslop + tabbyAPI were used for the entire data pipeline.
Generation and filtering
The original sources were chunked and filtered to remove formatting and non-prose text.
Conversations were generated, mostly by Mistral Large.
The original chunks and the… See the full description on the dataset page: https://huggingface.co/datasets/atisharma/unslop.
|
lifeweb-ai/Divan
|
lifeweb-ai
|
DIVAN – Diverse Valuable NLP Dataset for PERSIAN
Overview
DIVAN is a comprehensive Persian (Farsi) dataset designed for various Natural Language Processing tasks. It contains over 100 million records from diverse sources including social media posts, comments, news articles, and blog posts. With more than 8 billion tokens, DIVAN provides a rich resource for Persian language processing tasks.
Dataset Details
Information
Description
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/lifeweb-ai/Divan.
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open-llm-leaderboard/Replete-AI__L3-Pneuma-8B-details
|
open-llm-leaderboard
|
Dataset Card for Evaluation run of Replete-AI/L3-Pneuma-8B
Dataset automatically created during the evaluation run of model Replete-AI/L3-Pneuma-8B
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Replete-AI__L3-Pneuma-8B-details.
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HavryliukA/token_class_2210
|
HavryliukA
|
Dataset Card for "token_class_2210"
More Information needed
|
5CD-AI/Vietnamese-lmms-lab-LLaVA-Video-178K-gg-translated
|
5CD-AI
|
Dataset Card for 5CD-AI/Vietnamese-lmms-lab-LLaVA-Video-178K-gg-translated
This translated dataset includes:
LLaVA-Video-178K: 178,509 caption entries, 960,791 open-ended QA (question and answer) items, and 196,198 multiple-choice QA items.
The video source of the original dataset is in this repo: lmms-lab/LLaVA-Video-178K
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RevaHQ/data-phishing-detection
|
RevaHQ
|
data-phishing-detection
A dataset to test methods to detect phishing emails
The file data.parquet contains the dataset, 400 emails. 200 are synthetic phishing attempts and 200 are synthetic regular emails.
Schema
input - an email, synthesized by an LLM, that is either a phishing attempt or a regular email.
output - 'Yes' if the email is a phishing attempt, 'No' otherwise.
Prompt
The prompt.md file contains a prompt that can be used with an LLM as a… See the full description on the dataset page: https://huggingface.co/datasets/RevaHQ/data-phishing-detection.
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tcotter/mojo-programming-language-qna
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tcotter
|
A synthetic dataset from Claude Sonnet 3.5. The source documents are real pulled from the Mojo documentation, but everything else is synthetic.
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saber1209caoke/koch_test
|
saber1209caoke
|
This dataset was created using LeRobot.
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ctu-aic/ask_library_cs
|
ctu-aic
|
Dataset Card for Ask the Library (Ptejte se knihovny)
Ask the Library contains questions and answers scraped from the webpage: https://www.ptejteseknihovny.cz/.
Dataset Details
Dataset Description
Ask the Library contains questions and answers scraped from the webpage: https://www.ptejteseknihovny.cz/. The questions have a broad range of topics like history, language, biology and others.
Curated by: AIC FEE CTU
Language(s) (NLP): Czech
License:… See the full description on the dataset page: https://huggingface.co/datasets/ctu-aic/ask_library_cs.
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roadz/solusdt_180_days
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roadz
|
SOLUSDT 180 Days Minute Data
This dataset contains historical SOL/USDT minute-by-minute data for the last 180 days, downloaded from the Binance API.
Contents
data_SOLUSDT.csv: Historical data with close_SOLUSDT column.
scaler_SOLUSDT.pkl: MinMaxScaler object to back-transform normalised data.
Number of rows in the CSV file: 259200
Start date of record: 2024-04-25 07:38:00
End record date: 2024-10-22 07:37:00
Data structure
open_time… See the full description on the dataset page: https://huggingface.co/datasets/roadz/solusdt_180_days.
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DatologyAI/lq_c4-subsets
|
DatologyAI
|
Dataset Card for "lq_c4-subsets"
More Information needed
|
bonbon-rj/MLLM_eval_dataset
|
bonbon-rj
|
This data is sourced from the CAM_FRONT image of the nuScenes val dataset. We extend our gratitude for their outstanding work!
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NewEden/Roleplay-Logs-Sharegpt-Ngram-cleaned
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NewEden
|
same as the previous but filtered "what do you" which was wayyyy too present
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FrancophonIA/modal
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FrancophonIA
|
Dataset origin: https://www.ortolang.fr/market/corpora/modal
Description
Corpus de dialogues italiens, anglais et français, annotés pour la modalité épistémique.
Environs 20.000 mots par langue, 2842 constructions épistémiques annotées (833 pour le corpus anglais, 1271 pour le corpus français, 720 pour le corpus Italien) .
Citation
@misc{11403/modal/v1,
title = {Modal - Modèles de l'annotation de la Modalité à l'Oral},
author = {LLL},
url =… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/modal.
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FrancophonIA/wh-in-situ-q-audio-books
|
FrancophonIA
|
Dataset origin: https://www.ortolang.fr/market/corpora/wh-in-situ-q-audio-books
Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger les données.
Description
Ce corpus est constitué des questions in situ de onze livres audio professionnels en français. Il a été construit pour l'article 'Pragmatic effects on the sentence-final intonation of answered wh-in-situ questions in French' dans le numéro spécial 'L'interrogative in situ' du Journal of… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/wh-in-situ-q-audio-books.
|
Langue-des-signes-francaise/dinlang-gespin-2023
|
Langue-des-signes-francaise
|
Dataset origin: https://www.ortolang.fr/market/corpora/dinlang-gespin-2023
Description
You will find here the video excerpts related to the article "Coordinating eating and languaging: the choreography of speech, sign, gesture and action in family dinners" written for GESPIN 2023 by the DinLang project team.
Citation
@misc{11403/dinlang-gespin-2023/v1,
title = {DinLang - GESPIN 2023},
author = {PRISMES and MoDyCo and SFL and DYLIS},
url =… See the full description on the dataset page: https://huggingface.co/datasets/Langue-des-signes-francaise/dinlang-gespin-2023.
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FrancophonIA/disc-oraux-semi-spontanes
|
FrancophonIA
|
Dataset origin: https://www.ortolang.fr/market/corpora/disc-oraux-semi-spontanes
Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger les données.
Description
Il s'agit d'un recueil de corpus de DISCours Oraux Semi-Spontanés, réalisés sur la tâche "Frog where are you" (Mayer, 1969). Il a été recueilli auprès de 110 informateurs, notamment 30 locuteurs natifs de l'anglais, du français et de l'italien (10 sujets pour chaque langue), 40… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/disc-oraux-semi-spontanes.
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open-llm-leaderboard/lalainy__ECE-PRYMMAL-0.5B-SLERP-V4-details
|
open-llm-leaderboard
|
Dataset Card for Evaluation run of lalainy/ECE-PRYMMAL-0.5B-SLERP-V4
Dataset automatically created during the evaluation run of model lalainy/ECE-PRYMMAL-0.5B-SLERP-V4
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/lalainy__ECE-PRYMMAL-0.5B-SLERP-V4-details.
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FrancophonIA/Propicto
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FrancophonIA
|
Dataset origin: https://www.ortolang.fr/market/corpora/propicto
Description
Le corpus Propicto est un corpus de données alignées parole/texte/pictogrammes (les pictogrammes correspondent à l'identifiant lié à un pictogramme ARASAAC) en français. Il contient également un corpus simplifié parole/texte/texte_simplifié.
Ce corpus a été créé dans le cadre du projet bilatéral franco-suisse PROPICTO, financé par l'Agence National de la Recherche (ANR-20-CE93-0005) et le Fonds… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/Propicto.
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speed/english_quotes_ja
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speed
|
This dataset is a translation of https://huggingface.co/datasets/Abirate/english_quotes into Japanese using the llm-jp/llm-jp-3-3.7b-instruct model.
The license follows the original dataset's Creative Commons Attribution 4.0 International License.
The translation was performed using text2dataset.
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NewEden/OpenCAI-ShareGPT
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NewEden
|
I converted the metherme conversion of OpenCAI to sharegpt
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FrancophonIA/CEFC-GOLD
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FrancophonIA
|
Dataset origin: https://www.ortolang.fr/market/corpora/cefc-gold
Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger les données.
Description
Une nouvelle version est en préparation. Dans l'attente de cette version les données ne sont pas accessibles.
Le CEFC-Gold est un corpus d'entraînement de 172 000 mots constitué à partir d'extraits représentants l'essentiel des genres présents dans le CEFC.
Il a fait l'objet d'un traitement automatique… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/CEFC-GOLD.
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speed/english_quotes_paraphrase
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speed
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This dataset is a paraphrase of https://huggingface.co/datasets/Abirate/english_quotes using the google/gemma-2-2b-it model.
The license follows the original dataset's Creative Commons Attribution 4.0 International License.
Paraphrasing was conducted using text2dataset.
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Asianfleet/3DComicScene
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Asianfleet
|
漫画 3D 场景数据集
整体结构
Architecture: 包含建筑相关的文件,细分为不同类型的建筑(如中国古代建筑、现代建筑、外国建筑等),并且每种建筑类型下又有室内、室外、材料、网格等子目录。
Characters: 包含各种角色的文件,分为动物(如水生动物、鸟类、哺乳动物、爬行动物)、幻想角色和人类(男性、女性)等。
Misc: 包含各种杂项内容,分为抽象、幻想、历史和科幻等类别。
Nature: 包含自然相关的文件,细分为风景、植物、岩石、树木和水体(如湖泊、海洋、河流)等。
Objects: 包含各种物体的文件,分为衣物、电子产品、家具、厨房用具、工具和武器(冷兵器和火器)等。
Textures: 包含不同材质的纹理文件,如陶瓷、布料、玻璃、金属、塑料、石材和木材等。
Vehicles: 包含各种交通工具的文件,分为自行车、汽车、飞机、船只和火车等。
数据存储标准
每一个类别文件夹都包含若干子文件夹,最后一级子文件夹中有三个数据文件夹:
images… See the full description on the dataset page: https://huggingface.co/datasets/Asianfleet/3DComicScene.
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BradMcDanel/refactorchat
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BradMcDanel
|
Model Card
Model Details
Dataset Name: RefactorChat
Version: 1.0
Date: October 19, 2024
Type: Multi-turn dialogue dataset for code refactoring and feature addition
Intended Use
Primary Use: Evaluating and training large language models on incremental code development tasks
Intended Users: Researchers and practitioners in natural language processing and software engineering
Dataset Composition
Size: 100 samples
Structure: Each… See the full description on the dataset page: https://huggingface.co/datasets/BradMcDanel/refactorchat.
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FrancophonIA/Transcriptions_CID
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FrancophonIA
|
Dataset origin: https://www.ortolang.fr/market/corpora/sldr000720
Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger les données.
Description
8 dialogues avec les données suivantes :• fichiers sons des micro-casques : un fichier par locuteur• annotation des unités inter-pausales (IPU)• transcription orthographique enrichie (TOE) des IPU, alignée avec le signal audio• transcription phonétique alignée avec le signal audio• syllabes alignées… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/Transcriptions_CID.
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FrancophonIA/MAPTASK-AIX
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FrancophonIA
|
Dataset origin: https://www.ortolang.fr/market/corpora/sldr000732
Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger les données.
Description
Un ensemble de dialogues français élicités avec le protocoloe MAPTASK.
Transcriptions orthographiques alignées au niveau de l'énoncé.
L'enregistrement et les transcriptions ont été réalisés dans le cadre de la bourse Marie-Curie de Corine Astésano (Dir. Ellen Gurman Bard & Alice Turk; Université… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/MAPTASK-AIX.
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FrancophonIA/Accueil_UBS
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FrancophonIA
|
Dataset origin: https://www.ortolang.fr/market/corpora/sldr000890
Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger les données.
Description
Le corpus Accueil_UBS est un corpus pilote de dialogue oral homme-homme finalisé correspondant à une tâche d’accueil téléphonique par le standard d’une université. Il a été enregistré en conditions réelles au sein de l’Université de Bretagne Sud et regroupe un ensemble de dialogues entre un(e)… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/Accueil_UBS.
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FrancophonIA/ACSYNT
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FrancophonIA
|
Dataset origin: https://www.ortolang.fr/market/corpora/sldr000832
Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger les données.
Description
Le corpus ACSYNT est un corpus oral du français contemporain qui contient 124 000 mots. Il est composé de trois types de données orales: de la lecture oralisée de texte (17 858 mots), des présentations monologuées (19 575 mots) et des entretiens guidés (86 584).
Les données ont été enregistrées auprès… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/ACSYNT.
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Nunatic/dream-layout-svg-dataset-v1
|
Nunatic
|
1016 images of Random Boxs Along Bézier Curves
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FrancophonIA/Institut_de_traducteurs
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FrancophonIA
|
Dataset origin: https://www.ortolang.fr/market/corpora/sldr000884
Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger les données.
Description
Rencontres entre des étudiants ou des futurs étudiants en traduction ou en interprétation et la responsable de la formation. Responsable de formation anglophone native, étudiants francophones natifs.
Utilisation
Autorisation d’utiliser ces données anonymisées à des fins de recherche… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/Institut_de_traducteurs.
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regicid/lemonde_ner_persons
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regicid
|
This repository lists, for each article published by Le Monde since its founding in December 1944 to July 2024, the persons named in the text, separated by semicolons (";"). It is simply the result of a spacy NER, with the "fr_core_news_md": we analyse the document, take all the entities with "PER" (person) as type, and take the text of the entity. We also extract the grammatical function (entityt.root.dep_) corresponding to the entities. The ambition was to maybe, in the future, look at… See the full description on the dataset page: https://huggingface.co/datasets/regicid/lemonde_ner_persons.
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navidmadani/extended_esc
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navidmadani
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Overview
The approach for creating this dataset is outlined in our paper Steering Conversational Large Language Models for Long Emotional Support Conversations.
This dataset specifically is generated using attention guided prompting on llama3-70b-instruct. We start from the original ESConv dataset and generate strategy conditioned
continuations at random points of the conversation. For example, we cut a conversation at 10th turn when it is the emotional supporters turn to answer… See the full description on the dataset page: https://huggingface.co/datasets/navidmadani/extended_esc.
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Gunther520/instruction-dataset-mini-with-generations
|
Gunther520
|
Dataset Card for instruction-dataset-mini-with-generations
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/Gunther520/instruction-dataset-mini-with-generations/raw/main/pipeline.yaml"
or explore the configuration:
distilabel… See the full description on the dataset page: https://huggingface.co/datasets/Gunther520/instruction-dataset-mini-with-generations.
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TrossenRoboticsCommunity/aloha_solo_lego
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TrossenRoboticsCommunity
|
This dataset was created using LeRobot.
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infinite-dataset-hub/HACHERnews-ML_AI_vs_Regular
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infinite-dataset-hub
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HACHERnews-ML_AI_vs_Regular
tags: Classification, NLP, AI
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'HACHERnews-ML_AI_vs_Regular' dataset comprises articles from the Hacker News platform that have been manually classified into two categories: posts related to Artificial Intelligence (AI) and Machine Learning (ML) versus posts about regular, non-technical topics. The classification aims to analyze the discussions… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/HACHERnews-ML_AI_vs_Regular.
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infinite-dataset-hub/MLConceptClassifier
|
infinite-dataset-hub
|
MLConceptClassifier
tags: machine learning, classification, hackernow
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'MLConceptClassifier' dataset is designed to assist an ML practitioner in training a model to differentiate between machine learning-related posts and regular, non-technical topics. The dataset comprises of text from HackerNews posts, with each entry being labeled according to its relevance to AI/ML… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/MLConceptClassifier.
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lnzdanese/final_countdown
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lnzdanese
|
This dataset was created using LeRobot.
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sergioestebance/koch_test1
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sergioestebance
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This dataset was created using LeRobot.
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xezpeleta/eitb_parcc_with_english
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xezpeleta
|
EITB-parcc English (10b)
The parallel corpus EITB-parcc has been (partially) translated from spanish to english using MADLAD400-10b
Size: 2000 sentences
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danijelkorzinek/PINC
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danijelkorzinek
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Polish Interpreting Corpus
The Polish Interpreting Corpus (PINC) is a hand-verified parallel speech corpus derived from the European Parliament recordings. The corpus was automatically pre-processed and subsequently
manually verified to correct the transcription, word-level speech-to-text alignment and sentence-level interlingual alignment. The audio quality is decent and the annotation is fairly accurate.
The corpus contains a set of 520 recordings of Polish-English speeches… See the full description on the dataset page: https://huggingface.co/datasets/danijelkorzinek/PINC.
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Mozilla/autofill-dataset
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Mozilla
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This dataset was generated using by annotating top websites in various locales using Fathom Plugin and cleaned.
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jmercat/koch_tri_mouse_1
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jmercat
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This dataset was created using LeRobot.
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Langue-des-signes-francaise/rosetta-lsf
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Langue-des-signes-francaise
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Dataset origin: https://www.ortolang.fr/market/corpora/rosetta-lsf
Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger les données.
Description
Le corpus Rosetta-LSF est un corpus de Langue des Signes Française (LSF) d'environ 3h, réalisé dans le cadre d'une collaboration entre les sociétés Systran, MocapLab et le laboratoire LISN au sein du projet ROSETTA . Il peut être utilisé par des membres de structures d'enseignement universitaire et… See the full description on the dataset page: https://huggingface.co/datasets/Langue-des-signes-francaise/rosetta-lsf.
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jonflynn/musicnet_jukebox_embeddings
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jonflynn
|
Jukebox Embeddings for MusicNet Dataset
Repo with Colab notebook used to extract the embeddings.
Overview
This dataset extends the MusicNet Dataset by providing embeddings for each audio file.
Original MusicNet Dataset
Link to original dataset
Jukebox Embeddings
Embeddings are derived from OpenAI's Jukebox model, following the approach described in Castellon et al. (2021) with some modifications followed in Spotify's Llark paper:… See the full description on the dataset page: https://huggingface.co/datasets/jonflynn/musicnet_jukebox_embeddings.
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Sakaji-Lab/JaFIn
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Sakaji-Lab
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For citation:
@preprint{tanabe2024-jafin,
title={{JaFIn: Japanese Financial Instruction Dataset}},
author={Kota Tanabe, Masahiro Suzuki, Hiroki Sakaji, Itsuki Noda},
year={2024},
doi={10.48550/arXiv.2404.09260},
}
License:
cc-by-nc-sa-4.0
|
Samibaral/ExampleData
|
Samibaral
|
This is an example dataset
|
labofsahil/aws-pricing-dataset
|
labofsahil
|
The following data is pulled from AWS official pricing API.
Contains all pricing data across AWS services
Source: https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/using-price-list-query-api.html
Update Frequency: Gets auto updated weekly
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FrancophonIA/Loup_garou
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FrancophonIA
|
Dataset origin: https://www.ortolang.fr/market/corpora/ortolang-000900 et https://www.ortolang.fr/market/corpora/ortolang-000908
Description
Enregistrements multipistes d’interactions entre joueurs du « Loup garou ». Étudiants en master LEX, cours corpus 1 (SCLQ41) le 7 octobre 2014, salle A003 du LPL. Vidéos caméra fixe plan large.Annotations des interactions entre joueurs du « Loup garou ». Étudiants en master LEX, cours corpus 1 (SCLQ41) le 7 octobre 2014.… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/Loup_garou.
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Theoreticallyhugo/Stab-Gurevych-Essays
|
Theoreticallyhugo
|
This dataset contains 402 argumentative essays from non-native
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d0rj/SemEval2024-task8
|
d0rj
|
SemEval2024-task8
Unofficial mirror of M4 dataset from mbzuai-nlp/SemEval2024-task8 (website, github, codabench).
Data Format
Subtask A
An object in the JSON format:
{
id -> identifier of the example,
label -> label (human text: 0, machine text: 1,),
text -> text generated by a machine or written by a human,
model -> model that generated the data,
source -> source (Wikipedia, Wikihow, Peerread, Reddit, Arxiv) on English or language… See the full description on the dataset page: https://huggingface.co/datasets/d0rj/SemEval2024-task8.
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StephanAkkerman/orthographic-similarity-ratings
|
StephanAkkerman
|
Orthographic similarity ratings for English-Spanish cognates from the academic word list
This dataset is derived from the paper "Orthographic similarity ratings for English-Spanish cognates from the academic word list" by Hout et al.
You can find there paper here and the original dataset here.
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StephanAkkerman/semantic-similarity
|
StephanAkkerman
|
English Word Semantic Similarity
This dataset is a combination of the following datasets.
Wordsim-353
Simlex-999
SimVerb-3500
The similarity score is scaled from 0 to 1, with 1 having the highest similarity.
|
LukeWais/RH-AITest
|
LukeWais
|
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]… See the full description on the dataset page: https://huggingface.co/datasets/LukeWais/RH-AITest.
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Langue-des-signes-francaise/CREAGEST_enfants
|
Langue-des-signes-francaise
|
Dataset origin: https://www.ortolang.fr/market/corpora/ortolang-000916
Description
Il s’agit d’un corpus de LSF enfantine recueilli auprès de 65 enfants sourds (bilingues LSF-Français) et 17 adultes sourds (50 heures), piloté par quatre enquêtrices sourdes de quatre régions de France différentes (4 stimuli, 2 caméras).
Les vidéos mises à disposition ici constituent une sous-partie du corpus global : 10 extraits filmés avec deux caméras (soit 20 fichiers).
Citation… See the full description on the dataset page: https://huggingface.co/datasets/Langue-des-signes-francaise/CREAGEST_enfants.
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Langue-des-signes-francaise/40-breves
|
Langue-des-signes-francaise
|
Dataset origin: https://www.ortolang.fr/market/corpora/40-breves
Description
Corpus parallèle français écrit // LSF // expressions AZee.
40 brèves journalistiques en français (2 à 3 lignes de texte), traduites chacune en LSF par trois traducteurs. 120 vidéos au total (~30 s par vidéo), montées en 2 vues synchronisées, face et profil. 120 expressions AZee, une pour chaque vidéo.
Citation
@misc{11403/40-breves/v3,
title = {40 brèves},
author = {LIMSI and… See the full description on the dataset page: https://huggingface.co/datasets/Langue-des-signes-francaise/40-breves.
|
orionweller/researchy-questions-b-only-low_level
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orionweller
|
This dataset variant includes the original query combined with individual subquestions from the GPT-4 decomposition.
Each query is duplicated multiple times, once for each subquestion, with modified IDs (e.g., original-id-sub-a).
|
orionweller/researchy-questions-b-only-header_groups
|
orionweller
|
This dataset variant includes the original query combined with each header and its associated subquestions.
Each query is duplicated for each header group, with modified IDs (e.g., original-id-group-1).
|
orionweller/researchy-questions-b-only-all
|
orionweller
|
This dataset variant combines the original query with all headers and subquestions from the GPT-4 decomposition.
Each query appears once with all decompositions combined, with modified IDs (e.g., original-id-full).
|
Langue-des-signes-francaise/MOCAP1
|
Langue-des-signes-francaise
|
Dataset origin: https://www.ortolang.fr/market/corpora/mocap1
Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger les données.
Description
MOCAP1 est un corpus de Langue des Signes Française (LSF) capturé avec un système de capture de mouvement et une caméra HD. Il peut être utilisé par les membres des structures d'enseignement universitaire et de recherche publiques.
Il a été conçu dans le but de réaliser des études multidisciplinaires en… See the full description on the dataset page: https://huggingface.co/datasets/Langue-des-signes-francaise/MOCAP1.
|
Langue-des-signes-francaise/DEGELS1
|
Langue-des-signes-francaise
|
Dataset origin: https://www.ortolang.fr/market/corpora/degels1
Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger les données.
Description
Le corpus DEGELS1 est un corpus vidéo comparable de dialogues en langue des signes française et en français oral (voix et gestes). Il peut être utilisé par des membres de structures d'enseignement universitaire et de recherche publiques.
Le thème des dialogues est la description d'itinéraires et de lieux… See the full description on the dataset page: https://huggingface.co/datasets/Langue-des-signes-francaise/DEGELS1.
|
Langue-des-signes-francaise/MEDIAPI-SKEL
|
Langue-des-signes-francaise
|
Dataset origin: https://www.ortolang.fr/market/corpora/mediapi-skel
Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger les données.
Description
MEDIAPI-SKEL est un corpus bilingue de Langue des Signes Française (LSF) sous forme de données de pose (coordonnées de points du squelette) et de Français sous forme de sous-titres. Il peut être utilisé pour la recherche académique.
Pour constituer ce corpus, nous avons utilisé 368 vidéos… See the full description on the dataset page: https://huggingface.co/datasets/Langue-des-signes-francaise/MEDIAPI-SKEL.
|
alvgaona/springer-sounds
|
alvgaona
|
Springer Sounds
This dataset is derived from the repository published by David Springer.
It comprises multiple phonocardiogram (PCG) signals, each sampled at a frequency of 1000 Hz.
Originally, the dataset was shared in MAT format to accompany the implementation of the article "Logistic Regression-HSMM-based Heart Sound Segmentation".
The current version represents a subset of the original data, focusing solely on the signal values and their corresponding pre-computed labels.… See the full description on the dataset page: https://huggingface.co/datasets/alvgaona/springer-sounds.
|
Langue-des-signes-francaise/Dicta-Sign-LSF-v2
|
Langue-des-signes-francaise
|
Dataset origin: https://www.ortolang.fr/market/corpora/dicta-sign-lsf-v2
Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger les données.
Description
Dicta-Sign-LSF-V2 est un corpus de dialogue de LSF de 8h environ. Il peut être utilisé par des membres de structures d'enseignement universitaire et de recherche publiques.
Il a été constitué durant le projet européen Dicta-Sign en 2010. Le thème du corpus était "Les voyages en Europe". Le même… See the full description on the dataset page: https://huggingface.co/datasets/Langue-des-signes-francaise/Dicta-Sign-LSF-v2.
|
Langue-des-signes-francaise/Mediapi-RGB
|
Langue-des-signes-francaise
|
Dataset origin: https://www.ortolang.fr/market/corpora/mediapi-rgb
Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger les données. Attention, le jeu de données fait plus de 125G !
Description
Mediapi-RGB est un corpus bilingue de Langue des Signes Française (LSF) et de français écrit sous forme de vidéos sous-titrées, accompagné de données complémentaires (diverses représentations, segmentation, vocabulaire, etc.). Il peut être utilisé pour… See the full description on the dataset page: https://huggingface.co/datasets/Langue-des-signes-francaise/Mediapi-RGB.
|
Langue-des-signes-francaise/corpus-catteau-2020
|
Langue-des-signes-francaise
|
Dataset origin: https://www.ortolang.fr/market/corpora/corpus-catteau-2020
Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger les données.
Description
Ce corpus contient onze œuvres poétiques en LSF (langue des signes française) et leurs cinquante-sept traductions en français oral. Les données ont été enregistrées dans le cadre de la recherche doctorale de Fanny Catteau (thèse soutenue en 2020) qui avait pour objet l’étude de la construction… See the full description on the dataset page: https://huggingface.co/datasets/Langue-des-signes-francaise/corpus-catteau-2020.
|
Langue-des-signes-francaise/signes-en-famille
|
Langue-des-signes-francaise
|
Dataset origin: https://www.ortolang.fr/market/corpora/signes-en-famille
Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger les données. Attention, le jeu de données fait plus de 210G !
Description
Le langage joue un rôle central dans le développement cognitif de l'enfant : les représentations du monde qu'il se construit sont façonnées par les interactions avec ses parents et la langue d'interaction. Dans le cas des enfants sourds, les… See the full description on the dataset page: https://huggingface.co/datasets/Langue-des-signes-francaise/signes-en-famille.
|
Langue-des-signes-francaise/CREAGEST_adultes
|
Langue-des-signes-francaise
|
Dataset origin: https://www.ortolang.fr/market/corpora/ortolang-000926
Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger les données. Attention, le jeu de données fait plus de 140G !
Description
Ces données constituent l'intégralité du corpus Creagest de dialogues entre adultes sourds en LSF (106 heures) : 51 entretiens, soit 305 fichiers, animés par quatre enquêteurs sourds de cinq régions de France différentes (entretiens semi-directifs… See the full description on the dataset page: https://huggingface.co/datasets/Langue-des-signes-francaise/CREAGEST_adultes.
|
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