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 |
|---|---|---|---|---|---|---|---|---|---|---|
cadene/so100_debug | none | 0.7269 | code | 0.1462 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). | 81 | 78 | normal |
Maminirina2/SpleeterMuQEmbeddingsMeanLayersV14 | biology | 0.6408 | none | 0.172 | null | [] | 0 | 3 | normal | |
seansullivan/Langchain-JS-Docs | none | 0.4832 | code | 0.3906 | null | [] | This dataset contains 2 fields:
url (str)
content (str) | 57 | 8 | normal |
bluephysi01/so101_test33 | none | 0.9578 | code | 0.0379 | 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",
"... | 4,760 | 7 | normal |
french-open-data/horaires-theoriques-du-reseau-buss-saintes-gtfs | none | 0.854 | cybersecurity | 0.1289 | null | [
"dataset_for_agent"
] | # Horaires théoriques du réseau BUSS - Saintes (GTFS)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Horaires théoriques du réseau BUSS - Saintes (GTFS)** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/67372aa6fa744b6c1d86759b
## Desc... | 821 | 7 | normal |
unitreerobotics/G1_Dex1_StackRygBlock_Dataset_Sim | code | 0.4894 | none | 0.3753 | null | [] | This dataset was collected using the [unitree_sim_isaaclab](https://github.com/unitreerobotics/unitree_sim_isaaclab) simulation environment, and the scene/task name used during collection is `Isaac-Stack-RgyBlock-G129-Dex1-Joint`. For more details, please refer to the project's README. | 286 | 186 | boundary |
yucemuhammetemir/aremilk | none | 0.4941 | math | 0.1151 | null | [] | 0 | 5 | normal | |
yzembodied/libero_90_image_task_83 | none | 0.8792 | code | 0.1095 | 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",
"... | 3,335 | 4 | normal |
HungVu2003/opt-350m_beta_1.0_alpha_0.6_num-company_2_dataset_0_for_gen_4 | none | 0.8843 | code | 0.0371 | null | [] | 0 | 4 | normal | |
sdpkjc/NumBase-N01-S24-B24 | none | 0.3768 | code | 0.2071 | null | [] | 0 | 4 | normal | |
YangZhoumill/infini_gsm_8k_noise_close | none | 0.4749 | chemistry | 0.2001 | null | [] | 0 | 4 | normal | |
awajai/appointment | none | 0.2902 | legal | 0.2114 | null | [] | 0 | 4 | normal | |
NeuramateSUSU/so101_penholder_demo_v2 | none | 0.9342 | code | 0.0596 | 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",
"... | 3,577 | 66 | normal |
JoelMba/Donnees_internes_formations_34 | none | 0.5842 | biology | 0.3727 | null | [] | # Dataset Card for "Donnees_internes_formations_34"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 184 | 4 | normal |
bisectgroup/hard-negatives-traversal | none | 0.4605 | medical | 0.4228 | biology | [
"biology"
] | #### If our work was helpful conside citing us ☺️
```bibtext
@misc{sinha2025bicaeffectivebiomedicaldense,
title={BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives},
author={Aarush Sinha and Pavan Kumar S and Roshan Balaji and Nirav Pravinbhai Bhatt},
year={2025},
epr... | 447 | 12 | tag_disagree |
error-magnet/test_data | none | 0.8735 | code | 0.119 | 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",
"... | 4,456 | 17 | normal |
portuguese-benchmark-datasets/BLUEX_temp_placeholder | none | 0.7065 | code | 0.0738 | null | [] | 0 | 5 | normal | |
Matis-E/BUSI_benign_25_no_sks | none | 0.6797 | chemistry | 0.0731 | null | [] | 0 | 4 | normal | |
johannesschirrmeister/eval_stone-pick_act | none | 0.8947 | code | 0.1017 | 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",
"... | 3,578 | 7 | normal |
yananchen/math_moa_llama_31_32_3 | none | 0.5468 | math | 0.2018 | null | [] | 0 | 33 | normal | |
Image-editing-3924/Image-Editing-ver1 | none | 0.5899 | code | 0.157 | null | [] | 0 | 26 | normal | |
FlIAmand/bewaeringe-collectage-2012-08-18 | none | 0.6929 | finance | 0.2509 | null | [] | > [!NOTE]
> Dataset origin: https://www.anvt.org/fr/documents-mainmenu-5/dictionnaire-1/157-bewaeringe-collectage-2012-08-18 | 124 | 24 | normal |
ssktora/trec_ct_2021-train1000-bm25-pyserini-5-all-v6 | none | 0.8861 | code | 0.0627 | null | [] | 0 | 5 | normal | |
kiranpantha/NepaliParliamentDSv1-toplay | none | 0.3737 | legal | 0.191 | null | [] | 0 | 4 | normal | |
JHeisler/single_arm | none | 0.8489 | code | 0.0855 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). | 81 | 35 | normal |
UUUUUUZ/code_generation_sae | code | 0.4202 | none | 0.3563 | code | [
"code"
] | 0 | 5 | boundary | |
ilgee/deepseek-grm-hs2-binary | none | 0.3998 | code | 0.181 | null | [] | 0 | 7 | normal | |
NLPmonster/sroie | none | 0.4419 | code | 0.2057 | null | [] | 0 | 7 | normal | |
z7r7y7/DLTD | none | 0.5861 | chemistry | 0.3217 | null | [] | # Dataset Card for Dataset Name
The Dual Transparent Liquid Dataset collection utilizes a RealSense D435 stereo depth camera to simultaneously capture RGB and depth data at a resolution of 1280×720 at 30 FPS. It consists of 27,678 images captured in three laboratory scenarios, focusing on four commonly used types of c... | 3,808 | 20 | normal |
hproc/so101-phone-teleop-data | none | 0.9424 | code | 0.0528 | 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",
"... | 3,546 | 12 | normal |
zjhhhh/game_stage3_beta_0.1_zjhhhh__qwen2.5_3B_Instruct_multi_stage3_seed_555134_beta_0.1_step_1 | none | 0.9565 | code | 0.0371 | null | [] | 0 | 5 | normal | |
VGraf/generation_1741662911 | none | 0.761 | code | 0.2268 | 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': 100,
'dataset_mixer_list': ['KJha02/filtered_tulu', '100'],
'dataset_splits': ['train', 'train'],... | 1,810 | 3 | normal |
braindecode/bcic2020-3 | none | 0.8438 | code | 0.0398 | null | [
"braindecode",
"eeg",
"neuroscience",
"brain-computer-interface",
"deep-learning"
] | # EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a deep
learning library for EEG/MEG/ECoG signals.
## Dataset Information
| Property | Value |
|----------|------:|
| Recordings | 45 |
| Type | Windowed (from Epochs object) |
| Channels | 64 |
| Sampling frequency | 200 Hz |
| Tota... | 2,120 | 826 | normal |
akhanafer/fatimaFellowship2026 | none | 0.7448 | code | 0.2452 | null | [] | Model: https://huggingface.co/CohereLabs/tiny-aya-base
### Model Loading
I loaded the model using the transformers' library `pipeline` helper function and kept the default model parameters provided by the model card. The only thing I would occasionally
change was `max_new_tokens`, to adjust it so that it makes sense w... | 4,522 | 15 | normal |
Masao-Taketani/vizdoom-inference-latent-dataset | none | 0.7919 | code | 0.0939 | null | [] | As for the details of this dataset, please refer to https://github.com/Masao-Taketani/GameNGen. | 95 | 332 | normal |
micahnw/science_fair_5_eps_number_17 | none | 0.9453 | code | 0.0435 | 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",
"... | 2,944 | 7 | normal |
rli14/10132025_pick_redspatula_peachtablecloth | none | 0.8793 | code | 0.1107 | 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",
"... | 2,523 | 4 | normal |
ai4collaboration/MaCroScope-Finance | none | 0.2925 | finance | 0.1755 | null | [] | 0 | 12 | normal | |
guanning-ai/DeepSeek-1.5B_dapo2k_16384_train32test0 | none | 0.7263 | code | 0.1287 | null | [] | 0 | 10 | normal | |
suehyunpark/gsm_infinite_medium_8k | none | 0.6925 | math | 0.0968 | null | [] | 0 | 14 | normal | |
TAUR-dev/D-test_reflection_bf_countdown_4arg_16_4 | none | 0.5939 | code | 0.2504 | null | [] | 0 | 5 | normal | |
ZefanCai/opinoin_number_prob_sa_uniform | none | 0.7409 | climate | 0.0855 | null | [] | 0 | 4 | normal | |
2packer/html-ui-gen | none | 0.2911 | code | 0.2285 | null | [
"aisheets",
"synthetic data"
] | 0 | 40 | normal | |
benayas/llm-augmented_banking_llama2_1pct_v0 | finance | 0.7607 | none | 0.1923 | null | [] | 0 | 4 | normal | |
Astris/Ensemble_of_models_VQA_v0.5 | none | 0.5396 | code | 0.2151 | null | [] | Prompts and GPT-4V completions were obtained from liuhaotian/LLaVA-Instruct-150K. 40% of the prompts went to Gemini 1.5 Pro, and the rest to Gemini 1.5 Flash. | 158 | 10 | normal |
ahyxie/kimina-72B-minif2f-outputs | none | 0.6184 | code | 0.1541 | null | [] | 0 | 13 | normal | |
french-open-data/dirve02 | cybersecurity | 0.8709 | none | 0.0858 | null | [
"aisne",
"dirve02",
"sdirve",
"useda",
"vehicule-electrique",
"dataset_for_agent"
] | # DIRVE02
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **DIRVE02** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/65c6100f678e7da95df95c3d
## Description
Dans le cadre du Programme d’Investissement Avenir et des collectivités locales... | 617 | 30 | new_discovery |
RikeshSilwal/100-test-ime | none | 0.6463 | climate | 0.0869 | null | [] | 0 | 3 | normal | |
mlburnham/scad_event_entailment | none | 0.9458 | code | 0.022 | null | [] | # Dataset Card for "scad_event_entailment"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 175 | 12 | normal |
vinhtran2611/tulu-v2-sft-mixture_filtered_formated | none | 0.6806 | code | 0.0865 | null | [] | 0 | 13 | normal | |
Henryeahhh/bridge_v1 | none | 0.3977 | climate | 0.1587 | null | [
"bridge"
] | 0 | 5 | normal | |
Avgshilpkid/Kannada_robotics_commands | none | 0.6591 | code | 0.128 | null | [] | 0 | 5 | normal | |
anyasims/finemath-4plus-x-llama3.2-p01 | none | 0.6326 | math | 0.1273 | null | [] | 0 | 10 | normal | |
nouhad/addition_test_100_10x10 | none | 0.5731 | code | 0.1637 | null | [] | 0 | 3 | normal | |
redwoodresearch/history-mcq | climate | 0.3522 | none | 0.2536 | null | [] | 0 | 13 | boundary | |
Aratako/aya-ja-nemotron-dpo-masked-sft | none | 0.8317 | cybersecurity | 0.0769 | null | [] | # aya-ja-nemotron-dpo-masked-sft
[weblab-GENIAC/aya-ja-nemotron-dpo-masked](https://huggingface.co/datasets/weblab-GENIAC/aya-ja-nemotron-dpo-masked)のchosen列をassistantの応答とし、SFTの形式に変換したデータセットです。
中身や注意事項等については元データセットの概要をご確認ください。 | 228 | 4 | normal |
tanmayyyj/reward-fn-dpo | none | 0.3609 | chemistry | 0.1617 | null | [] | 0 | 30 | normal | |
french-open-data/asus-notebook-b3402fva | cybersecurity | 0.8412 | none | 0.1223 | null | [
"dataset_for_agent"
] | # ASUS Notebook B3402FVA
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **ASUS Notebook B3402FVA** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/6852c88eb2a3cc82149c915a
## Description
This dataset provides the repairability index sco... | 1,359 | 9 | new_discovery |
ahmedheakl/gg-bench-risc-O2 | none | 0.6096 | chemistry | 0.2615 | null | [] | Check out more datails here:
- Paper: https://arxiv.org/abs/2506.14606
- Code: https://github.com/ahmedheakl/Guaranteed-Guess | 125 | 8 | normal |
nlee-208/uf_cleaned_kto_61k | none | 0.5203 | code | 0.183 | null | [] | 0 | 4 | normal | |
yzhuang/metatree_fri_c2_1000_50 | none | 0.9273 | code | 0.038 | null | [] | # Dataset Card for "metatree_fri_c2_1000_50"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 177 | 5 | normal |
qiqiuyi6/Georeason_RL_train | none | 0.5532 | chemistry | 0.1278 | null | [] | 0 | 4 | normal | |
wissamantoun/NanoMSMARCOArabic | none | 0.9721 | code | 0.0091 | null | [
"information-retrieval",
"nanobeir"
] | # NanoMSMARCO - Arabic
This dataset is the Arabic version of the NanoMSMARCO benchmark from the NanoBEIR multilingual collection.
## Dataset Origin
This dataset is derived from [lightonai/nanobeir-multilingual](https://huggingface.co/datasets/lightonai/nanobeir-multilingual).
NanoBEIR is a smaller version of the BE... | 1,019 | 5 | normal |
jeypiii/ECQA_C3oT_Llama-3.2-3B-Instruct | none | 0.4906 | code | 0.2991 | null | [] | 0 | 14 | normal | |
HuggingFaceFW/finepdfs-edu | none | 0.9236 | code | 0.0636 | null | [] | # 📚 FinePDFs-Edu
> 350B+ of highly educational tokens from PDFs 📄
## What is it?
📚 FinePDFs-Edu dataset consists of **350B+ tokens** of educational PDFs filtered from 📄 [FinePDFs](https://huggi... | 9,305 | 7,095 | normal |
Beetle-Data/BabyBabel-fra-66M | none | 0.4036 | biology | 0.399 | null | [] | 0 | 15 | normal | |
hinoarashi/eval_test2_smolvla-policy-v1_20251001-155531 | none | 0.9451 | code | 0.0505 | 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",
"... | 4,761 | 4 | normal |
lavita/medical-eval-sphere | medical | 0.8672 | none | 0.1261 | medical | [
"medical"
] | # 🤗 Medical Sphere
Welcome to the **Medical Sphere** dataset repository!
🏥 We're building the largest global community for evaluating AI models in healthcare.
🌐 Join us: https://medicalsphere.ai/
### Citation
```bibtex
@article{hosseini2024benchmark,
title={A Benchmark for Long-Form Medical Question Answering}... | 527 | 36 | normal |
Sraghvi/subset-0-final-fix-v2_1 | none | 0.7459 | code | 0.116 | null | [] | 0 | 6 | normal | |
mlnomad/imnet1k_beacon_lighthouse_beacon_light_pharos | none | 0.8757 | code | 0.0361 | null | [] | 0 | 4 | normal | |
Blaze7451/Wiki-zh-20250601 | none | 0.8275 | code | 0.1116 | null | [] | # Dataset Card for Wiki-zh-20250601
## Dataset Description
This dataset is derived from the Chinese‑Wikipedia dump dated **2025‑06‑01**, downloaded from [Wikimedia](https://dumps.wikimedia.org/zhwiki/20250601/).
Articles were extracted from the original `.xml.bz2` archive with Gensim and converted to Markdown fo... | 364 | 49 | normal |
mlfoundations-dev/openthoughts2_math_0.3k_eval_08c7 | none | 0.6569 | math | 0.3021 | null | [] | # mlfoundations-dev/openthoughts2_math_0.3k_eval_08c7
Precomputed model outputs for evaluation.
## Evaluation Results
### HMMT
- **Average Accuracy**: 6.67% ± 1.05%
- **Number of Runs**: 10
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 10.00% | ... | 539 | 5 | normal |
INSAIT-Institute/FireScope-Bench | climate | 0.989 | biology | 0.0056 | null | [
"wildfire",
"remote-sensing",
"geospatial",
"reasoning",
"CoT"
] | # FireScope-Bench dataset
This dataset accompanies the paper:
**FireScope: Wildfire Risk Prediction with a Chain-of-Thought Oracle**\
Accepted to **CVPR 2026**\
Paper: https://arxiv.org/abs/2511.17171
## File and Folder Description
### `climate_data.json`
Contains climate data for various coordinates.\
There is a ... | 3,416 | 9,611 | new_discovery |
HungVu2003/opt-350m_beta_1.0_alpha_0.0_num-company_2_dataset_0_for_gen_9_v2 | none | 0.866 | code | 0.07 | null | [] | 0 | 4 | normal | |
pt-eval/eval_qwen-4B2_5shot_3exp | none | 0.7972 | code | 0.0773 | null | [] | 0 | 12 | normal | |
nguyentn1410/Trend70000_90000 | none | 0.5703 | climate | 0.1606 | null | [] | 0 | 4 | normal | |
sachiniyer/code-symbol-linkage-cli-cli | code | 0.6804 | none | 0.1633 | null | [] | 0 | 7 | normal | |
french-datasets/ekazuki-text_to_french_parliament_group_beta | none | 0.6807 | legal | 0.1491 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données huggingface.co/datasets/ekazuki/text_to_french_parliament_group_beta. | 157 | 4 | normal |
hngchris/record-depth | none | 0.9253 | code | 0.0683 | 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",
"... | 4,855 | 25 | normal |
supergoose/flan_combined_task465_parsinlu_qqp_classification | none | 0.8162 | code | 0.0651 | null | [] | 0 | 3 | normal | |
kunduruanil/reuters_articles_anil_version | none | 0.4903 | cybersecurity | 0.0927 | null | [] | 0 | 4 | normal | |
1231czx/znosft_llama3_sft_math_dpo_type12_8ktype4_7ktype3_ver2_200tmp10_vllmexp | none | 0.7216 | math | 0.1745 | null | [] | 0 | 4 | normal | |
tmpmodelsave/beta01_70btype1_llama3sft_self2_math_sftloss_1100tmp10 | none | 0.6343 | chemistry | 0.1066 | null | [] | 0 | 3 | normal | |
Erland/rlaif-v-sample-non-processed | none | 0.6047 | climate | 0.1359 | null | [] | 0 | 26 | normal | |
eustlb/dumb-cv17-es_es_pseudo_labelled | none | 0.5333 | chemistry | 0.15 | null | [] | 0 | 6 | normal | |
oakwood/efe_r-6 | biology | 0.3671 | none | 0.2067 | null | [] | This dataset was created using [🤗 LeRobot](https://github.com/huggingface/lerobot). | 83 | 4 | normal |
SWE-Dev/SWE-bench_Verified_200 | none | 0.5338 | code | 0.1775 | null | [] | 0 | 6 | normal | |
AxonData/3d_cloth_face_mask_spoofing_dataset | cybersecurity | 0.9926 | none | 0.0067 | cybersecurity | [
"liveness detection",
"anti-spoofing",
"biometrics",
"facial recognition",
"machine learning",
"deep learning",
"AI",
"paper mask attack",
"iBeta certification",
"PAD attack",
"security",
"ibeta",
"face recognition",
"pad",
"authentication",
"fraud"
] | # Textile 3D Face Mask Attack Dataset
Cloth mask attack dataset for anti-spoofing and liveness detection — 3,000+ videos of elastic textile masks with printed faces on Samsung S23 and iPhone 14 Pro. ISO 30107-3 Level 2 attack category, iBeta Level 2 certification prep
## Overview
Cloth mask attack dataset for trainin... | 3,086 | 101 | normal |
deerfieldgreen/stk-technical-indicators-15min | none | 0.4776 | biology | 0.3598 | null | [] | 0 | 10 | normal | |
french-open-data/prime-de-partage-de-la-valeur-du-secteur-prive-par-an-par-departement-x-secteur-na17 | cybersecurity | 0.782 | none | 0.0998 | null | [
"departements",
"observatoire-eco-masse-salariale",
"observatoire-economique",
"ppv",
"prime-de-partage-de-la-valeur",
"dataset_for_agent"
] | # Prime de partage de la valeur du secteur privé par an, par département x secteur NA17
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Prime de partage de la valeur du secteur privé par an, par département x secteur NA17** qui est disponible à l'adres... | 3,180 | 11 | normal |
nurizz/indian_food_images | none | 0.5446 | biology | 0.1445 | null | [] | 0 | 7 | normal | |
chrisliu298/magpie-pro-standard | none | 0.4458 | chemistry | 0.1965 | null | [] | 0 | 21 | normal | |
HoangHa/fr_img_p4 | climate | 0.3615 | none | 0.307 | null | [] | 0 | 6 | boundary | |
jjpetrisko/authentiface_v2.0 | none | 0.351 | climate | 0.1798 | null | [] | 0 | 17 | normal | |
mteb/DanishPoliticalCommentsClassification | none | 0.7695 | legal | 0.163 | null | [
"mteb",
"text"
] | <!-- adapted from https://github.com/huggingface/huggingface_hub/blob/v0.30.2/src/huggingface_hub/templates/datasetcard_template.md -->
<div align="center" style="padding: 40px 20px; background-color: white; border-radius: 12px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); max-width: 600px; margin: 0 auto;">
<h1 styl... | 5,718 | 376 | normal |
GeniusJunP/moving_card_etc_merged_20260127 | none | 0.8855 | code | 0.1113 | 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"... | 4,389 | 19 | normal |
insightpublica/ilm-gundert | none | 0.978 | code | 0.0095 | null | [
"malayalam",
"lexicon",
"gundert",
"classical-malayalam",
"nlp"
] | # ILM-Gundert — Gundert Dictionary Subset
**Hermann Gundert's Malayalam–English Dictionary (1872) — Machine-Readable Edition**
Developed by [Insight Publica](https://www.insightpublica.com), Kozhikode, Kerala
Part of the [ILM — Insight Language Machine](https://huggingface.co/datasets/insightpublica/ilm) project
... | 4,265 | 27 | normal |
Matt1208/Remove_Green_Circle | none | 0.8963 | code | 0.0669 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # Remove_Green_Circle
**This dataset was generated using a [phospho starter pack](https://robots.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 and RLDS. | 311 | 7 | normal |
Grievous-Robot/table-sweep-slowmo-right-arm-merged | none | 0.8925 | code | 0.1034 | 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",
"... | 3,579 | 37 | normal |
supergoose/buzz_sources_133_bitbake | none | 0.6107 | code | 0.1044 | null | [] | 0 | 4 | normal |
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