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open-llm-leaderboard/LilRg__PRYMMAL-ECE-7B-SLERP-V7-details
|
open-llm-leaderboard
|
Dataset Card for Evaluation run of LilRg/PRYMMAL-ECE-7B-SLERP-V7
Dataset automatically created during the evaluation run of model LilRg/PRYMMAL-ECE-7B-SLERP-V7
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/LilRg__PRYMMAL-ECE-7B-SLERP-V7-details.
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reghor24/data-prueba
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reghor24
|
[INST] Me gradué hace poco de la carrera de medicina ¿Me podrías aconsejar para conseguir rápidamente un puesto de trabajo? [/INST] Esto vale tanto para médicos como para cualquier otra profesión tras finalizar los estudios aniversarios y mi consejo sería preguntar a cuántas personas haya conocido mejor. En este caso, mi primera opción sería hablar con otros profesionales médicos, echar currículos en hospitales y cualquier centro de salud. En paralelo, trabajaría por mejorar mi marca personal… See the full description on the dataset page: https://huggingface.co/datasets/reghor24/data-prueba.
|
bastiankrohg/moss_test
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bastiankrohg
|
This dataset was created using LeRobot.
|
aractingi/reach_cube_sim1
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aractingi
|
This dataset was created using LeRobot.
|
BrunoM42/moss_test_2
|
BrunoM42
|
This dataset was created using LeRobot.
|
0jl/NYUv2
|
0jl
|
The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft Kinect. It features:
* 1449 densely labeled pairs of aligned RGB and depth images
* 464 new scenes taken from 3 cities
* 407,024 new unlabeled frames
* Each object is labeled with a class and an instance number (cup1, cup2, cup3, etc)
This dataset is useful for various computer vision tasks, including depth estimation, semantic segmentation, and instance segmentation.
This Hugging Face version of the dataset is unofficial. It downloads the data from the original source and converts it to the Hugging Face format.
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hxyue1/theology_qa
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hxyue1
|
Dataset Card for "theology_qa"
More Information needed
|
roadz/solusdt_enhanced_180
|
roadz
|
SOLUSDT Raw Dataset
Dataset Summary
Raw minute-by-minute trading data for SOL/USDT pair from Binance exchange. The dataset covers 180 days of trading activity, providing comprehensive market data including price, volume, and trade information. This data is suitable for various financial analysis tasks, time series forecasting, and market research.
Supported Tasks
Time Series Forecasting
Price Prediction
Market Analysis
Trading Strategy Development… See the full description on the dataset page: https://huggingface.co/datasets/roadz/solusdt_enhanced_180.
|
SKIML-ICL/mrqa_nq_v3
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SKIML-ICL
|
단순 작업
1. SKIML-ICL/mrqa_with_conflict_and_retrieved을 베이스 삼음
2. 여기서 nq만 필터링하고, label값, masked query, query embedding 등을 삭제함.
3. 검색된 문서들을 담고있는 칼럼을 내가 임의로 docs라고 이름붙였는데, 원래 이름(ctxs)으로 바꿈.
검증 데이터셋 중 원래 테스트셋이었던 것 제거 및 트레인셋에서 추가로 떼서 가져오기
4. 검증 데이터셋 중 SKIML-ICL/nq_retrieve의 test셋과 질문이 다른 녀석들만 남겨둠. (그래서 남은 게 90개)
4. train_test_split(test_size=0.066, seed=42)
을 통해서 기존 트레인셋을 나눔. 나눠진 검증셋은 1418개이며, 여기에 기존 검증셋 90개를 더해 1508개를 총 검증셋으로 설정.
케이스 검색해오기
1. 이후 기존 case_retrieval.py 코드를 활용해 케이스를 검색해옴.
|
TobyYang7/UCFE
|
TobyYang7
|
UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models
The UCFE Benchmark provides a user-centric framework for evaluating the performance of large language models (LLMs) in complex financial tasks. The complete benchmark dataset is available in UCFE_bench.json.
|
open-llm-leaderboard/LilRg__PRYMMAL-ECE-7B-SLERP-V6-details
|
open-llm-leaderboard
|
Dataset Card for Evaluation run of LilRg/PRYMMAL-ECE-7B-SLERP-V6
Dataset automatically created during the evaluation run of model LilRg/PRYMMAL-ECE-7B-SLERP-V6
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/LilRg__PRYMMAL-ECE-7B-SLERP-V6-details.
|
dogtooth/off-policy-0.1-with-on-policy-0.1-iter1_generated_helpsteer2_binarized_1729972305
|
dogtooth
|
allenai/open_instruct: Generation Dataset
See https://github.com/allenai/open-instruct/blob/main/docs/algorithms/rejection_sampling.md for more detail
Configs
args:
{'add_timestamp': True,
'alpaca_eval': False,
'dataset_end_idx': 8636,
'dataset_mixer_list': ['dogtooth/helpsteer2_binarized', '1.0'],
'dataset_splits': ['train'],
'dataset_start_idx': 0,
'hf_entity': 'dogtooth',
'hf_repo_id':… See the full description on the dataset page: https://huggingface.co/datasets/dogtooth/off-policy-0.1-with-on-policy-0.1-iter1_generated_helpsteer2_binarized_1729972305.
|
self-generate/iter_exp_ds_chat_regular_original_cn_mining_oj_iter0-binarized
|
self-generate
|
Dataset Card for "iter_exp_ds_chat_regular_original_cn_mining_oj_iter0-binarized"
More Information needed
|
self-generate/iter_exp_ds_chat_regular_original_cn_mining_oj_iter0-full_response_traceback
|
self-generate
|
Dataset Card for "iter_exp_ds_chat_regular_original_cn_mining_oj_iter0-full_response_traceback"
More Information needed
|
self-generate/iter_exp_ds_chat_regular_original_cn_mining_oj_iter0-binarized_all_pairs
|
self-generate
|
Dataset Card for "iter_exp_ds_chat_regular_original_cn_mining_oj_iter0-binarized_all_pairs"
More Information needed
|
FrancophonIA/FalseFriendsLexicon
|
FrancophonIA
|
Dataset origin: https://lrec2020.lrec-conf.org/sharedlrs2020/180_res_1.zip
Description
This lexicon of false friends pairs in 6 languages, includes for each language pair automatically detected pairs of false friends along with a score of falseness.
Citation
@inproceedings{uban-dinu-2020-automatically,
title = "Automatically Building a Multilingual Lexicon of False {F}riends With No Supervision",
author = "Uban, Ana Sabina and
Dinu, Liviu P."… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/FalseFriendsLexicon.
|
FrancophonIA/Cognate_Pairs
|
FrancophonIA
|
Dataset origin: https://lrec2020.lrec-conf.org/sharedlrs2020/367_res_1.zip
Description
This resource contains a context-independent gold standard for English-Dutch and French-Dutch cognate detection. To this end, automatic word alignment was applied on the Dutch Parallel Corpus, and all term equivalents with a Normalized Levenshtein distance smaller than 0.5 were extracted. This resulted in a list with 28,503 English-Dutch candidate cognate pairs, and 22,715 French-Dutch… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/Cognate_Pairs.
|
FrancophonIA/English-French_Cognates
|
FrancophonIA
|
Dataset origin: https://lrec2020.lrec-conf.org/sharedlrs2020/584_res_1.txt
Description
This is a new database for computational approaches of synchronized diachronic investigation of language pairs, and subsequent novel findings stemming from the cognates temporal comparison of the two chosen languages. The present study is the first in the literature to use computational approaches and large data to make a cross-language temporal analysis. Taken and computed from google… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/English-French_Cognates.
|
FrancophonIA/CEFRLex
|
FrancophonIA
|
Dataset origin: https://pub.cl.uzh.ch/wiki/public/multiCEFRLex
Description
List of bilingual and trilingual matches with conditional translation probabilities.
Citation
@InProceedings{GraenAlfterSchneider2020,
author = {Gra\"{e}n, Johannes and Alfter, David and Schneider, Gerold},
title = {Using Multilingual Resources to Evaluate CEFRLex for Learner Applications},
booktitle = {Proceedings of the 12th Language Resources and… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/CEFRLex.
|
FrancophonIA/FLELex
|
FrancophonIA
|
Dataset origin: https://cental.uclouvain.be/cefrlex/flelex/download/
Citation
@inproceedings{francois-etal-2014-flelex,
title = "{FLEL}ex: a graded lexical resource for {F}rench foreign learners",
author = "Fran{\c{c}}ois, Thomas and
Gala, N{\`u}ria and
Watrin, Patrick and
Fairon, C{\'e}drick",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/FLELex.
|
FrancophonIA/Rigor-Mortis
|
FrancophonIA
|
Dataset origin: https://github.com/gwaps4nlp/rigor-mortis/tree/master/LREC_2020
Description
This page presents the annotated data described in the paper Rigor Mortis:Annotating MWEs with a Gamified Platform presented at LREC 2020 in Marseille.
The annotation are described in two files:
RigorMortis_game_annotation.txt with the 504 sentences of the Annotation part
RigorMortis_bonus_annotation.txt with the 743 sentences of the Bonus Annotation part
The annotations are presented… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/Rigor-Mortis.
|
robotcompanyone/koch_rag_fold_v2
|
robotcompanyone
|
This dataset was created using 🤗 LeRobot.
|
1g0rrr/koch_test21
|
1g0rrr
|
This dataset was created using LeRobot.
|
1g0rrr/koch_test25
|
1g0rrr
|
This dataset was created using LeRobot.
|
lunaopenlabs/LunaAi-dataset
|
lunaopenlabs
|
Customer Feedback Sentiment Dataset
This dataset contains customer feedback comments classified by sentiment. Each comment is labeled as either positive (1) or negative (0).
Dataset Overview
Number of Samples: 1000
Categories:
Positive (1): Comments expressing satisfaction or approval.
Negative (0): Comments expressing dissatisfaction or disapproval.
Format
The dataset is in CSV format with the following columns:
comment: The text of the… See the full description on the dataset page: https://huggingface.co/datasets/lunaopenlabs/LunaAi-dataset.
|
1g0rrr/koch_test256
|
1g0rrr
|
This dataset was created using LeRobot.
|
1g0rrr/koch_test211
|
1g0rrr
|
This dataset was created using LeRobot.
|
volcanoflash/koch_test
|
volcanoflash
|
This dataset was created using LeRobot.
|
lparkourer10/minecraft-wiki
|
lparkourer10
|
This dataset was made by scrapping the entire minecraft wiki using this
script.
|
self-generate/iter_exp_no_mask_ds_chat_regular_adamw_iter1_sppo_hard_new_cn_mining_oj_iter1-binarized
|
self-generate
|
Dataset Card for "iter_exp_no_mask_ds_chat_regular_adamw_iter1_sppo_hard_new_cn_mining_oj_iter1-binarized"
More Information needed
|
open-llm-leaderboard/sam-paech__Darkest-muse-v1-details
|
open-llm-leaderboard
|
Dataset Card for Evaluation run of sam-paech/Darkest-muse-v1
Dataset automatically created during the evaluation run of model sam-paech/Darkest-muse-v1
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/sam-paech__Darkest-muse-v1-details.
|
self-generate/iter_exp_no_mask_ds_chat_regular_adamw_iter2_sppo_hard_new_cn_mining_oj_iter2-binarized
|
self-generate
|
Dataset Card for "iter_exp_no_mask_ds_chat_regular_adamw_iter2_sppo_hard_new_cn_mining_oj_iter2-binarized"
More Information needed
|
dogtooth/off-policy-0.1-with-on-policy-0.1-iter1_generated_helpsteer2_binarized_1729993939
|
dogtooth
|
allenai/open_instruct: Generation Dataset
See https://github.com/allenai/open-instruct/blob/main/docs/algorithms/rejection_sampling.md for more detail
Configs
args:
{'add_timestamp': True,
'alpaca_eval': False,
'dataset_end_idx': 8636,
'dataset_mixer_list': ['dogtooth/helpsteer2_binarized', '1.0'],
'dataset_splits': ['train'],
'dataset_start_idx': 0,
'hf_entity': 'dogtooth',
'hf_repo_id':… See the full description on the dataset page: https://huggingface.co/datasets/dogtooth/off-policy-0.1-with-on-policy-0.1-iter1_generated_helpsteer2_binarized_1729993939.
|
dogtooth/off-policy-0.1-with-on-policy-0.1-iter2_generated_helpsteer2_binarized_1729994180
|
dogtooth
|
allenai/open_instruct: Generation Dataset
See https://github.com/allenai/open-instruct/blob/main/docs/algorithms/rejection_sampling.md for more detail
Configs
args:
{'add_timestamp': True,
'alpaca_eval': False,
'dataset_end_idx': 8636,
'dataset_mixer_list': ['dogtooth/helpsteer2_binarized', '1.0'],
'dataset_splits': ['train'],
'dataset_start_idx': 0,
'hf_entity': 'dogtooth',
'hf_repo_id':… See the full description on the dataset page: https://huggingface.co/datasets/dogtooth/off-policy-0.1-with-on-policy-0.1-iter2_generated_helpsteer2_binarized_1729994180.
|
open-llm-leaderboard/sam-paech__Quill-v1-details
|
open-llm-leaderboard
|
Dataset Card for Evaluation run of sam-paech/Quill-v1
Dataset automatically created during the evaluation run of model sam-paech/Quill-v1
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 additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/sam-paech__Quill-v1-details.
|
cjfcsjt/142_aitw_sft_fbc_2b
|
cjfcsjt
|
aitw_sft_fbc
This model is a fine-tuned version of /mnt/nvme0n1p1/hongxin_li/jingfan/LLaMA-Factory/models/qwen2_vl_lora_sft_aitw_all_2b on the vl_sft_data_aitw dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during… See the full description on the dataset page: https://huggingface.co/datasets/cjfcsjt/142_aitw_sft_fbc_2b.
|
1g0rrr/paper_painting
|
1g0rrr
|
This dataset was created using LeRobot.
|
open-llm-leaderboard/sam-paech__Delirium-v1-details
|
open-llm-leaderboard
|
Dataset Card for Evaluation run of sam-paech/Delirium-v1
Dataset automatically created during the evaluation run of model sam-paech/Delirium-v1
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 additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/sam-paech__Delirium-v1-details.
|
open-llm-leaderboard/TheDrummer__Cydonia-22B-v1.2-details
|
open-llm-leaderboard
|
Dataset Card for Evaluation run of TheDrummer/Cydonia-22B-v1.2
Dataset automatically created during the evaluation run of model TheDrummer/Cydonia-22B-v1.2
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/TheDrummer__Cydonia-22B-v1.2-details.
|
self-generate/iter_exp_no_mask_ds_chat_regular_adamw_iter3_sppo_hard_new_cn_mining_oj_iter3-binarized
|
self-generate
|
Dataset Card for "iter_exp_no_mask_ds_chat_regular_adamw_iter3_sppo_hard_new_cn_mining_oj_iter3-binarized"
More Information needed
|
Mineru/glaive-function-calling-v2-ko-cleaned
|
Mineru
|
Original Dataset: heegyu/glaive-function-calling-v2-ko
nayohan/llama3-instrucTrans-enko-8b 모델을 gguf로 4bit 양자화 한 모델로 추론 변역함.
function_description 필드의 description, properties 부분만 한글로 번역하여 데이터셋을 정재함.
Ollama Modelfile Format:
FROM nayohan/llama3-instrucTrans-enko-8b
SYSTEM 당신은 번역기 입니다. 영어를 한국어로 번역하세요.
TEMPLATE """{{ if .System }}<|start_header_id|>system<|end_header_id|>
{{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>
{{ .Prompt }}<|eot_id|>{{ end… See the full description on the dataset page: https://huggingface.co/datasets/Mineru/glaive-function-calling-v2-ko-cleaned.
|
open-llm-leaderboard/LilRg__PRYMMAL-ECE-7B-SLERP-V4-details
|
open-llm-leaderboard
|
Dataset Card for Evaluation run of LilRg/PRYMMAL-ECE-7B-SLERP-V4
Dataset automatically created during the evaluation run of model LilRg/PRYMMAL-ECE-7B-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 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/LilRg__PRYMMAL-ECE-7B-SLERP-V4-details.
|
open-llm-leaderboard/LilRg__PRYMMAL-ECE-7B-SLERP-V5-details
|
open-llm-leaderboard
|
Dataset Card for Evaluation run of LilRg/PRYMMAL-ECE-7B-SLERP-V5
Dataset automatically created during the evaluation run of model LilRg/PRYMMAL-ECE-7B-SLERP-V5
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/LilRg__PRYMMAL-ECE-7B-SLERP-V5-details.
|
NM-development/chechen_male_given_names
|
NM-development
|
This dataset contains Chechen male given names.
|
NM-development/chechen_female_given_names
|
NM-development
|
This dataset contains Chechen female given names.
|
NM-development/chechen_given_names
|
NM-development
|
This dataset contains Chechen given names.
|
Alexisbo/moss_test
|
Alexisbo
|
This dataset was created using LeRobot.
|
Alexisbo/moss_test2
|
Alexisbo
|
This dataset was created using LeRobot.
|
BrunoM42/eval_act_moss_test
|
BrunoM42
|
This dataset was created using LeRobot.
|
yleo/moss-test
|
yleo
|
This dataset was created using LeRobot.
|
bastiankrohg/moss_grid
|
bastiankrohg
|
This dataset was created using LeRobot.
|
yleo/moss_test
|
yleo
|
This dataset was created using LeRobot.
|
Zack49/moss_test
|
Zack49
|
This dataset was created using LeRobot.
|
Alexisbo/moss_test3
|
Alexisbo
|
This dataset was created using LeRobot.
|
vmayoral/u850_test
|
vmayoral
|
This dataset was created using LeRobot.
|
MoMe3600/moss_test
|
MoMe3600
|
This dataset was created using LeRobot.
|
Zack49/moss_test2
|
Zack49
|
This dataset was created using LeRobot.
|
yleo/moss_hackhathon
|
yleo
|
This dataset was created using LeRobot.
|
pravsels/PushCubeLoopSimTest
|
pravsels
|
This dataset was created using LeRobot.
|
jtz18/biblenlp-corpus
|
jtz18
|
Dataset Card for BibleNLP Corpus
Dataset Summary
Partial and complete Bible translations in 833 languages, aligned by verse.
Languages
aai, aak, aau, aaz, abt, abx, aby, acf, acr, acu, adz, aer, aey, agd, agg, agm, agn, agr, agt, agu, aia, aii, aka, ake, alp, alq, als, aly, ame, amf, amk, amm, amn, amo, amp, amr, amu, amx, anh, anv, aoi, aoj, aom, aon, apb, ape, apn, apr, apu, apw, apz, arb, are, arl, arn, arp, asm, aso, ata, atb, atd, atg, att, auc… See the full description on the dataset page: https://huggingface.co/datasets/jtz18/biblenlp-corpus.
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sepiatone/ai4bharat-indicqa-ml-202410
|
sepiatone
|
Description: This dataset is prepared from the Indic QA dataset created by ai4bharat. This dataset contains only the Hindi question answering part of the original dataset.
Dataset Info: Each entry in the dataset is a 'context', a passage providing information, followed by a series of 'questions' and 'answers'
Prepared by @sepiatone for the purpose of instruction (non-commercial)
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pravsels/PushCubeLoopSim_5eps
|
pravsels
|
This dataset was created using LeRobot.
|
Zack49/imitation_data5
|
Zack49
|
This dataset was created using LeRobot.
|
Alexisbo/moss_test4
|
Alexisbo
|
This dataset was created using LeRobot.
|
pravsels/PushCubeLoopSim_10eps
|
pravsels
|
This dataset was created using LeRobot.
|
hariharan20/koch_test
|
hariharan20
|
This dataset was created using LeRobot.
|
villekuosmanen/moss_test
|
villekuosmanen
|
This dataset was created using LeRobot.
|
BrunoM42/moss_cube_cup
|
BrunoM42
|
This dataset was created using LeRobot.
|
Alexisbo/eval_act_moss_test
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Alexisbo
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This dataset was created using LeRobot.
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BaiqiL/NaturalBench-lmms-eval
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BaiqiL
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(NeurIPS24) NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
Baiqi Li1*, Zhiqiu Lin1*, Wenxuan Peng1*, Jean de Dieu Nyandwi1*, Daniel Jiang1, Zixian Ma2, Simran Khanuja1, Ranjay Krishna2†, Graham Neubig1†, Deva Ramanan1†.
1Carnegie Mellon University, 2University of Washington
Links:
| 🏠Home Page | 🤗HuggingFace | 🏆Leaderboard | 📖Paper | 🖥️ Code
Citation Information
@inproceedings{naturalbench… See the full description on the dataset page: https://huggingface.co/datasets/BaiqiL/NaturalBench-lmms-eval.
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cauaveiga/moss_test
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cauaveiga
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This dataset was created using LeRobot.
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open-llm-leaderboard/Etherll__SuperHermes-details
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open-llm-leaderboard
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Dataset Card for Evaluation run of Etherll/SuperHermes
Dataset automatically created during the evaluation run of model Etherll/SuperHermes
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 additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Etherll__SuperHermes-details.
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cauaveiga/moss_test_1
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cauaveiga
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This dataset was created using LeRobot.
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open-llm-leaderboard/sethuiyer__Qwen2.5-7B-Anvita-details
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open-llm-leaderboard
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Dataset Card for Evaluation run of sethuiyer/Qwen2.5-7B-Anvita
Dataset automatically created during the evaluation run of model sethuiyer/Qwen2.5-7B-Anvita
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/sethuiyer__Qwen2.5-7B-Anvita-details.
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vjardimb/moss_test
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vjardimb
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This dataset was created using LeRobot.
|
FartLabs/FourTaste
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FartLabs
|
From https://github.com/lorenzopallante/VirtuousMultiTaste/tree/main
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Zack49/imitation_data6
|
Zack49
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This dataset was created using LeRobot.
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BrunoM42/eval_act_moss_cube_cup_4
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BrunoM42
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This dataset was created using LeRobot.
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ma3oun/moss_empile
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ma3oun
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This dataset was created using LeRobot.
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aractingi/push_cube_loop_sim
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aractingi
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This dataset was created using LeRobot.
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vjardimb/moss_imitation_learning
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vjardimb
|
This dataset was created using LeRobot.
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yearemias/koch_toy_picker
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yearemias
|
This dataset was created using LeRobot.
|
BrunoM42/eval_act_moss_cube_cup_4-40000
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BrunoM42
|
This dataset was created using LeRobot.
|
ctu-aic/questions_ujc_cas_cs
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ctu-aic
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Dataset Card for Dotazy of Institute of the Czech Language of the Czech Academy of Sciences (questions_ujc_cas_cs)
This is a dataset scraped from the webpage https://dotazy.ujc.cas.cz/ mantained by the Instute of the Czech Language of the Academy of Sciences of the Czech Republic.
Dataset Details
Dataset Description
This is a dataset scraped from the webpage https://dotazy.ujc.cas.cz/ mantained by the Instute of the Czech Language of the Academy… See the full description on the dataset page: https://huggingface.co/datasets/ctu-aic/questions_ujc_cas_cs.
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open-llm-leaderboard/ymcki__gemma-2-2b-jpn-it-abliterated-17-ORPO-alpaca-details
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open-llm-leaderboard
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Dataset Card for Evaluation run of ymcki/gemma-2-2b-jpn-it-abliterated-17-ORPO-alpaca
Dataset automatically created during the evaluation run of model ymcki/gemma-2-2b-jpn-it-abliterated-17-ORPO-alpaca
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"… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/ymcki__gemma-2-2b-jpn-it-abliterated-17-ORPO-alpaca-details.
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takuzennn/sort_obj
|
takuzennn
|
This dataset was created using LeRobot.
|
yleo/moss_cube_stacking
|
yleo
|
This dataset was created using LeRobot.
|
Zack49/eval_act_moss
|
Zack49
|
This dataset was created using LeRobot.
|
Zack49/eval_act_moss2
|
Zack49
|
This dataset was created using LeRobot.
|
lngo22/moss_test
|
lngo22
|
This dataset was created using LeRobot.
|
Zack49/eval_act_moss5
|
Zack49
|
This dataset was created using LeRobot.
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Zack49/eval_act_moss6
|
Zack49
|
This dataset was created using LeRobot.
|
ilovehentai9000/The-F95ZonE
|
ilovehentai9000
|
Dataset Card for The F95Zone
Excepts from a certain well known site.
F95 Zone is something of an enigma in the world of online pornography. The first-time viewer will probably have no fucking idea what this forum is all about.
It’s about sex, but that’s the only clear thing.
A Google search for mentions of the site brings up a couple hundred thousand results, but none of them bring you much closer to understanding.
What the fuck is F95 Zone?
Despite its steep… See the full description on the dataset page: https://huggingface.co/datasets/ilovehentai9000/The-F95ZonE.
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aliberts/ned2_test
|
aliberts
|
This dataset was created using LeRobot.
|
kodinD/lego_figure
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kodinD
|
Lego figure
|
Zack49/eval_act_moss50_1
|
Zack49
|
This dataset was created using LeRobot.
|
Chuanyang-Jin/MMToM-QA
|
Chuanyang-Jin
|
MMToM-QA is the first multimodal benchmark to evaluate machine Theory of Mind (ToM), the ability to understand people's minds. It is introduced in the paper MMToM-QA: Multimodal Theory of Mind Question Answering (Outstanding Paper Award at ACL 2024).
MMToM-QA systematically evaluates the cognitive ability to understand people's minds both on multimodal data and different unimodal data. MMToM-QA consists of 600 questions. The questions are categorized into seven types, evaluating belief… See the full description on the dataset page: https://huggingface.co/datasets/Chuanyang-Jin/MMToM-QA.
|
KarinaH/fine-tuning-llm
|
KarinaH
|
Dataset Card for fine-tuning-llm
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/KarinaH/fine-tuning-llm/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/KarinaH/fine-tuning-llm.
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antcassan4/iabd
|
antcassan4
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Extraído de https://github.com/anthony-wang/BestPractices/tree/master/data.
Campos:
Formula (string)
T (float64): Temperatura (K)
CP (float64): Capacidad calorífica (J/mol K)
|
lnzdanese/eval_koch_test
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lnzdanese
|
This dataset was created using LeRobot.
|
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