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 |
|---|---|---|---|---|---|---|---|---|---|---|
Bretagne/Glossaire_jeux_de_plateau | biology | 0.4204 | none | 0.2839 | null | [] | > [!NOTE]
> Dataset origin: https://www.fr.brezhoneg.bzh/49-lexiques.htm | 72 | 16 | boundary |
IEMaster/worldedit_color_v1_visualize_1120 | none | 0.5422 | climate | 0.2609 | null | [] | 0 | 3 | normal | |
Appz7/Mistral_MOE_2k | none | 0.4653 | math | 0.1261 | null | [] | 0 | 4 | normal | |
shiv96/convsersations_evil_llama3.2-1B-it_large | none | 0.7769 | code | 0.1154 | null | [] | 0 | 11 | normal | |
SkillFactory-dev/OT_Ref_NoV13Part___openthoughts__1200000_end1400000__reflection_chunk_118 | code | 0.7192 | none | 0.2222 | null | [] | 0 | 4 | normal | |
rpzhou/record-test-new | none | 0.9466 | code | 0.0476 | 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",
"... | 2,949 | 8 | normal |
SKNahin/llm-inf-backdoor-2 | none | 0.6763 | code | 0.1178 | null | [] | 0 | 4 | normal | |
samritsingh/invitees | none | 0.3432 | chemistry | 0.1145 | null | [] | 0 | 10 | normal | |
HowieHwong/HHAlignment | none | 0.3037 | climate | 0.1577 | null | [] | 0 | 16 | normal | |
ntatuyet1965/Picture | none | 0.2762 | climate | 0.2012 | chemistry | [
"art",
"chemistry"
] | 0 | 7 | tag_disagree | |
NinaCalvi/M0train_chunk_1to4eval5to8_incorrect_with_critique_improvement_mode | none | 0.84 | code | 0.0952 | null | [] | 0 | 4 | normal | |
blankbuffoon/wb-reviews-5mln | none | 0.6284 | code | 0.1135 | null | [
"marketplaces"
] | 0 | 5 | normal | |
thelabel/image-labelling-dataset | none | 0.6406 | chemistry | 0.1106 | null | [] | 0 | 6 | normal | |
vosap52/humanoid-basic-security-check-tr-v1 | cybersecurity | 0.6451 | none | 0.3234 | null | [] | Basic home security monitoring dataset.
Description
Indoor entry-point checking and simple security system interactions.
Task Description
Teaches humanoid robots to monitor doors and windows, activate alarm systems and report basic security status inside indoor environments. | 279 | 15 | normal |
HungVu2003/opt-350m_beta_1.0_alpha_0.6_num-company_3_dataset_1_for_gen_4 | none | 0.8933 | biology | 0.0326 | null | [] | 0 | 4 | normal | |
SatsukiVie/FusionAudio | none | 0.4356 | code | 0.1261 | null | [] | 0 | 204 | normal | |
bukoi/sim_rl_01 | none | 0.9268 | code | 0.0633 | 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",
"... | 3,782 | 16 | normal |
tommywu052/unity_dataset | none | 0.9058 | code | 0.0628 | null | [
"phosphobot",
"so100",
"phospho-dk1"
] | # unity_dataset
**This dataset was generated using a [phospho dev kit](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. | 296 | 59 | normal |
AirsideLabs/NOTAM | none | 0.3041 | climate | 0.1579 | null | [] | 0 | 11 | normal | |
jjaehyeok2/12_4_25 | none | 0.4475 | code | 0.1032 | null | [] | 0 | 4 | normal | |
smartgmin/Entrenal_eyes_5clasess_withOther | none | 0.3706 | climate | 0.3335 | null | [] | 0 | 4 | normal | |
DCAgent2/terminal_bench_2_rl_rl_conf_24GP_base_yaml_mode_path_r2eg_nl2b_stac_bugs_fixt_td8658888 | code | 0.783 | none | 0.1497 | null | [] | 0 | 16 | normal | |
sghosts/culturax-corpus | none | 0.5402 | biology | 0.1224 | null | [] | 0 | 4 | normal | |
radenmuaz/masabih.org | none | 0.4198 | biology | 0.307 | null | [] | Mishkat al-Masabih from masabih.org
Scraping code:
https://github.com/mesolitica/malaysian-dataset/blob/master/crawl/masabih.org/scrape_mishkat_al_masabih.py | 158 | 5 | normal |
Tanapolcx/humanoid-training-dataset | none | 0.9316 | code | 0.0367 | null | [] | # Humanoid Training Dataset
This dataset is created for humanoid robot training and simulation tasks.
It is intended to support AI research, robotics learning, and humanoid behavior modeling. | 192 | 7 | normal |
fbeawels/oms-appmod | none | 0.3624 | code | 0.1469 | null | [] | 0 | 4 | normal | |
g0kul6/gpt4o_po_filter_oxford_flowers | none | 0.5138 | climate | 0.176 | null | [] | 0 | 7 | normal | |
Crownelius/GLM-5.0-25000x-formatted | none | 0.8865 | code | 0.1036 | null | [] | [[<img src="https://huggingface.co/crownelius/Crow-9B-Opus-4.6-Distill-Heretic_Qwen3.5/resolve/main/banner.png" width="350"/>](https://ko-fi.com/abcuo)](https://ko-fi.com/abcuo)
# GLM-5.0-25000x (TeichAI Format)
Formatted to match `TeichAI/claude-4.5-opus-high-reasoning-250x` format.
## Source
- **Original**: `crown... | 1,085 | 95 | normal |
svjack/Day_if_sentient_beings_SPLITED_XIAO_adult_CARD_1_kenburns_videos | none | 0.9232 | code | 0.0394 | null | [] | 
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/634df... | 367 | 4 | normal |
dthung/med-fact-check-embbeded-db | none | 0.4803 | legal | 0.1813 | null | [] | 0 | 7 | normal | |
theblackcat102/ADL_Final_25W_part1 | none | 0.4708 | climate | 0.1352 | null | [] | 0 | 7 | normal | |
Vimax97/product-captioned-dataset-synthetic_marble | none | 0.4167 | chemistry | 0.3773 | null | [] | 0 | 4 | normal | |
juliadollis/trad_ai_medical_chatbot_11900_12900_INFERENCIA_inferido_phi-4-bnb-4bit | none | 0.7603 | code | 0.0994 | null | [] | 0 | 914 | normal | |
hf-future-backdoors/OpenHermes-paraphrased-headlines-2017-2019-eval-set | none | 0.9526 | code | 0.0156 | null | [] | 0 | 5 | normal | |
cross-ling-know/HarryPotter-Quiz | none | 0.5519 | cybersecurity | 0.3055 | null | [] | # Dataset Card for "HarryPotter-Quiz"
Harry Potter Quiz (or HP-Quiz in short) is a manually collected dataset based on information about characters and magic spells from the [Harry Potter Wiki pages](https://harrypotter.fandom.com/wiki/Main_Page). For characters, we gather attributes such as gender, hair color, house,... | 3,260 | 41 | normal |
ankile/nutsquare-paired-auto-v2-r12 | none | 0.9618 | code | 0.024 | 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",
"... | 5,871 | 12 | normal |
neelabh17/new_news_exploded_prompt_n_20_d_perc_20_num_gen_10_Qwen2.5-14B-Instruct_no_mcq | none | 0.9734 | code | 0.0176 | null | [] | 0 | 4 | normal | |
Pullo-Africa-Protagonist/fula100by50 | biology | 0.6373 | none | 0.2809 | null | [] | 0 | 4 | normal | |
DCAgent2/DCAgent2_terminal_bench_2_laion_exp_tas_optimal_combined_traces_tm1x_20260309_155137 | none | 0.4695 | code | 0.4384 | null | [] | 0 | 15 | normal | |
gijs/audiocaps | none | 0.3194 | chemistry | 0.2107 | null | [] | 0 | 12 | normal | |
test-gen/code_mbpp_qwen2.5-3b_t1.0_n8_tests_mbpp_o3_t0_n1 | code | 0.6893 | none | 0.2849 | null | [] | 0 | 5 | normal | |
tiagoviott/fl | none | 0.358 | biology | 0.2197 | null | [] | 0 | 4 | normal | |
japanese-asr/en2ja.s2t_translation | none | 0.5544 | biology | 0.0811 | null | [] | 0 | 11 | normal | |
OALL/details_abhishek__autotrain-llama3-70b-orpo-v1 | none | 0.9728 | code | 0.0233 | null | [] | # Dataset Card for Evaluation run of abhishek/autotrain-llama3-70b-orpo-v1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [abhishek/autotrain-llama3-70b-orpo-v1](https://huggingface.co/abhishek/autotrain-llama3-70b-orpo-v1).
The dataset is composed o... | 24,784 | 5 | normal |
PushkarA07/app2016-13-P1_Jul5 | none | 0.5802 | climate | 0.1283 | null | [] | 0 | 5 | normal | |
TUD-DCC/test_dataset_template | none | 0.9324 | code | 0.0297 | null | [] | # Dataset Card Creation Guide
## Table of Contents
- [Dataset Card Creation Guide](#dataset-card-creation-guide)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboar... | 12,729 | 8 | normal |
tenzintridhe/combined_programming_data | none | 0.5447 | code | 0.1684 | null | [] | 0 | 4 | normal | |
msmandelbrot/test_realsense | none | 0.8956 | code | 0.0991 | 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",
"... | 3,834 | 131 | normal |
amiguel/translations | none | 0.5954 | code | 0.0966 | null | [] | 0 | 23 | normal | |
ClarusC64/autonomous-driving-driver-state-manifold-estimation-v0.1 | none | 0.9716 | medical | 0.0203 | null | [
"clarusc64",
"autonomous-driving",
"driver-state",
"cabin-sensing",
"human-in-the-loop"
] | What this dataset tests
Whether a system can infer driver state
from cabin signals and driving context.
The output is a state manifold vector.
Not a single label.
Required outputs
- driver_state_label
- fatigue_score
- distraction_score
- agitation_score
- confidence_estimate
- state_transition_risk
Sc... | 698 | 10 | normal |
gshasiri/smoltalk2-preference-filtered-8k | none | 0.5052 | code | 0.1326 | null | [] | 0 | 17 | normal | |
kevin5414/humanoid-dataset-1768379343-1 | none | 0.9833 | code | 0.013 | null | [
"robotics",
"humanoid"
] | # Humanoid Motion Dataset
Auto-generated dataset for training humanoid robots. | 79 | 6 | normal |
plaguss/math-shepherd-expand-format | none | 0.8464 | math | 0.1268 | 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 math-shepherd-expand-format
This dataset has be... | 5,360 | 8 | normal |
abun12/abun-text-dataset-v42 | none | 0.9661 | code | 0.0238 | null | [] | This is a simple text dataset created for learning and testing purposes on Hugging Face.
| 91 | 4 | normal |
rlawltjd/Ventilation_time_prediction | biology | 0.4478 | none | 0.2671 | null | [] | # 데이터 명세서
이 문서는 데이터셋의 각 컬럼에 대한 정의와 용도를 설명합니다.
이 데이터셋은 과거 2시간 및 현재(t-2, t-1, t)의 데이터를 기반으로 미래 3시간(t+1, t+2, t+3) 후의 초미세먼지(PM25) 농도를 예측하도록 설계되었습니다.
## 1. Y: 종속 변수
모델이 최종적으로 예측해야 하는 값들입니다.
|컬럼명|설명|단위|
|-----------------|--------------------|-----|
|PM25_t_plus_1|(Target 1) 현재(t) 시점으로부터 1시간 뒤의 PM25 농도|µg/m³|
... | 1,726 | 7 | normal |
davidsilva824/test-tema-dataset | none | 0.5679 | climate | 0.0985 | null | [] | 0 | 6 | normal | |
mlfoundations-dev/reasoning_shard_26 | none | 0.5012 | chemistry | 0.1688 | null | [] | 0 | 4 | normal | |
TheFactoryX/edition_2697_jxcai-scale-hle-public-questions-readymade | none | 0.9885 | code | 0.0107 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2697_jxcai-scale-hle-public-questions-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[jxcai-scale/hle-public-questions](https://huggingface.co/datasets/jxcai-scale/hle-public-questions)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects ... | 978 | 247 | normal |
luxxandfuxx/Wan2GP | none | 0.4633 | chemistry | 0.1371 | null | [] | 0 | 203 | normal | |
wellness10/test_rag_validation | none | 0.4107 | climate | 0.2078 | null | [] | 0 | 3 | normal | |
Kota0612/AgentA1-punch_1_birch_log | none | 0.9254 | code | 0.0459 | null | [
"robonet",
"AgentA1",
"Punch 1 birch_log"
] | # AgentA1 — Punch 1 birch_log
Robot episode dataset uploaded via [RoboNet](https://www.robonet.com).
## Dataset Info
| Field | Value |
|-------|-------|
| Robot | `AgentA1` |
| Task | `Punch 1 birch_log` |
| Episodes | 1 |
| Format | LeRobot |
## Usage with LeRobot
```python
from lerobot.common.datasets.lerobot_da... | 779 | 9 | normal |
sjleslie/bootstrap_agreement_long_45 | none | 0.5052 | chemistry | 0.2014 | null | [] | 0 | 6 | normal | |
yuzc19/dclm_rephrased_4o | none | 0.3845 | chemistry | 0.3813 | null | [] | 0 | 4 | normal | |
mlfoundations-dev/b2_math_embedding_10k | chemistry | 0.3799 | math | 0.3697 | null | [] | 0 | 5 | boundary | |
CanisAI/teach-math-v1 | math | 0.9759 | none | 0.019 | math | [
"canis-teach",
"education",
"tutoring",
"math",
"conversational"
] | # Canis.teach Math Dataset
Simple synthetic dataset for training Math tutoring models.
- **Project**: Canis.teach - Learning that fits.
- **Subject**: Math
- **Generated with**: [Canis.lab](https://github.com/crasyK/Canis.lab)
- **Format**: Simple ID:content pairs
## Dataset Structure
```json
{
"id": "unique_iden... | 1,086 | 45 | normal |
samihormi/singapore_unlearn_dataset | none | 0.6002 | climate | 0.0846 | null | [] | 0 | 9 | normal | |
eitans-pu/appellate-coding-input | none | 0.4856 | code | 0.3197 | null | [] | 0 | 17 | normal | |
sergiov2000/eval_act_so100_movella_push_e3 | none | 0.9357 | code | 0.0609 | null | [
"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": "v2.1",
"... | 3,584 | 8 | normal |
Reih02/deception_obfuscation_qwen35_397b_behavioral_v3_iter2 | none | 0.7429 | code | 0.0959 | null | [] | 0 | 11 | normal | |
Ofiroz91/so100_test_init | none | 0.9291 | code | 0.0651 | null | [
"so100",
"tutorial",
"bimanual",
"test"
] | 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",
"... | 4,058 | 127 | normal |
PsyMatrix/cls_amazonreviewspolarity2013_ReviewtextVsReviewscore__BaseAutomotive | none | 0.4799 | finance | 0.2437 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## D... | 4,360 | 3 | normal |
kowndinya23/flan2022-4096-1840-tasks-gc-50000-instances-gc | none | 0.9845 | code | 0.0118 | null | [] | # Dataset Card for "flan2022-4096-1840-tasks-gc-50000-instances-gc"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 200 | 5 | normal |
juanmoisesdelas/research-hub-de | none | 0.8636 | cybersecurity | 0.0607 | null | [
"open-data",
"research",
"latin-america",
"juan-moises-de-la-serna"
] | # research-hub-de
**Mirror:** [github.com/juanmoisesd/research-hub-de](https://github.com/juanmoisesd/research-hub-de)
**Author:** Juan Moisés de la Serna Tuya · ORCID: [0000-0002-8401-8018](https://orcid.org/0000-0002-8401-8018)
# research-hub-de
[](ht... | 2,674 | 4 | normal |
DCAgent2/DCAgent_dev_set_v2_DCAgent2_GLM-4_6-nl2bash-verified-32eps-32k-fixeps_20260302_023332 | none | 0.7681 | code | 0.1354 | null | [] | 0 | 15 | normal | |
anasmkh/hotel_customer_service | none | 0.6113 | climate | 0.1053 | null | [] | 0 | 3 | normal | |
TamilThagaval/Pathupattu-Pattinapalai | none | 0.5767 | legal | 0.3055 | null | [
"art"
] | ### 🌊 பட்டினப்பாலை (Pattinappālai) Dataset
பட்டினப்பாலை (Pattinappālai) is one of the Pathupattu (பத்துப்பாட்டு / Ten Idylls) in Sangam Literature, the ancient Tamil corpus.
It is a long poem of 301 lines, traditionally attributed to poet Uruttirankannanar (உருத்திரங்கண்ணனார்).
The poem provides vivid descriptions ... | 2,714 | 13 | normal |
orionweller/cc_en_middle_mds_incremental | none | 0.6346 | chemistry | 0.099 | null | [] | 0 | 12 | normal | |
NinaCalvi/M0train_chunk_1to3eval4to6_correct_refine | none | 0.6184 | code | 0.1108 | null | [] | 0 | 8 | normal | |
Dicomsky/eval_lerobot_grasp_box | none | 0.9022 | code | 0.0892 | 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",
"... | 2,860 | 9 | normal |
Phudish/pepsi-2021-10k-8192-without-year-thinking-1-with-untrained-cartridge | none | 0.9775 | code | 0.008 | null | [
"continual-cartridges",
"self-study-synthesis"
] | # Dataset: Phudish/pepsi-2021-10k-8192-without-year-thinking-1-with-untrained-cartridge
## Usage
```python
from datasets import load_dataset
ds = load_dataset("Phudish/pepsi-2021-10k-8192-without-year-thinking-1-with-untrained-cartridge")
``` | 243 | 19 | normal |
mahabharat/OWASP | cybersecurity | 0.7897 | code | 0.1071 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for owasp web attacks. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
... | 1,110 | 31 | normal |
FINNUMBER/FINCH_TEST | none | 0.3007 | code | 0.1766 | null | [] | 0 | 2 | normal | |
OmerKuru/canias_erp | none | 0.612 | code | 0.0886 | null | [] | 0 | 6 | normal | |
HongchengGao/HiddenTextImages-Train | none | 0.4809 | code | 0.1367 | null | [] | 0 | 12 | normal | |
reinhardh/wi_generate_fasttext_training | none | 0.6926 | code | 0.1203 | null | [] | 0 | 6 | normal | |
MisDrifter/xiangsi_zjhhhh__qwen2.5_3B_Instruct_fixed_criteria_1e3_step_70_final | none | 0.7559 | climate | 0.0555 | null | [] | 0 | 5 | normal | |
FaalSa/cluster7 | none | 0.3281 | climate | 0.2424 | null | [] | 0 | 3 | normal | |
agi123/optima_restore_ha_kto | none | 0.6013 | code | 0.0994 | null | [] | 0 | 8 | normal | |
binhpham/driving-dataset | none | 0.9141 | code | 0.0494 | null | [
"rc-car",
"self-driving",
"imitation-learning"
] | # RC Car Self-Driving Dataset
A LeRobot v3.0 dataset for training imitation learning policies on an RC car. Recorded via a remote operator interface over LiveKit, with a single front-facing camera and keyboard controls.
## Dataset Details
| Property | Value |
|---|---|
| Robot | RC car |
| FPS | 30 |
| Episodes | 10... | 1,098 | 38 | normal |
williamhtan/indonesiaku-contrib | none | 0.9731 | code | 0.0174 | null | [] | # Indonesiaku Contributions Dataset
## Dataset Description
The **Indonesiaku Contributions** dataset contains user-submitted translations collected via the [Indonesiaku platform](http://indonesiaku.com/data). It aims to support language learning, translation research, and the development of multilingual models by pro... | 4,072 | 6 | normal |
motorfireman1/finetuning_demo28 | none | 0.6387 | code | 0.1262 | null | [] | 0 | 3 | normal | |
PhysArena/PDEBench_2D_DarcyFlow_beta10.0 | none | 0.7924 | chemistry | 0.1053 | null | [
"physics learning",
"geometry learning"
] | ```yaml
legal:
owner: Takamoto, M et al. (https://darus.uni-stuttgart.de/dataset.xhtml?persistentId=doi:10.18419/darus-2986)
license: cc-by-4.0
data_production:
physics: 2D Darcy Flow
type: simulation
script: Converted to PLAID format for standardized usage; no changes to data content.
num_samples:
train: 1... | 3,328 | 15 | normal |
jskim/record-grab-merged-01-04 | none | 0.9111 | code | 0.0842 | 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 | 20 | normal |
AdleBens/keyboard_recording | none | 0.8356 | code | 0.153 | null | [
"phosphobot",
"so100",
"phospho-dk1"
] | # keyboard_recording
**This dataset was generated using a [phospho dev kit](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. | 301 | 8 | normal |
Negev900/controlnet_color_grid_5000 | none | 0.4788 | climate | 0.2251 | null | [] | 0 | 12 | normal | |
La-Mousse/JADE-17-01-2025 | legal | 0.9948 | none | 0.0035 | legal | [
"legal",
"french-law",
"administrative-court",
"judicial-decisions"
] | # French Administrative Court Decisions Dataset (JADE)
## Dataset Description
The French Administrative Court Decisions Dataset (JADE) is a comprehensive collection of judicial decisions from French administrative courts. This dataset contains decisions from various administrative jurisdictions, providing a valuable ... | 1,648 | 51 | normal |
pigeoncj/day1-sample-training | none | 0.4574 | climate | 0.2448 | null | [] | 0 | 0 | normal | |
mats-10-sprint-cs-jb/five-cot-faith-scruples | none | 0.7944 | legal | 0.1664 | null | [
"chain-of-thought",
"monitoring",
"faithfulness",
"sycophancy"
] | # five-CoT-faith: Scruples
Part of the [five-CoT-faith](https://github.com/your-repo) benchmark for evaluating CoT faithfulness monitors.
## Task
Given a moral reasoning scenario from the [Scruples](https://github.com/allenai/scruples) dataset,
predict whether the model's response is **sycophantic** — i.e., whether ... | 1,020 | 15 | normal |
UE-CESE/role-des-organisations-de-la-societe-civile-dans-lintegration-des-migrants-et-des-refugies | legal | 0.5014 | cybersecurity | 0.4048 | null | [] | > [!NOTE]
> Dataset origin: https://www.eesc.europa.eu/fr/our-work/publications-other-work/publications/projet-sur-le-role-des-organisations-de-la-societe-civile-dans-lintegration-des-migrants-et-des-refugies
## Description
Rapport de mission – Suède – 21-22 octobre 2019
Groupe d’étude sur l’immigration et l’intégrati... | 1,051 | 20 | boundary |
cfpark00/toy-multistep-v5-10 | none | 0.7219 | climate | 0.0629 | null | [] | 0 | 6 | normal |
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