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 |
|---|---|---|---|---|---|---|---|---|---|---|
Birr001/mag_limited_z_0.135_spectra | chemistry | 0.6239 | climate | 0.1934 | null | [] | 0 | 14 | normal | |
AndrejOrsula/lerobot_double_ball_stacking_random | none | 0.922 | code | 0.0746 | null | [
"so100",
"hackathon"
] | 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",
"... | 3,589 | 89 | normal |
supergoose/flan_combined_task1182_xcopa_commonsense_reasoning_vi | none | 0.6756 | legal | 0.1385 | null | [] | 0 | 4 | normal | |
michsethowusu/afrikaans-english-emotions-corpus | none | 0.9238 | cybersecurity | 0.052 | null | [
"emotion",
"african-languages",
"nlp",
"text-classification"
] | # Afrikaans-english Emotion Analysis Corpus
## Dataset Description
This dataset contains emotion-labeled text data in Afrikaans-english for emotion classification (joy, sadness, anger, fear, surprise, disgust, neutral). Emotions were extracted and processed from the English meanings of the sentences using the model `... | 2,114 | 30 | normal |
trendfollower/example-retrieval-reranking-dataset | none | 0.5536 | code | 0.4385 | null | [
"distilabel",
"rlaif"
] | <p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for example-retrieval-reranking-dataset
This datase... | 7,210 | 3 | normal |
ycfNTU/masum_zeroshot_loop_mistral | none | 0.5731 | climate | 0.0958 | null | [] | 0 | 4 | normal | |
YieumYoon/eval_groot-bimanual-so100-crlbasket-004-all-pos-check | none | 0.9533 | code | 0.0431 | 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",
"... | 4,779 | 16 | normal |
SkillFactory-dev/D-ExpTracker__1119_newmodels__qwen7b_sft10k_ours__v1 | none | 0.646 | code | 0.2903 | null | [] | 0 | 8 | normal | |
DUDU9527/so100_test4 | none | 0.9349 | code | 0.0601 | null | [
"so100",
"tutorial"
] | 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": "v2.0",
"... | 3,581 | 25 | normal |
TrevorJS/mtg-scryfall-unique-artwork-20240809-with-card-art-descriptions-and-images-with-embeddings | none | 0.8284 | code | 0.1447 | null | [] | 0 | 3 | normal | |
reasoning-degeneration-dev/t1-strategy-countdown-treesearch-together_ai-qwen-qwen3-next-80b-a3b-inst-28fe4972 | none | 0.9617 | code | 0.0275 | null | [
"strategy_compliance",
"countdown",
"reasoning_malleability",
"treesearch"
] | # t1-strategy-countdown-treesearch-together_ai-qwen-qwen3-next-80b-a3b-inst-28fe4972
**Strategy compliance** evaluation on countdown arithmetic — **tree-search** variant.
Model was instructed to use a systematic tree search with explicit backtracking.
Compliance is scored by an LLM judge (1-5 Likert).
## Results
| ... | 1,438 | 15 | normal |
french-open-data/equipements-sociaux-et-medico-sociaux-actifs-des-structures-finess-t-actms-finess | cybersecurity | 0.6962 | medical | 0.2381 | null | [
"atlasante",
"autorisation",
"datasante",
"finess",
"medico-social",
"social",
"dataset_for_agent"
] | # Equipements sociaux et médico-sociaux actifs des structures Finess (t_actms_finess)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Equipements sociaux et médico-sociaux actifs des structures Finess (t_actms_finess)** qui est disponible à l'adresse htt... | 1,287 | 6 | normal |
extralit-dev/test_import_dataset_from_hub_with_classlabel_9a1998e7-915c-4419-a308-5eb343c332f8 | none | 0.7119 | code | 0.0826 | null | [] | 0 | 5 | normal | |
ideepankarsharma2003/kaggle-bald-dataset | none | 0.8558 | biology | 0.0643 | null | [
"bald",
"hair"
] | ## Bald Hair Classification
https://www.kaggle.com/datasets/ashishjangra27/bald-classification-200k-images-celeba | 114 | 6 | normal |
nickypro/minipile | none | 0.9494 | code | 0.0418 | null | [] | Copy of [jbrinkma/pile-100k](https://huggingface.co/datasets/jbrinkma/pile-100k).
This version split into: 80k train, 10k test, 10k validation
Features of this version
- This version has a both a train + test + validation set
- Is easily downloadable in ~300MB
- Keeps metadata | 278 | 47 | normal |
ADHIZ/cifargreatnesssuccess | none | 0.4681 | code | 0.1406 | null | [] | 0 | 6 | normal | |
reeoooo/kanjiImages4 | none | 0.4047 | code | 0.2107 | null | [] | 0 | 4 | normal | |
kowndinya23/flan_v2_1613_niv2_tasks_input_output_only | none | 0.7434 | code | 0.1333 | null | [] | 0 | 3 | normal | |
GabrielMM/countdown_sft_clean | none | 0.4647 | code | 0.1667 | null | [] | 0 | 3 | normal | |
BangumiBase/saikyounoousamanidomenojinseiwananiwosuru | none | 0.9786 | code | 0.0166 | null | [
"art"
] | # Bangumi Image Base of Saikyou No Ousama, Nidome No Jinsei Wa Nani Wo Suru?
This is the image base of bangumi Saikyou no Ousama, Nidome no Jinsei wa Nani wo Suru?, we detected 71 characters, 4913 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% ... | 23,515 | 6,645 | normal |
ClarusC64/clinical-quad-ai-screening-eligibility-automation-demographic-skew-outcome-bias-v0.1 | medical | 0.9956 | none | 0.0041 | medical | [
"clinical-trials",
"ai",
"screening",
"bias",
"governance",
"coupling"
] | Clinical Quad AI Screening Eligibility Automation Demographic Skew Outcome Bias v0.1
Each row is a site monthly snapshot.
Core quad
AI screening adoption
Eligibility automation strictness
Demographic skew
Outcome bias
Target
label_regulatory_concern_next_90d
Files
data/train.csv
data/tester.csv
scorer.... | 434 | 902 | normal |
MagedSaeed/sem_eval_2018_task_1_subtask5_arabic_experimental | none | 0.7655 | biology | 0.0945 | null | [] | 0 | 3 | normal | |
french-open-data/les-projets-de-cooperation-decentralisee-amerique-centrale | cybersecurity | 0.94 | none | 0.0393 | null | [
"amerique",
"collectivite-locale",
"collectivite-territoriale",
"commune",
"cooperation-decentralisee",
"departement",
"region",
"dataset_for_agent"
] | # Les projets de coopération décentralisée : Amérique centrale
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Les projets de coopération décentralisée : Amérique centrale** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/53699871a3a7292... | 901 | 7 | new_discovery |
Asap7772/arc-agi-mixed-barc-train-Qwen3-4B-AWQ-samp16-21of32 | none | 0.8485 | biology | 0.0663 | null | [] | 0 | 27 | normal | |
rainfullclub/pretrain_demo | code | 0.5888 | none | 0.3408 | null | [] | 这个数据集来自minimind_dataset数据集。
由于其pretrain_hq.jsonl相对较大，有1.6G左右，这里取了其1/8左右的内容，只用了216MB左右的数据。
而且格式上也做了一些简单修改，具体内容可以查看数据详情。
之所以创建这个数据集，主要是为了在RainFallModelFactory中作为演示使用，用别的地方的数据集有被删掉的风险。
所以创建一个稳定存在的，不会被删掉的数据集。 | 205 | 4 | normal |
tmpmodelsave/qwen7bmath_base_ppo_with_format_score_numia_prompt_165tmp0_MATH500 | none | 0.6004 | math | 0.2387 | null | [] | 0 | 4 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_d1f0fed6-c2cf-458c-b0a3-e06cf0953e7d | none | 0.6758 | code | 0.1438 | null | [] | 0 | 3 | normal | |
buschbd7/chapter_159B_general_statutes | legal | 0.363 | none | 0.2988 | null | [] | 0 | 7 | boundary | |
Ahmadzawar0346/NuovaFood | biology | 0.2751 | none | 0.2457 | null | [] | 0 | 4 | boundary | |
wxxy0719/PhysReason | math | 0.7453 | none | 0.2155 | null | [
"physics"
] | # PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning
[](https://arxiv.org/abs/2502.12054)
[](https://huggingface.co/datasets/zhibei1204/PhysReason)
[![Project ... | 9,960 | 27 | normal |
CLAPv2/emo_webds_2_formatted_batch_103 | none | 0.6637 | code | 0.1455 | null | [] | 0 | 7 | normal | |
mimiklee/masterthesis_clean_text_20k_unlimiformer | none | 0.6134 | chemistry | 0.1433 | null | [] | 0 | 5 | normal | |
aisi-whitebox/wmdp_chem_prompted-sandbagging-llama_33_70b_instruct | none | 0.6434 | code | 0.2386 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: wmdp_chem_prompted-sandbagging-llama_33_70b_instruct
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-04-24.
### Model Information
- **Model**: `vllm/meta-llama/Llama-3.3-70B-Instruct`
### Task Information
- **Ta... | 3,849 | 4 | normal |
guanfengliu/eval_so101_main_bin_yellow4_200k | none | 0.9382 | code | 0.0569 | 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",
"... | 3,572 | 8 | normal |
answerdotai/MLMMLU-Semipro | none | 0.3745 | chemistry | 0.1296 | null | [] | 0 | 14 | normal | |
nouhad/math_algebra_func_intersection_coords_level_5_self_correcting_results | math | 0.6675 | none | 0.2023 | null | [] | 0 | 3 | normal | |
BrunoHays/darija_stt_mix | none | 0.4291 | chemistry | 0.1395 | null | [] | 0 | 31 | normal | |
cat-claws/hotpotqa_clustered_agglomerative_all-mpnet-base-v2_10 | none | 0.6569 | biology | 0.1754 | null | [] | 0 | 6 | normal | |
gabrielmbmb/gsm8k-mugglemath-temp-1-top-p-1 | none | 0.8032 | math | 0.1051 | null | [
"distilabel",
"rlaif"
] | <p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for gsm8k-mugglemath-temp-1-top-p-1
This dataset ha... | 3,305 | 5 | normal |
weixiny0408/vtonqa | none | 0.921 | medical | 0.0386 | null | [] | # VTONQA: A Multi-Dimensional Quality Assessment Dataset for Virtual Try-On
## 📌 Overview
VTONQA is a benchmark dataset for evaluating the quality of virtual try-on (VTON) results.
It provides multi-dimensional human annotations to assess realism, alignment, and perceptual quality of synthesized try-on images.
Co... | 4,500 | 5 | normal |
amcinnerney/kBack_simple_9k_3grams | none | 0.6448 | code | 0.1184 | null | [] | 0 | 4 | normal | |
dchip95/gold_storage_modulus | none | 0.4876 | chemistry | 0.3241 | null | [] | 0 | 0 | normal | |
HiDream-ai/VIP-200K | none | 0.9763 | code | 0.0165 | null | [] | # Dataset Documentation
> **Video Files:** If you need the pre-packaged video clips (`.tar` archives), you can download them directly from **[HiDream-ai/VIP-200K-Video](https://huggingface.co/datasets/HiDream-ai/VIP-200K-Video)**.
## Dataset Overview
This dataset containing annotated face and contextual segment infor... | 7,083 | 330 | normal |
Beehzod/new_data | none | 0.4687 | climate | 0.1532 | null | [] | 0 | 6 | normal | |
chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754593371_eval_759d_aime24_skip_attn_idx_23 | none | 0.9829 | code | 0.009 | null | [] | # chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754593371_eval_759d_aime24_skip_attn_idx_23
Precomputed model outputs for evaluation.
## Evaluation Results
### AIME24
- **Average Accuracy**: 7.00% ± 1.45%
- **Number of Runs**: 10
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------... | 573 | 6 | normal |
Lyrasilas/eval_ep500_seed1_default_car_less_zoom_10000_ppo_circle_big | none | 0.9452 | code | 0.0506 | 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",
"... | 2,709 | 54 | normal |
jacobmorrison/PopQA-leetcode | none | 0.4696 | code | 0.2111 | null | [] | 0 | 5 | normal | |
ssunny/modi_eldery_2410 | climate | 0.3253 | none | 0.2651 | null | [] | 0 | 3 | boundary | |
TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_r1distilltrans_rl-acronym_4o-eval_rl | none | 0.6938 | code | 0.1382 | null | [] | 0 | 5 | normal | |
mandipgoswami/rirmega | none | 0.8626 | cybersecurity | 0.0391 | null | [
"audio",
"rir",
"room-impulse-response",
"room-acoustics",
"reverberation",
"dereverberation",
"acoustic-parameter-estimation",
"robust-asr",
"speech-enhancement",
"acoustic-scene-analysis",
"simulation",
"regression",
"acoustics",
"speech",
"python",
"pytorch"
] | # RIRmega v2 — Dataset card (Hugging Face)
This folder holds the v2 artifacts intended for the Hugging Face dataset [mandipgoswami/rirmega](https://huggingface.co/datasets/mandipgoswami/rirmega). When published, use revision **v2.0.0** for the v2 release.
## Dataset description
RIRmega v2 extends the existing RIRmeg... | 4,196 | 720 | normal |
ankile/nutsquare-auto-dagger-flat-v1-s2-r18 | none | 0.961 | code | 0.0272 | 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",
"... | 5,670 | 14 | normal |
yihanwang617/WizardLM_70k_processed | none | 0.3468 | biology | 0.1576 | null | [] | 0 | 4 | normal | |
VictorDCh/spider-clean-text-to-sql-4 | none | 0.4356 | code | 0.4068 | null | [] | 0 | 11 | normal | |
TAUR-dev/dataset__long_multiplication__10dig__longmult2dBoN__BoN | none | 0.8047 | code | 0.0819 | null | [] | 0 | 4 | normal | |
neelabh17/gen_graph_path_5_branch_9_depth_2_out_of_the_box_num_gen_100_Qwen2.5-14B-Instruct | none | 0.4609 | code | 0.2157 | null | [] | 0 | 5 | normal | |
Reih02/deception_comparative_avoidance_v3 | none | 0.4751 | legal | 0.1892 | null | [] | 0 | 12 | normal | |
nuuuwan/lk-police-press-releases-docs | none | 0.7373 | legal | 0.0799 | null | [] | 0 | 326 | normal | |
TAUR-dev/small_given_correct_ans_improvement_ds_checkpoint | none | 0.887 | code | 0.055 | null | [] | 0 | 4 | normal | |
ClarusC64/clinical-quad-anticoag-antiplatelet-renal-fall-bleed-v0.1 | medical | 0.9975 | none | 0.002 | medical | [
"clinical-trials",
"quad-coupling"
] | What this repo does
This dataset models major bleeding risk under anticoagulation. It predicts when the interaction between anticoagulant intensity, antiplatelet coadministration, reduced renal function, and elevated fall risk creates a high probability of a bleeding event.
Core quad
anticoag_intensity_index
antipla... | 1,727 | 810 | normal |
Katrop/Thoedphong | legal | 0.483 | none | 0.1753 | null | [] | สวัสดีครับผมได้เรียนรู้ภาษา NLP มาในระดับหนึ่งพอเข้าใจได้ว่า NLP เนี่ยคือการทำให้คอมพิวเตอร์สามารถเข้าใจและประมวลผลภาษามนุษย์ และทำให้เกิด AI ขึ้นมาที่สามารถทำงานอะไรได้บ้าง
มีประโยชน์ยังไง เช่น แปลภาษา จำแนกความแตกต่าง แปลงข้อความเป็นเวกเตอร์ การเติมคำในประโยค การสรุปประโยค การถาม-ตอบ แต่ว่าผมนั้นยังจับทางยังไม่ค่อยถ... | 744 | 2 | normal |
FaalSa/fh12 | none | 0.3357 | biology | 0.1853 | null | [] | 0 | 4 | normal | |
enPurified/textbooks-lite-700k-sharegpt-enPurified-openai-messages | math | 0.7137 | none | 0.2077 | null | [
"nlp",
"conversational",
"prose",
"filtered",
"textbooks",
"quality-filtered",
"enPurified"
] | # 📖 textbooks-lite-700k-enPurified-openai-messages
**textbooks-lite-700k-enPurified** is a highly curated, "prose-first" subset of the original [jtatman/textbooks-lite-700k-sharegpt](https://huggingface.co/datasets/jtatman/textbooks-lite-700k-sharegpt).
The `enPurified` collection is built on a specific philosophy: ... | 1,581 | 13 | normal |
anthj/dpo_belief | none | 0.4863 | climate | 0.1626 | null | [] | 0 | 3 | normal | |
rishieee/ORAN_TeleQNA_filtered | none | 0.9196 | cybersecurity | 0.0235 | null | [] | ## Overview
**ORAN_TeleQNA** is a streamlined evaluation dataset derived from **ORANBench and TeleQNA** | 104 | 18 | normal |
TheReverand/so101_cube_task_v4 | none | 0.9186 | code | 0.0665 | 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",
"... | 3,154 | 14 | normal |
specific-AI/yelp_review_full_original | none | 0.6185 | biology | 0.0759 | null | [] | 0 | 18 | normal | |
qoowater/elevator_button2_g_p1 | none | 0.8983 | code | 0.0981 | 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",
"... | 3,580 | 8 | normal |
FireflyLiu/DialogMedTab | medical | 0.9041 | none | 0.0909 | null | [] | # Dataset
## Overview
The C Online Diagnose Dataset is a valuable resource for researching patient satisfaction in online diagnose and multimodal data analysis. It contains a large number of real - world online medical consultation records and corresponding doctor information, providing rich data for exploring the re... | 1,926 | 5 | new_discovery |
introspection-auditing/backdoor_run1_improved_55_induce | none | 0.9188 | code | 0.0231 | null | [] | 0 | 5 | normal | |
OscarGD6/coco-caption2017-lmms-qa-tts | none | 0.4147 | chemistry | 0.2124 | null | [] | 0 | 9 | normal | |
felixZzz/bespoke_17k_content_source | none | 0.5742 | code | 0.1292 | null | [] | 0 | 24 | normal | |
TAUR-dev/D-VAL_SFT-config_hash-3645486539525341560 | none | 0.3922 | code | 0.3434 | null | [] | 0 | 4 | normal | |
Anthony3456347095/MET-Meme | none | 0.3896 | code | 0.1816 | null | [] | 0 | 18 | normal | |
ohjoonhee/SimpleVQA-EN | none | 0.2786 | code | 0.2476 | null | [] | 0 | 11 | normal | |
FrancophonIA/17-minute-world-languages_albanaise | none | 0.9527 | code | 0.0222 | null | [] | > [!NOTE]
> Dataset origin: https://www.17-minute-world-languages.com/fr/albanaise/
Site à scrapper | 100 | 26 | normal |
FrancophonIA/Termcat_Penitentiary_and_Criminal_Law | legal | 0.9471 | none | 0.0421 | null | [] | > [!NOTE]
> Dataset origin: https://live.european-language-grid.eu/catalogue/lcr/19335
## Description
Terms in Penitentiary and Criminal Law
## Citation
```
Termcat Penitentiary and Criminal Law (2022). Version unspecified. [Dataset (Lexical/Conceptual Resource)]. Source: European Language Grid. https://l... | 374 | 5 | new_discovery |
MikeGreen2710/hn_nov_11_full_sanitized_ner_900000_1350000 | none | 0.8282 | biology | 0.1006 | null | [] | 0 | 3 | normal | |
chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754599506_eval_3444_gpqadiamond_skip_attn_idx_9 | none | 0.989 | code | 0.0063 | null | [] | # chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754599506_eval_3444_gpqadiamond_skip_attn_idx_9
Precomputed model outputs for evaluation.
## Evaluation Results
### GPQADiamond
- **Average Accuracy**: 23.91% ± 0.77%
- **Number of Runs**: 3
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|--------... | 425 | 139 | normal |
blanchon/eval_act_play_ora46ndffdgefdsd561435544243dsds | none | 0.9303 | code | 0.0668 | null | [
"so101",
"paino"
] | 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",
"... | 2,948 | 15 | normal |
axolotl-ai-co/Deepseek-PRM-Data | none | 0.3758 | biology | 0.3622 | null | [] | 0 | 52 | normal | |
music-arena/music-arena-dataset | none | 0.5322 | code | 0.4287 | null | [
"audio",
"music",
"text-to-music",
"preference-data",
"human-feedback"
] | # Music Arena Dataset
This is the official dataset from [**Music Arena**](https://huggingface.co/spaces/music-arena/music-arena), an open platform for evaluating text-to-music (TTM) models.
## How to Download (Recommended Method)
The most reliable way to get a complete local copy of all files, including the entire a... | 6,013 | 4,208 | normal |
ahmadAlrabghi/kalila_and_dimna | none | 0.5343 | code | 0.0878 | null | [] | 0 | 5 | normal | |
HungVu2003/opt-350m_beta_1.0_alpha_1.0_num-company_2_dataset_1_for_gen_10 | none | 0.8872 | biology | 0.0319 | null | [] | 0 | 4 | normal | |
adi-gov-tw/Taiwan-Tongues-ASR-CE-dataset-zhtw | none | 0.9249 | cybersecurity | 0.0267 | null | [
"dginfra"
] | # Taiwan-Tongues-ASR-CE-dataset-zhtw
本資料集為 [Taiwan-Tongues-ASR-CE](https://github.com/adi-gov-tw/Taiwan-Tongues-ASR-CE) 專案所使用的預訓練資料，透過 **[WebDataset](https://github.com/webdataset/webdataset)** 格式打包，並上傳至 Hugging Face 以便研究人員與開發者自由取用。
---
## 📂 Dataset 結構
本資料集分為 **Training** 與 **Test** 兩個子集，均以 WebDataset `tar` 檔案形式存放... | 2,245 | 241 | normal |
Yusiko/little_dataset_Azerbaijani | none | 0.983 | legal | 0.0047 | math | [
"history",
"economics",
"math",
"robotech"
] | 🇦🇿 Azerbaijani Instruction Dataset
📚 About this dataset
This dataset contains 400 Azerbaijani-language instruction–response pairs, created for fine-tuning conversational and educational AI models.
It follows the Alpaca-style format with "input" and "output" fields and focuses on clarity, accuracy, and linguistic r... | 1,701 | 4 | tag_disagree |
BRlkl/BingoGuardTrain-wo-severity-pt2 | none | 0.6126 | code | 0.1172 | null | [] | 0 | 4 | normal | |
piadev/fairface | none | 0.439 | climate | 0.1022 | null | [] | 0 | 6 | normal | |
bonnieliu2002/act_collect_empty_bottle_black_white_wrist_5k_bs8_k48_tec02_testing6 | none | 0.947 | code | 0.0486 | 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",
"... | 3,144 | 4 | normal |
tomreichel/proofdb-synthetic-eval | none | 0.4261 | code | 0.2165 | null | [] | 0 | 5 | normal | |
yoonholee/OmniMATH-from-solutions-multiple-o3-mini | code | 0.3455 | none | 0.3418 | null | [] | 0 | 8 | boundary | |
e9t/nsmc | none | 0.9928 | finance | 0.0033 | null | [] | # Dataset Card for Naver sentiment movie corpus
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances]... | 3,013 | 546 | normal |
ErikaaWang/M_0_generated__gsm8k_model_pool__qwen_score_gemma | none | 0.4877 | biology | 0.1773 | null | [] | 0 | 4 | normal | |
Basket-AEye/mvtec_yolo | chemistry | 0.4337 | none | 0.3632 | null | [] | # MVTec D2S Dataset
- This dataset is a modification of the [D2S set](https://www.mvtec.com/company/research/datasets/mvtec-d2s) to the COCO format.
- The Annotations for the test set are not public and the results can be requested per mail if in the correct format.
- The Augmentation set (10k images) is split into Tr... | 455 | 21 | boundary |
aditya17620/Bandagestest_7 | none | 0.9574 | code | 0.0369 | 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",
"... | 4,823 | 6 | normal |
Yuyeong/am_test | none | 0.4666 | climate | 0.1786 | null | [] | 0 | 5 | normal | |
french-open-data/les-comptes-de-la-protection-sociale | cybersecurity | 0.9654 | legal | 0.0176 | null | [
"depenses-de-protection-sociale",
"financements-de-protection-sociale",
"prestation-sociale",
"protection-sociale",
"systeme-de-protection-sociale",
"dataset_for_agent"
] | # Les comptes de la protection sociale
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Les comptes de la protection sociale** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/6226330d43207324363e0c4c
## Description
Les Comptes de la pro... | 1,729 | 10 | new_discovery |
poundermark/box-dataset | none | 0.49 | climate | 0.1758 | null | [] | 0 | 5 | normal | |
abosalah/flitered_dataset2 | none | 0.4531 | chemistry | 0.1099 | null | [] | 0 | 6 | normal | |
Addyk24/Pre-Delinquency-dataset | legal | 0.6715 | none | 0.1001 | null | [] | 0 | 22 | normal | |
DCAgent2/terminal_bench_2_exp_psu_swesmith_1K_glm_4_7_traces_jupiter__4_0__Qwen3_8B_202637fb60ab | code | 0.8216 | none | 0.11 | null | [] | 0 | 7 | new_discovery |
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