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 |
|---|---|---|---|---|---|---|---|---|---|---|
vanguard-huggingface/yeosoo_dataset | none | 0.7778 | code | 0.0535 | null | [] | 0 | 5 | normal | |
hbXNov/lavida-reason-data | none | 0.4943 | chemistry | 0.2945 | null | [] | Images can be downloaded from https://huggingface.co/datasets/TIGER-Lab/ViRL39K/blob/main/images.zip | 100 | 29 | normal |
PictoViLT/CG_L3_img_T | climate | 0.3981 | none | 0.2436 | null | [] | 0 | 14 | normal | |
Lots-of-LoRAs/task801_pawsx_german_english_translation | none | 0.9718 | code | 0.0123 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task801_pawsx_german_english_translation
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066
- ... | 2,315 | 10 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_043e7fdd-c15f-494d-ac0c-82a35986ed03 | none | 0.6251 | code | 0.1312 | null | [] | 0 | 3 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_124af013-6ff6-404b-86c7-ee99cb59b8ab | none | 0.5572 | code | 0.1753 | null | [] | 0 | 3 | normal | |
pdf2dataset/232055bdcb0a71d022be056a4bb5b94c | none | 0.5844 | biology | 0.1137 | null | [] | 0 | 2 | normal | |
RedaAlami/PKU-SafeRLHF-Filtered-Split-1-rho-0.5-phi-0.5 | none | 0.34 | chemistry | 0.3045 | null | [] | 0 | 3 | normal | |
mlfoundations-dev/nemo_nano_1000k_eval_2e29 | none | 0.9387 | code | 0.0574 | null | [] | # mlfoundations-dev/nemo_nano_1000k_eval_2e29
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces | AIME25 | HLE | LiveCodeBenchv5 |
|--------|------|-----|-------|-------|--------|-... | 4,077 | 4 | normal |
beyoru/kafka-voice-en | none | 0.4721 | climate | 0.0965 | null | [] | 0 | 5 | normal | |
agmsb/gem-diabetes | none | 0.4998 | biology | 0.2426 | null | [] | 0 | 3 | normal | |
MUN-TACK/Precedent_case_a | legal | 0.5246 | none | 0.2225 | null | [] | 0 | 4 | normal | |
ferrazzipietro/Qwen3-32B-outputs-len16128-2026-03-1004-05-18-509188-ReasoningGenerator | none | 0.7797 | code | 0.1342 | null | [] | 0 | 13 | normal | |
ykorkmaz/aloha_play_dataset_part_2 | none | 0.9305 | code | 0.0655 | 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",
"... | 5,585 | 36 | normal |
tonyassi/revolve1-embeddings-xy | none | 0.4982 | code | 0.1334 | null | [] | 0 | 7 | normal | |
agi-noobs/chess-sft-10m-stockfish | none | 0.8373 | code | 0.0876 | null | [] | 0 | 7 | normal | |
nycu-ai113-dl-final-project/TurtleBench-extended-zh | none | 0.2908 | math | 0.2271 | null | [] | # 海龜湯數據集（中文）
本數據集包含中文的海龜湯謎題，用於逆向思維遊戲。
## 數據集簡介
本數據集基於 [Duguce/TurtleBench1.5k](https://huggingface.co/datasets/Duguce/TurtleBench1.5k) 擴展而來，旨在為 **Turtle-soup Game** 提供高質量的推理數據。數據涵蓋多種高難度推理情境，支持 **中文** 與 **英文** 兩種語言，並結合多種擴增方法提升多樣性與邏輯性。
## 數據來源
- 原始數據集來自 Hugging Face，授權於 **Apache License 2.0**。
- 擴增後數據集由翻譯、標註、基準題庫及模型... | 1,773 | 7 | normal |
igor-freik/stsbenchmark-sts_300 | none | 0.5605 | chemistry | 0.1876 | null | [] | 0 | 5 | normal | |
Boanerges/multisource-esco-set | none | 0.8962 | code | 0.0797 | null | [
"nlp",
"esco",
"skills",
"text-extraction",
"dataset"
] | # MultiSource-ESCO-Skills: A Unified Dataset for Skill Extraction
This dataset aggregates data from multiple sources—course descriptions, CV content, and job descriptions—all linked to ESCO skills. It is designed to help researchers and practitioners develop and fine-tune NLP models (e.g., BERT or SentenceTransformer-... | 2,210 | 24 | normal |
mlfoundations-dev/b2_code_fasttext_pos_ioi_neg_sql_1k_eval_636d | none | 0.6962 | code | 0.2996 | null | [] | # mlfoundations-dev/b2_code_fasttext_pos_ioi_neg_sql_1k_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|--... | 3,018 | 8 | normal |
introvoyz041/the_couples_psychotherapy_treatment_planner | none | 0.5577 | chemistry | 0.1258 | null | [] | 0 | 3 | normal | |
mlfoundations-dev/all_filtered_unverified_pdfs_pipeline | none | 0.7259 | chemistry | 0.0722 | null | [] | 0 | 5 | normal | |
jxiao986/pairrm-lima-preferences | none | 0.4372 | climate | 0.1314 | null | [] | 0 | 4 | normal | |
Mughaira/yourbench-hr-example | none | 0.4386 | code | 0.2495 | null | [] | 0 | 28 | normal | |
tmpmodelsave/HanningZhang_Llama3-sft-less-corr-rr60k-3ep_resettmp10_vllmexp2 | none | 0.6842 | code | 0.1211 | null | [] | 0 | 3 | normal | |
123ad1/my_custom__processed_full | none | 0.4457 | code | 0.2775 | null | [
"vqasynth",
"remyx"
] | 0 | 4 | normal | |
sumukshashidhar-archive/arxiv-metadata-dataset | none | 0.4485 | climate | 0.1544 | null | [] | 0 | 14 | normal | |
IAlsace/lexique_auto | none | 0.6499 | cybersecurity | 0.1674 | null | [] | > [!NOTE]
> Dataset origin: https://www.olcalsace.org/fr/petit-lexique-francais-alsacien-de-l-automobile-s-auto
## Description
Texte et traduction élaborés par Jean-Jacques WEHRUNG avec le concours de Robert MAZERAND.
Thèmes abordés : Mécanique, environnement routier, incidents, outillage, sport automobile | 317 | 5 | normal |
Xamxl/abc-def-0_2pct-400-reg-mix | none | 0.5713 | code | 0.295 | null | [] | 0 | 5 | normal | |
mpasila/4chan-sharegpt-5k-sample-16k-context | none | 0.9907 | code | 0.0039 | null | [
"4chan"
] | Data is taken from [adamo1139/4chan_archive_ShareGPT_fixed_newlines_unfiltered](https://huggingface.co/datasets/adamo1139/4chan_archive_ShareGPT_fixed_newlines_unfiltered) with these filters:
1. Each conversation has a minimum of 20 responses.
2. No empty values.
3. Max length is 16k tokens based on [unsloth/Ministral... | 1,066 | 19 | normal |
felixZzz/32b_len16k_custom_teacher_response-5 | none | 0.5248 | code | 0.2644 | null | [] | 0 | 4 | normal | |
Nithish2410/scidocs_colbert_pgtr_golden | none | 0.6939 | chemistry | 0.1116 | null | [] | 0 | 34 | normal | |
zsqzz/wildguard-adversarial-harmful-3k | none | 0.822 | code | 0.0504 | null | [] | 0 | 4 | normal | |
AndrisWillow/pile-lmsys-mix-1m-Llama3.2_chat_format | none | 0.6968 | code | 0.1251 | null | [] | 0 | 3 | normal | |
Bradley/fineweb-edu-over-20k-tokens | none | 0.7729 | code | 0.1042 | null | [] | 0 | 12 | normal | |
sxj1215/nlvr_sorted | none | 0.4273 | climate | 0.164 | null | [] | 0 | 3 | normal | |
ContextualAI/LFQA_eval_dataset_unit_tests_justification | none | 0.6106 | code | 0.1113 | null | [] | 0 | 5 | normal | |
gaozj/hans_move_cube | none | 0.8852 | code | 0.1094 | null | [
"teleop",
"panda"
] | 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"... | 3,606 | 44 | normal |
omnineura/llm_studio_1121 | none | 0.3682 | chemistry | 0.178 | null | [] | 0 | 2 | normal | |
Lux1997/Tool-REX-Queries | none | 0.3786 | math | 0.1823 | null | [] | 0 | 144 | normal | |
datasets-maintainers/test-smart-update | none | 0.5979 | legal | 0.2321 | null | [] | This is a test dataset with an image !
test line
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test l... | 389 | 19 | normal |
Sakshamrzt/IndicNLP-Punjabi | none | 0.3988 | code | 0.12 | null | [] | 0 | 17 | normal | |
open-llm-leaderboard-old/details_InferenceIllusionist__Excalibur-7B | none | 0.9676 | code | 0.0228 | null | [] | # Dataset Card for Evaluation run of InferenceIllusionist/Excalibur-7b
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [InferenceIllusionist/Excalibur-7b](https://huggingface.co/InferenceIllusionist/Excalibur-7b) on the [Open LLM Leaderboard](https://h... | 19,308 | 35 | normal |
kothasuhas/multi-gold-37M-ctx16-e1-N8.00M-mix4-iter4-accum | none | 0.6535 | chemistry | 0.1514 | null | [] | 0 | 4 | normal | |
phospho-ai/OrangeBrick3Cameras | none | 0.8746 | code | 0.1179 | 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": "v2.0",
"... | 4,379 | 23 | normal |
textcleanlm/textclean-20M | none | 0.6848 | code | 0.1122 | null | [] | 0 | 44 | normal | |
open-llm-leaderboard-old/details_ycros__BagelMIsteryTour-v2-8x7B | none | 0.9532 | biology | 0.0222 | null | [] | # Dataset Card for Evaluation run of ycros/BagelMIsteryTour-v2-8x7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [ycros/BagelMIsteryTour-v2-8x7B](https://huggingface.co/ycros/BagelMIsteryTour-v2-8x7B) on the [Open LLM Leaderboard](https://huggingfac... | 19,184 | 6 | normal |
kothasuhas/llama-3b-gold-15M-student-generations_SNIS_1024_errm_N150.00K | none | 0.9656 | math | 0.0082 | null | [] | 0 | 5 | normal | |
victorambrose11/normalized_scotus | none | 0.5945 | code | 0.0901 | null | [] | 0 | 8 | normal | |
marcov/cbt_CN_promptsource | none | 0.4408 | code | 0.1945 | null | [] | 0 | 3 | normal | |
jinaai/hindi-gov-vqa_deprecated | legal | 0.794 | none | 0.1424 | null | [] | # Hindi Government VQA
This dataset was created from public government documents in Hindi. Queries are generated with Qwen2b. The `text_description` column contains OCR text extracted from the images using EasyOCR.
# Disclaimer
This dataset may contain publicly available images or text data. All data is provided for... | 890 | 4 | normal |
Caplin43/humanoid-navigation-dataset | none | 0.9735 | climate | 0.0079 | null | [
"robotics",
"humanoid",
"navigation",
"obstacle-avoidance"
] | # Humanoid Navigation Dataset
Dataset for humanoid navigation and obstacle avoidance training.
## Columns
- direction
- obstacle_distance
- movement_speed
- action | 165 | 18 | normal |
TheFactoryX/edition_1751_ryanmarten-OpenThoughts-1k-sample-readymade | none | 0.9821 | code | 0.0162 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1751_ryanmarten-OpenThoughts-1k-sample-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[ryanmarten/OpenThoughts-1k-sample](https://huggingface.co/datasets/ryanmarten/OpenThoughts-1k-sample)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objec... | 981 | 6 | normal |
open-llm-leaderboard-old/details_weezywitasneezy__BenchmarkEngineering-7B-slerp | none | 0.9515 | biology | 0.0294 | null | [] | # Dataset Card for Evaluation run of weezywitasneezy/BenchmarkEngineering-7B-slerp
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [weezywitasneezy/BenchmarkEngineering-7B-slerp](https://huggingface.co/weezywitasneezy/BenchmarkEngineering-7B-slerp) on ... | 19,395 | 23 | normal |
open-llm-leaderboard-old/details_wang7776__Llama-2-7b-chat-hf-20-attention-sparsity | none | 0.9736 | code | 0.0142 | null | [] | # Dataset Card for Evaluation run of wang7776/Llama-2-7b-chat-hf-20-attention-sparsity
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [wang7776/Llama-2-7b-chat-hf-20-attention-sparsity](https://huggingface.co/wang7776/Llama-2-7b-chat-hf-20-attention-s... | 19,385 | 6 | normal |
Northy1717/SWE-bench-Live | code | 0.9858 | none | 0.0096 | null | [] | <p align="center">
<a href="http://swe-bench.github.io">
<img src="assets/banner.png" style="height: 10em" alt="swe-bench-live" />
</a>
</p>
<p align="center">
<em>A brand-new, continuously updated SWE-bench-like dataset powered by an automated curation pipeline.</em>
</p>
---
**For the official data relea... | 2,772 | 53 | new_discovery |
danielrosehill/System-Prompt-Library-030825 | code | 0.4214 | none | 0.3635 | null | [
"system-prompts",
"ai-agents",
"prompt-engineering",
"conversational-ai",
"llm",
"chatgpt"
] | # System Prompts Dataset - August 2025
**Point-in-time export from Daniel Rosehill's system prompt library as of August 3rd, 2025**
## Overview
This repository contains a comprehensive collection of 944 system prompts designed for various AI applications, agent workflows, and conversational AI systems. While many of... | 3,875 | 14 | boundary |
aferikoglou/GNWSIS | code | 0.9013 | none | 0.0485 | null | [
"FPGA",
"HLS"
] | # Dataset Card for GNΩSIS
## Dataset Details
### Dataset Description
GNΩSIS is an open-source HLS dataset, containing more than 220K design points generated from prominent benchmark suites and public repositories.
The dataset covers two Xilinx/AMD FPGAs with varying resource characteristics and three clock frequenci... | 2,427 | 83 | new_discovery |
yourbench/reproduction_qwen235b_physics | chemistry | 0.4998 | none | 0.288 | null | [] | 0 | 9 | normal | |
mlfoundations-dev/o4-mini-2025-04-16_eval_68b3 | none | 0.8936 | code | 0.103 | null | [] | # o4-mini-2025-04-16 Evaluation Results
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | MATH500 | LiveBench | GPQADiamond | CodeForces | CodeElo | MMLUPro | JEEBench | LiveCodeBenchv5 | LiveCodeBench | AIME25 | AIME24 | AMC23 | HLE |
|--------| -------|---------|-----------|--... | 4,138 | 4 | normal |
nguyentn1410/Consumer_smr | none | 0.3476 | chemistry | 0.1218 | null | [] | 0 | 5 | normal | |
bhoopesh32/medical_llama3_instruct_dataset_short | none | 0.4262 | medical | 0.2224 | null | [] | 0 | 3 | normal | |
behavior-in-the-wild/SDR-Bench | none | 0.7683 | medical | 0.0699 | null | [
"personalization",
"b2b-sales",
"deep-research",
"agent-evaluation"
] | # SDR-Bench: A Benchmark for Sales Development Representative Agents
This dataset contains **6,279** verified business success stories from various corporate domains.
It was curated for the SDR-Bench paper.
This dataset serves as a benchmark for evaluating AI agents on their ability to conduct deep research and gener... | 1,510 | 33 | normal |
MikeGreen2710/tho_cu_merged_old_new_01_10_pddvt_sanitized_tkn_ner_address_1_final_12000000_to_13000000 | none | 0.977 | code | 0.0086 | null | [] | 0 | 5 | normal | |
Shaman286/jarvis-ultra-dataset | none | 0.6982 | code | 0.0713 | null | [] | 0 | 6 | normal | |
Asap7772/arc-agi-mixed-max4096-impabs-dpo-lr1e-7-beta0.01-16samp-rerun-flat-abs-6of32 | none | 0.9677 | climate | 0.0111 | null | [] | 0 | 6 | normal | |
cijerezg/pick-place-task-merged_12 | none | 0.8968 | code | 0.0989 | 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",
"... | 4,214 | 5 | normal |
Lyric1010/ablation_openmathinstruct_thinking | chemistry | 0.4723 | math | 0.246 | null | [
"text",
"pretraining"
] | # Dataset: ablation_openmathinstruct_thinking
This dataset was uploaded from `/mnt/yulan_pretrain/mount/data_final_train/ablation_openmathinstruct_thinking/stage_1/tmp/`. | 171 | 113 | normal |
hamishivi/rlenv-wordle-nothink | none | 0.636 | code | 0.0794 | null | [] | 0 | 85 | normal | |
trivitaai/safety_dataset | medical | 0.89 | none | 0.0994 | medical | [
"medical",
"safety",
"vietnamese",
"healthcare",
"content-moderation",
"ai-safety"
] | # Vietnamese Unified Safety Dataset for MedVita
## Dataset Description
**Vietnamese Unified Safety Dataset** is a comprehensive dataset for safety classification designed for MedVita, a Vietnamese medical chatbot. This dataset was created to train and evaluate the ability to recognize and handle unsafe, inappropriate... | 7,829 | 26 | normal |
reasoning-proj/exp_rob_dfiltered_logic_DeepSeek-R1-Distill-Qwen-14B_mneutral_insert_random_characters_t30 | none | 0.4601 | math | 0.2797 | null | [] | 0 | 5 | normal | |
BarryFutureman/vox2_3D_ditto_combined_shard_17 | none | 0.5633 | chemistry | 0.1252 | null | [] | 0 | 4 | normal | |
mlnomad/imnet1k_ant_emmet_pismire | none | 0.6196 | chemistry | 0.0992 | null | [] | 0 | 4 | normal | |
adriencleme/openstax_split_noformula | none | 0.5571 | chemistry | 0.1216 | null | [] | 0 | 3 | normal | |
nagbisafae/repo | none | 0.345 | chemistry | 0.1408 | null | [] | 0 | 4 | normal | |
Tim1123/final_algorithm7 | none | 0.4827 | code | 0.1995 | null | [] | 0 | 4 | normal | |
nduque/cam_setup2 | none | 0.9222 | code | 0.0723 | 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",
"... | 3,586 | 4 | normal |
chmadran/so100_dataset08 | none | 0.9377 | code | 0.0563 | 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",
"... | 3,586 | 38 | normal |
iktaniyalol/sailormoon-dataset | none | 0.9108 | code | 0.0628 | null | [] | Used dataset: https://huggingface.co/datasets/BangumiBase/sailormoon1990s
Tags generated by DeepDanbooru model (https://github.com/KichangKim/DeepDanbooru)
Used <= 100 images per each class in dataset (see link above) | 219 | 2 | normal |
Multi-Audio-Grounding/Dysarthria_Detection | none | 0.5836 | code | 0.0911 | null | [] | 0 | 57 | normal | |
chomeed/anubis_real2sim_rot | none | 0.88 | code | 0.1135 | 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",
"... | 6,014 | 8 | normal |
igon90/mejores-hipotecas-2025 | none | 0.861 | biology | 0.1133 | finance | [
"finance"
] | **Fuente**: https://www.finect.com/articulos/mejores-hipotecas
**Autor**: Finect
**Licencia**: CC-BY-NC 4.0 | 111 | 5 | tag_disagree |
leobianco/ragtruth_autorater | none | 0.4893 | chemistry | 0.1308 | null | [] | 0 | 7 | normal | |
taiki-ishii/record-06-perfect | none | 0.9271 | code | 0.0692 | 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 | 44 | normal |
sergiov2000/eval_act_so100_movella_pick_c2 | none | 0.9361 | code | 0.06 | 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 | 30 | normal |
Luongdzung/680_physics_exams_dataset_seed_44 | none | 0.8343 | code | 0.05 | null | [] | 0 | 5 | normal | |
jeromecondere/bank-chat | none | 0.3768 | chemistry | 0.1768 | null | [] | 0 | 8 | normal | |
french-datasets/Panoramax-fr_road_sign_subsign | none | 0.8918 | cybersecurity | 0.0535 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données huggingface.co/datasets/Panoramax/fr_road_sign_subsign. | 143 | 4 | normal |
Doub7e/MJ-pokemon-style | none | 0.7162 | code | 0.103 | null | [] | 0 | 4 | normal | |
Aakalpa/test_dataset | finance | 0.3717 | none | 0.3306 | 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 | 6 | boundary |
shimazukosen/eval__so101_act_policy_airhockey_1224_ep9 | none | 0.952 | code | 0.0441 | 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"... | 3,076 | 8 | normal |
ClarusC64/aviation-pilot-vehicle-adaptive-intervention-and-recovery-mapping-v0.1 | none | 0.8619 | medical | 0.1292 | null | [
"clarusc64",
"aviation",
"flight-safety",
"human-machine",
"adaptive-control",
"crew-alerting"
] | What this dataset tests
Whether a system can turn loop decoherence
into stabilizing action under time pressure.
It must estimate:
risk
recovery window
best adaptive intervention
expected post-action stability.
Required outputs
- loss_of_control_risk
- recovery_window_seconds
- recommended_adaptive_actio... | 589 | 14 | normal |
nickfuryavg/Kathbath-Audio-44100-Batch-67 | none | 0.699 | code | 0.1671 | null | [] | 0 | 3 | normal | |
dgambettaphd/D_gen4_run1_llama2-7b_sciabs_doc1000_real32_synt96_vuw | none | 0.6543 | chemistry | 0.1858 | null | [] | 0 | 4 | normal | |
PsyMatrix/cls_amazonreviewspolarity2013_ReviewsummaryVsReviewscore__BaseClothing | none | 0.4841 | finance | 0.2454 | 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 | 2 | normal |
stefanocarrera/autophagycode_D_metrics_he_Qwen3-8B_lr0.0001_text_g6 | none | 0.738 | code | 0.1071 | null | [] | 0 | 6 | normal | |
alexlegeartis/riw | none | 0.3533 | chemistry | 0.1243 | null | [] | 0 | 4 | normal | |
helena-balabin/vg-captions-graphs | none | 0.4382 | climate | 0.1296 | null | [] | 0 | 14 | normal | |
various-and-sundry/so-101-good-random-2026-03-13 | none | 0.993 | code | 0.0042 | null | [] | # long_good
Task: good_domino_random_paths
Generated by single_arm_camera_recorder_and_classifier.py
## Layout
- `data/episode_NNN.parquet` — one file per episode
- `videos/episode_NNN.mp4` — one video per episode
- `meta/stats.json` — running scalar statistics
## Parquet columns
| Column | Type | Descr... | 653 | 27 | normal |
PranavBhalerao/cam_assess_sample | none | 0.5132 | code | 0.0965 | null | [] | 0 | 4 | normal |
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