datasetId stringlengths 6 123 | predicted_domain stringclasses 10
values | confidence float64 0.14 1 | top2_label stringclasses 10
values | top2_score float64 0 0.5 | tag_domain stringclasses 9
values | existing_tags listlengths 0 190 | card_preview stringlengths 0 500 | card_length int64 0 25.3M | downloads int64 0 2.75M | category stringclasses 4
values |
|---|---|---|---|---|---|---|---|---|---|---|
simonycl/llama-3.3-70b-ultrainteract-filtered | none | 0.3214 | climate | 0.2743 | null | [] | 0 | 4 | normal | |
monurcan/example_synthetic_dataset | chemistry | 0.4906 | none | 0.2366 | null | [] | 0 | 12 | normal | |
DCAgent2/DCAgent2_evoeval_Qwen_Qwen3-Coder-30B-A3B-Instruct_20251201_154103 | none | 0.8536 | code | 0.0655 | null | [] | 0 | 8 | normal | |
Mudi12137/square-effusion | none | 0.5252 | chemistry | 0.0981 | null | [] | 0 | 4 | normal | |
MangoGoes/douban_movie_info | none | 0.9761 | finance | 0.0069 | null | [] | 该数据集为豆瓣电影信息维表。
更多信息请参考文章[《数据获取：豆瓣电影信息爬取》](http://t.csdnimg.cn/xyMFT)。 | 69 | 15 | normal |
nhorner/record-test | none | 0.9034 | code | 0.0916 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 2,943 | 4 | normal |
SoheylM/CAD-experiment-manifests-seed42-vision-qwen3vl32b-coderprompts-v1 | none | 0.5724 | code | 0.3796 | null | [] | 0 | 35 | normal | |
Ashima/qwen3_0.6b_learning_on_the_fly_Mar17-1938_blended | none | 0.843 | code | 0.1003 | null | [] | 0 | 9 | normal | |
karantonis/test_minerva_math | none | 0.5422 | chemistry | 0.1266 | null | [] | 0 | 9 | normal | |
turing552/pokemoncards-vlm-multimodal | none | 0.6451 | code | 0.1375 | null | [] | 0 | 6 | normal | |
Sengankou/eval_T1-k3-mix-instRight-ckpt002000-retry | none | 0.9167 | code | 0.0779 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,584 | 12 | normal |
mlnomad/imnet1k_hammer | none | 0.5765 | code | 0.1227 | null | [] | 0 | 7 | normal | |
HAERAE-HUB/HAERAE-VISION | none | 0.7427 | code | 0.1363 | null | [
"korean",
"vision-language",
"multimodal",
"vlm",
"under-specified"
] | # HAERAE-VISION
A Korean visual QA benchmark featuring real-world, under-specified questions.
## Dataset Description
This dataset includes **two question types**:
- **original**: Under-specified, authentic user queries
- **explicit**: Clarified queries with full context
Both share the same images and reference ans... | 1,606 | 56 | normal |
vklinhhh/vnondb_sentence_by_words | none | 0.6062 | chemistry | 0.1169 | null | [] | 0 | 4 | normal | |
selimfirat/bilkent-turkish-writings-dataset | none | 0.9838 | finance | 0.006 | null | [
"turkish",
"creative-writing",
"educational",
"nlp",
"corpus",
"bilkent-university"
] | # Compilation of Bilkent Turkish Writings Dataset
## Dataset Description
This is a comprehensive compilation of Turkish creative writings from Bilkent University's Turkish 101 and Turkish 102 courses (2014-2025). The dataset contains **9119 student writings** originally created by students and instructors, focusing o... | 3,954 | 99 | normal |
zjhhhh/iter2_7b_multi_scores_base_0 | none | 0.8203 | climate | 0.0432 | null | [] | 0 | 4 | normal | |
ShihteSiao/WanTopic-ENdaata | none | 0.3491 | code | 0.1362 | null | [] | 0 | 4 | normal | |
TAUR-dev/D-EVAL__standard_eval_v3__sample_bf_test_20250820_093445-single_sample_test | none | 0.7891 | code | 0.1178 | null | [] | 0 | 4 | normal | |
wilzzzz/test_upload_2 | none | 0.4179 | code | 0.2115 | null | [] | 0 | 11 | normal | |
anirudhb11/R1-1.5b-Par-Temp-0.7-Ans-40-16384-s-42-deg-64-path-3-n-16000-s-5900-e-6000 | none | 0.9559 | code | 0.0291 | null | [] | 0 | 4 | normal | |
Asap7772/review_eval_4shot | none | 0.5049 | climate | 0.1847 | null | [] | 0 | 3 | normal | |
Lichang-Chen/downsampled_mmlu_pro_voice | none | 0.7012 | climate | 0.0556 | null | [] | 0 | 5 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_2845198c-9632-4ae2-a5d8-a7e18dfb8706 | none | 0.6135 | code | 0.1764 | null | [] | 0 | 4 | normal | |
charliemeyer2000/leandojo_benchmark_lean4_17_0 | none | 0.7278 | code | 0.1175 | null | [] | 0 | 15 | normal | |
huyhuy123/ViLQA | legal | 0.9955 | none | 0.0029 | null | [] | # ViLQA Dataset - Vietnamese Legal Question Answering Dataset
This dataset contains questions and answers related to legal documents and regulations in Vietnam as of August 2024, designed for research and development of Legal Question Answering (LQA) systems. It is particularly valuable for evaluating language models ... | 2,391 | 27 | new_discovery |
premio-ai/TheArabicPile_Dialects | none | 0.9719 | code | 0.0204 | null | [] | # The Arabic Pile
## Introduction:
The Arabic Pile is a comprehensive dataset meticulously designed to parallel the structure of The Pile and The Nordic Pile. Focused on the Arabic language, the dat... | 6,062 | 12 | normal |
zjhhhh/iter2_7b_min_scores_base_0 | none | 0.7836 | code | 0.0545 | null | [] | 0 | 3 | normal | |
KozMi/0bd13922-2d7d-4082-8b1f-b45ea69bff3f_training_20251123174817 | none | 0.9317 | cybersecurity | 0.0578 | null | [
"lora",
"training",
"wan-2.2"
] | # CLI Real Character - WAN 2.2 1763920066 - LoRA Training Dataset
Training dataset for CLI Real Character - WAN 2.2 1763920066 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: CLI Real Character - WAN 2.2 1763920066
- **Trigger Word**: `cli_real_wan_1763920066_1763920066_trigger`
- **ZIP Siz... | 947 | 6 | normal |
R0bfried/RAGAS-BASE-phi4-eval | none | 0.3827 | climate | 0.3565 | null | [] | 0 | 5 | normal | |
ankitkushwaha90/sanskrit_dataset | none | 0.9688 | math | 0.0098 | code | [
"code"
] | # Dataset Card for Sanskrit Classic Corpus
## Dataset Description
### Dataset Summary
The **Sanskrit Classic Corpus** is a curated collection of classical Sanskrit texts sourced from ancient Indian literature, including epics, philosophical treatises, and poetic works. This dataset is designed to support natural lang... | 5,277 | 6 | tag_disagree |
GenIRAG/PER-PSE | biology | 0.4475 | none | 0.2787 | null | [] | 0 | 210 | normal | |
french-datasets/Mathlesage_evoprompt-pairs-lot_asm_876933 | math | 0.4936 | none | 0.4615 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [Mathlesage/evoprompt-pairs-lot_asm_876933](https://huggingface.co/datasets/Mathlesage/evoprompt-pairs-lot_asm_876933). | 207 | 4 | boundary |
LouisSh306/Kalb | none | 0.2652 | chemistry | 0.2015 | null | [] | 0 | 4 | normal | |
jaishah2808/speech-to-text | none | 0.9366 | finance | 0.0334 | null | [] | # My Audio Dataset
This dataset contains audio recordings with corresponding transcriptions and metadata.
## Columns
- `audio`: Audio files (WAV format).
- `text`: Transcription of the audio.
- `category`: Category of the audio (if applicable).
- `duration`: Duration of the audio in seconds.
## Usage
Load the dataset... | 447 | 6 | normal |
KomeijiForce/Cuckoo_C4_Rainbow | none | 0.9361 | code | 0.059 | null | [] | # Cuckoo 🐦 [[Github]](https://github.com/KomeijiForce/Cuckoo)
[Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM's Nest](https://huggingface.co/papers/2502.11275) is a small (300M) information extraction (IE) model that imitates the next token prediction paradigm of large language models. Instead of retrie... | 13,257 | 17 | normal |
sdg9434/Test27_TunerOnOff | none | 0.7534 | code | 0.2185 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # Test27_TunerOnOff
**This dataset was generated using [phosphobot](https://docs.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot.
To get started in robotics, [g... | 382 | 7 | normal |
jerome-white/leaderboard-documents-ifeval | none | 0.8965 | code | 0.0597 | null | [] | 0 | 5 | normal | |
french-open-data/stations-velo-v-de-la-metropole-de-lyon-disponibilites-temps-reel | none | 0.5798 | cybersecurity | 0.4051 | null | [
"dataset_for_agent"
] | # Stations Vélo'v de la Métropole de Lyon - disponibilités temps réel
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Stations Vélo'v de la Métropole de Lyon - disponibilités temps réel** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5... | 845 | 6 | normal |
ZixuanKe/cfa_extracted_exercise_sup_sample_from_policy_v1_1_rpo_stepwise_iter_1_stepwise_dpo_chunk_20 | none | 0.9055 | medical | 0.0402 | null | [] | 0 | 4 | normal | |
dasgringuen/assettoCorsaGym | none | 0.9908 | code | 0.0052 | null | [
"RL",
"MBRL",
"autonomous driving",
"racing",
"MPC"
] | # Dataset Card for Assetto Corsa Gym
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-... | 4,961 | 241 | normal |
reasoning-proj/c_dfiltered_science_DeepSeek-R1-Distill-Qwen-32B_mneutral_add_random_text_t90 | none | 0.8622 | chemistry | 0.0415 | null | [] | 0 | 4 | normal | |
ScalerLab/JudgeBench | none | 0.5147 | code | 0.4198 | null | [] | # JudgeBench: A Benchmark for Evaluating LLM-Based Judges
📃 [[Paper]](https://arxiv.org/abs/2410.12784) • 💻 [[Github]](https://github.com/ScalerLab/JudgeBench) • 🤗 [[Dataset]](https://huggingface.co/datasets/ScalerLab/JudgeBench) • 🏆 [[Leaderboard]](https://huggingface.co/spaces/ScalerLab/JudgeBench)
JudgeBench is... | 2,587 | 2,247 | normal |
serenalyoko/Moltbook | cybersecurity | 0.5602 | none | 0.4249 | null | [] | # Moltbook Dataset with Annotations
**[Project Page](https://moltbookobserve.github.io/)**
This is the **annotated dataset** of over 40K posts collected from [Moltbook](https://www.moltbook.com/) presented in paper ["Humans welcome to observe": A First Look at the Agent Social Network Moltbook](https://moltbookobserv... | 2,427 | 10 | boundary |
aizenSosuke/merged_dataset_final | none | 0.608 | climate | 0.1185 | null | [] | 0 | 6 | normal | |
aisi-whitebox/inspect_llama_31_8b_instruct_prompted_sandbagging_sevenllm_mcq_en_unfiltered | none | 0.8883 | code | 0.0645 | null | [] | 0 | 9 | normal | |
wahdan2003/medicine_names_single_line_text | none | 0.5571 | medical | 0.2196 | null | [] | 0 | 4 | normal | |
Nishadhka/gfs_s3_gik_refs | climate | 0.9963 | biology | 0.0023 | null | [] | tags:
- zarr
# AWS S3 GFS made into refrecnes and stored as paraquet file
Based on the methods discussed in https://github.com/icpac-igad/grib-index-kerchunk
Each Paraquet file is 00z run with 15 variables as used in the file
https://github.com/icpac-igad/grib-index-kerchunk/blob/main/run_day_gfs_gik.py
| S.No | De... | 1,753 | 9 | new_discovery |
Aasdfip/popair__po2_train_2_cleaned_34521 | none | 0.6761 | climate | 0.0998 | null | [] | 0 | 5 | normal | |
Alexsssu/lmsys_first-round_vicuna-13b-prompts_llama2-7b-responses_300K | none | 0.9321 | code | 0.045 | null | [] | 0 | 4 | normal | |
cheuch12321/record_20251004_142806 | none | 0.94 | code | 0.0532 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version"... | 2,408 | 5 | normal |
mlnomad/imnet1k_strawberry | none | 0.5363 | climate | 0.0946 | null | [] | 0 | 4 | normal | |
visual-layer/fashion-mnist-vl-enriched | none | 0.8441 | cybersecurity | 0.0765 | null | [] | <div style="text-align: center;">
<a href="https://app.visual-layer.com/dataset/7e9674b6-648d-11ef-bb7d-4282573bcafb/data?p=1&page=1&utm_source=hugging_face" style="display: inline-block; padding: 10px 20px; background-color: rgba(128, 0, 128, 0.5); color: white; text-decoration: none; border-radius: 5px; font-family... | 4,380 | 17 | normal |
Ajain1391/multiclass-sentiment-analysis-dataset | none | 0.9238 | legal | 0.0466 | code | [
"code"
] | # Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/hugg... | 1,531 | 6 | tag_disagree |
lekta/dataset_MOCK | none | 0.4443 | climate | 0.1437 | null | [] | 0 | 4 | normal | |
kamilakesbi/synthetic_dataset_jpn_2_augment | none | 0.5093 | chemistry | 0.2433 | null | [] | 0 | 9 | normal | |
edwardyeung04/eval_cat_bowl_wrist_chunk50_act1_temp0p1 | none | 0.9196 | code | 0.0748 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 2,945 | 27 | normal |
alexandradiaconu/ROS3 | none | 0.3383 | chemistry | 0.3049 | null | [] | 0 | 8 | normal | |
hirundo-io/telecom-ft-500-persons-llama-3_2-3b_ret_oc_8-improved-security_18-htf-obf | cybersecurity | 0.4757 | none | 0.4307 | null | [] | 0 | 5 | boundary | |
talmahmud/my_dataset_repo | none | 0.5734 | climate | 0.1077 | null | [
"unlearning",
"question answering",
"NLP",
"LLM"
] | 0 | 218 | normal | |
Asap7772/d1shs0ap-hard-hintgen-qwen3-4b-lr1e6-verl-mixFalse | none | 0.7843 | code | 0.1766 | null | [] | 0 | 4 | normal | |
VGraf/generation_multi_1746752038 | none | 0.8595 | code | 0.1316 | null | [] | # 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,
'dataset_end_idx': 142500,
'dataset_mixer_list': ['VGraf/no_safety_tulu_pref', '150000'],
'dataset_shuffle_seed': 42... | 2,332 | 3 | normal |
metchee/u-sticker | none | 0.9432 | code | 0.0473 | null | [] | # U-Sticker
**U**ser-**Sticker** is a stickers dataset with multi-domain conversations.
Features of U-Sticker:
- Multi-domain interactions ✅
- Temporal ✅
- User information ✅
- 370.2k stickers ✅ (104k unique)
- 22.6k users ✅
### Dataset Description
U-Sticker contains three files:
1. Conversation files: 1 to 67`.json... | 2,914 | 823 | normal |
DKYoon/triviaqa_val_heldout | none | 0.6298 | code | 0.0744 | null | [] | 0 | 3 | normal | |
Finisha-F-scratch/Nacid | biology | 0.4004 | chemistry | 0.2877 | null | [
"music"
] | cette dataset n'est le plat de résistance principal tiède de nos modèles. | 73 | 45 | boundary |
neuromorphic-polito/siddha | none | 0.978 | code | 0.0112 | null | [
"human-activity-recognition",
"biometrics",
"smartwatch-sensors",
"smarthphone-sensors"
] | # SIDDHA
### **Smart Inertial Device Data from Human Activities**
SIDDHA is a curated dataset derived from smartphone and smartwatch inertial measurement units (IMUs).
It contains **uniformly sampled accelerometer and gyroscope data at 20 Hz**, for **51 subjects** performing **18 activities** across two devices:
... | 2,105 | 25 | normal |
sven-h/wikidata_reference | none | 0.9804 | code | 0.0126 | null | [] | # Dataset Card for Triple-to-Text Alignment Dataset
## Dataset Summary
The Triple-to-Text Alignment dataset aligns Knowledge Graph (KG) triples from Wikidata with diverse, real-world textual sources extracted from the web. Unlike previous datasets that rely primarily on Wikipedia text, this dataset provides a broader... | 2,885 | 3 | normal |
UnluckyOrangutan/tactic-haveDraft | none | 0.4636 | code | 0.2542 | null | [] | 0 | 25 | normal | |
mlnomad/imnet1k_trilobite | none | 0.4914 | biology | 0.1298 | null | [] | 0 | 4 | normal | |
AudreyTrungNguyen/keyword_legalqa | legal | 0.4601 | none | 0.2068 | null | [] | 0 | 4 | normal | |
CharlesLi/ultrafeedback_most_similar_pair_llama3_1_8b | none | 0.378 | chemistry | 0.3252 | null | [] | 0 | 10 | normal | |
0x7o/aicups-g | none | 0.5751 | code | 0.1084 | null | [] | 0 | 4 | normal | |
qypzmt/jenny-tts-tags-6h | none | 0.5235 | code | 0.139 | null | [] | 0 | 5 | normal | |
ivanjaenm/otdata_100K_rowwise_costtype_sqeuclidean | none | 0.4914 | biology | 0.145 | null | [] | 0 | 4 | normal | |
traintogpb/aihub-kozh-translation-integrated-large-5.9m | none | 0.9695 | biology | 0.0111 | null | [] | ### AI Hub Ko-Zh Translation Dataset (Integrated)
AI Hub의 한-중 번역 관련 데이터셋 10개를 병합한 자료입니다. 병합 시 총 데이터 개수는 5,934,596개이며, 이중 10,000개의 validation set와 2,000개의 test set가 분리되어 모든 데이터 사이즈(large-5.9m, base-1m, small-100k)에서 동일하게 사용됩니다.
- large-5.9m (train): 병합 데이터 100% 사용; 총 5,922,596개
- base-1m (train): 병합 데이터 중 1M개 사용; 총 1... | 2,281 | 9 | normal |
Grigorij/right-arm-give-notebook-9-clean | none | 0.9181 | code | 0.0781 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,583 | 8 | normal |
rosieyzh/tinygsm_fopython_no_obs_depth1to9_traindepth5_tokenized | none | 0.6629 | climate | 0.1101 | null | [] | 0 | 97 | normal | |
tomneutens/up-grab-test-session_2025-11-23_09.27.03 | none | 0.9244 | code | 0.0712 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,588 | 7 | normal |
heegyu/Ultrafeedback-split-critiques | none | 0.9796 | code | 0.0082 | null | [] | # Dataset Card for "Ultrafeedback-split-critiques"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 183 | 7 | normal |
jacobmorrison/TruthfulQA-phonetic | none | 0.5245 | code | 0.1296 | null | [] | 0 | 4 | normal | |
Post-training-Data-Flywheel/gpt4-self-instruct | none | 0.487 | code | 0.4046 | null | [] | 0 | 6 | normal | |
rafihmd21/humanoid-insomnia-data | none | 0.8187 | code | 0.0597 | null | [] | 0 | 4 | normal | |
DenyTranDFW/GM_Financial_Consumer_Automobile_Receivables_Trust_2020_2_1806151 | none | 0.9243 | finance | 0.0259 | null | [] | | cik | form | accessionNumber | fileNumber | filmNumber | reportDate | url|
| ---------- | ---------- | ---------- | ---------- | ---------- | ---------- | ----------|
| 1806151 | ABS-EE | 0001347185-20-000012 | 333-220233-10 | 20788099 | 2020-03-31 | https://sec.gov/Archives/edgar/data/1806151/000134718520000012|... | 7,097 | 11 | normal |
mzio/aprm-sft_genthinkact-Eaprm_tw_treasure_easy_sp-Gaprm_qw3_ap-S42-Rmt128_reg_treasure_easy-tr | none | 0.8442 | cybersecurity | 0.0839 | null | [] | # Act-PRM Rollout Dataset
## Run Metadata
- **run_name**: `act-prm-cc-isas=0-reru=0-enco=act_prm_tw_treasure_easy_sp-geco=aprm_qwen3_ap-trco=aprm_for_sft100-moco=hf_qwen3_4b_inst_2507-loco=r8_a16_qkvo-acon=1-hiob=1-mato=128-difa=0_9-grsi=8-basi=8-lera=0_001-nusu=1-se=42-re=mt128_reg_treasure_easy`
- **run_cmd**: `mai... | 965 | 13 | normal |
Grigorij/throw_out_trash_23_02_2026_cut | none | 0.9154 | code | 0.0796 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,581 | 25 | normal |
HichTala/xview_10shot_1 | none | 0.5677 | code | 0.0892 | null | [] | 0 | 8 | normal | |
Lichess/atomic-centisecond-games | none | 0.7308 | code | 0.1192 | null | [] | 0 | 13 | normal | |
alihmaou/bdnb_2023-11.a_batiment_groupe_bdtopo_equ_49 | none | 0.7607 | chemistry | 0.071 | null | [] | 0 | 3 | normal | |
SergeiZu/french-film-reviews | none | 0.8214 | code | 0.0346 | null | [] | 0 | 6 | normal | |
alea-institute/kl3m-filter-data-dotgov-americorps.gov | none | 0.4784 | climate | 0.1076 | null | [] | 0 | 3 | normal | |
gnekt/hotpotqa_small_sample_autorag | none | 0.5694 | code | 0.1172 | null | [
"rag",
"autorag"
] | 0 | 55 | normal | |
sarahpann/rwb_safety | none | 0.5651 | code | 0.0889 | null | [] | 0 | 4 | normal | |
DCAgent2/swebench_verified_random_100_folders_rl_bs128_gs16_rloo_n_code_contests_900s_no25bc5c8b | none | 0.7089 | code | 0.1702 | null | [] | 0 | 17 | normal | |
DCAgent/DCAgent_dev_set_71_tasks_DCAgent_codeforces-gptoss120b-traces_20251111_181719 | none | 0.8813 | code | 0.1042 | null | [] | 0 | 10 | normal | |
jkazdan/collapse_gemma-2-2b_hs2_accumulate_iter4_sftsd0_temp1_max_seq_len512 | none | 0.7455 | chemistry | 0.1428 | null | [] | 0 | 2 | normal | |
TurkuNLP/register_oscar | none | 0.9753 | legal | 0.0118 | null | [] | # Dataset Card for register_oscar
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fie... | 3,538 | 151 | normal |
oakwood/efe_br-39 | biology | 0.4598 | none | 0.1931 | null | [] | This dataset was created using [🤗 LeRobot](https://github.com/huggingface/lerobot). | 83 | 3 | normal |
smoorsmith/humaneval | none | 0.6018 | chemistry | 0.0929 | null | [] | 0 | 3 | normal | |
Trelis/chess_pieces | none | 0.525 | code | 0.1239 | null | [] | 0 | 17 | normal | |
bitmind/semisynthetic-video | none | 0.9687 | code | 0.0141 | null | [] | Citations for datasets included in this collection:
```
@article{yan2024df40,
title={DF40: Toward Next-Generation Deepfake Detection},
author={Yan, Zhiyuan and Yao, Taiping and Chen, Shen and Zhao, Yandan and Fu, Xinghe and Zhu, Junwei and Luo, Donghao and Yuan, Li and Wang, Chengjie and Ding, Shouhong and others},... | 385 | 201 | normal |
TheFactoryX/edition_0630_tatsu-lab-alpaca-readymade | none | 0.9728 | code | 0.0235 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0630_tatsu-lab-alpaca-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[tatsu-lab/alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
**What we di... | 930 | 4 | normal |
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