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 |
|---|---|---|---|---|---|---|---|---|---|---|
yiyic/mt_ms_test_lang_id | none | 0.4818 | finance | 0.1507 | null | [] | 0 | 2 | normal | |
DCAgent2/terminal_bench_2_rl_rl_conf_qwen_8b_ll_lr1e_5_bs64_yaml_mode_path_r2eg_nl2b_stab3b297f3 | code | 0.8058 | none | 0.1559 | null | [] | 0 | 21 | new_discovery | |
TheFactoryX/edition_0654_lavita-medical-qa-shared-task-v1-toy-readymade | medical | 0.6428 | none | 0.3388 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0654_lavita-medical-qa-shared-task-v1-toy-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[lavita/medical-qa-shared-task-v1-toy](https://huggingface.co/datasets/lavita/medical-qa-shared-task-v1-toy)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking every... | 990 | 5 | normal |
kkyzl/FlowVQA-RAG | none | 0.2701 | chemistry | 0.193 | null | [] | 0 | 5 | normal | |
YYYYYYibo/ultrafeedback_binarized_imp_sam_minpi_2_part_3 | none | 0.9906 | biology | 0.0037 | null | [] | # Dataset Card for "ultrafeedback_binarized_imp_sam_minpi_2_part_3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 200 | 4 | normal |
datacomp/ImageNetTraining10.0-frac-1over64 | none | 0.6603 | code | 0.2655 | null | [] | Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | 96 | 33 | normal |
achiepatricia/han-long-term-recall-benchmarks-v1 | none | 0.8632 | cybersecurity | 0.0761 | null | [
"humanoid",
"memory",
"recall",
"benchmarking",
"ai"
] | # Humanoid Long-Term Recall Benchmarks
This dataset evaluates how effectively
humanoid agents retrieve stored knowledge
after extended operation.
## Contents
- Memory age
- Recall accuracy
- Retrieval latency
## Use Cases
- Memory durability testing
- Cognitive performance evaluation
- System optimization
## Part o... | 360 | 11 | normal |
eunjuri/strong | none | 0.9341 | code | 0.0598 | 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",
"... | 4,689 | 9 | normal |
stojchet/java-jk4-jsft8-empty | code | 0.4557 | none | 0.1988 | null | [] | 0 | 2 | normal | |
onsba/yyyy | none | 0.3175 | climate | 0.1589 | null | [] | 0 | 5 | normal | |
Mgmgrand420/github-code | code | 0.9986 | none | 0.001 | null | [] | # GitHub Code Dataset
## Dataset Description
The GitHub Code dataset consists of 115M code files from GitHub in 32 programming languages with 60 extensions totaling in 1TB of data. The dataset was created from the public GitHub dataset on Google BiqQuery.
### How to use it
The GitHub Code dataset is a very large dat... | 7,246 | 60 | new_discovery |
french-datasets/michsethowusu_french-central_atlas_tamazight_sentence-pairs | none | 0.9839 | cybersecurity | 0.0066 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [michsethowusu/french-central_atlas_tamazight_sentence-pairs](https://huggingface.co/datasets/michsethowusu/french-central_atlas_tamazight_sentence-pairs). | 243 | 3 | normal |
deu05232/promptriever-ours-v8_2-omission | none | 0.6844 | code | 0.0958 | null | [] | 0 | 10 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_d5d5c9f6-f486-4f1d-afe9-1f990995940b | none | 0.6195 | code | 0.1911 | null | [] | 0 | 3 | normal | |
french-open-data/secteurs-des-bureaux-de-vote-de-la-commune-de-chassieu | none | 0.4949 | legal | 0.4097 | null | [
"dataset_for_agent"
] | # Secteurs des bureaux de vote de la commune de Chassieu
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Secteurs des bureaux de vote de la commune de Chassieu** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/66170d8361cb462377405514
#... | 754 | 7 | normal |
dgambettaphd/D_mis_run2_gen1_WXS_doc1000_synt64_lr1e-04_acm_LANG | none | 0.6744 | code | 0.1658 | null | [] | 0 | 5 | normal | |
raniero/sn96g-nvidia-cuda-2chunk1-20250919_193141 | none | 0.801 | code | 0.1102 | null | [] | # Subnet 96 — Clean Q/A Dataset
**Format:** one JSONL per line:
```json
{"system": null, "conversations":[{"role":"user","content":"..."}, {"role":"assistant","content":"..."}]}
```
- **Total pairs:** 2
- **Avg answer length (tokens):** 24.5 (median 24.5, min 23, max 26)
- **Schema errors:** 0 (should be 0)
- **File ... | 571 | 5 | normal |
dgambettaphd/D_gmm2_gen3_run0_W_doc1000_synt64_MPP | none | 0.7176 | code | 0.167 | null | [] | 0 | 5 | normal | |
akanksha8618/polymer-names | none | 0.3919 | chemistry | 0.2598 | null | [] | 0 | 3 | normal | |
XAT928/dataset_ethereum_6year | none | 0.3736 | climate | 0.2134 | null | [] | 0 | 3 | normal | |
jihuny/llama_nec_10k_sky_active_mgopt_a10_l1e2 | none | 0.4895 | medical | 0.2345 | null | [] | 0 | 8 | normal | |
Reo10/test21 | none | 0.9404 | code | 0.0541 | 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",
"... | 2,948 | 9 | normal |
eunjuri/sponge_weak_test_full | none | 0.9343 | code | 0.0602 | 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",
"... | 17,155 | 62 | normal |
zhaoziyuan78/Known-to-Unknown-SQuADv2 | none | 0.5204 | biology | 0.1064 | null | [] | 0 | 10 | normal | |
MLbackup/Synthetic_Data | none | 0.5835 | chemistry | 0.1593 | null | [
"art"
] | Author of said synthetic data has been retiring from generative AI, and this is not a SCRAPE -- it's what's left from the more recent models, and while for posterity they are keeping a copy..
This is under FAIR USE NONCOMMERCIAL at the behest of the original author of the images, if you're using this to train do not p... | 357 | 8 | normal |
RonanMcGovern/qwen3-tts-eval-test | none | 0.5703 | code | 0.2782 | null | [] | 0 | 14 | normal | |
christianjoppi/MovingFashion | none | 0.8777 | code | 0.0662 | null | [] | # MovingFashion Dataset
**MovingFashion** is the first publicly available benchmark designed to address the **video-to-shop** challenge in computer vision, where the goal is to retrieve fashion items worn in social media videos (e.g., Instagram, TikTok) by matching them to corresponding e-commerce product images.
[**... | 1,911 | 39 | normal |
pontusnorman123/sroie_dataset2 | none | 0.485 | code | 0.0944 | null | [] | 0 | 4 | normal | |
ArturG9/LT_Constitution_Summaries | legal | 0.9985 | none | 0.001 | null | [
"Constitution",
"Law",
"Lithuania",
"Articles",
"Summaries"
] | # Lithuanian Constitution Article Summaries Dataset
This dataset contains machine-generated summaries of articles from the Constitution of the Republic of Lithuania. It was created to support legal text summarization and analysis tasks in the Lithuanian language using large language models.
## 📑 Dataset Overview
Th... | 2,076 | 15 | new_discovery |
yuxuanw8/imdb_sft-test_lm-gpt2-large-imdb-chipo-1ep-rmax-8820-seed-42_42_250_504 | none | 0.7777 | code | 0.1597 | null | [] | 0 | 4 | normal | |
emnab/LeonSKennedy | none | 0.453 | biology | 0.1824 | null | [] | 0 | 2 | normal | |
electricsheepafrica/nigerian_education_teacher_training | none | 0.972 | medical | 0.0086 | null | [
"nigeria",
"education",
"waec",
"jamb",
"teachers-and-workforce"
] | # Nigeria Education – Teacher Training
## Dataset Description
Synthetic Teachers & Workforce data for Nigeria education sector.
**Category**: Teachers & Workforce
**Rows**: 100,000
**Format**: CSV, Parquet
**License**: MIT
**Synthetic**: Yes (generated using reference data from WAEC, JAMB, UBEC, NBS, UNESCO)... | 4,037 | 20 | normal |
mengdili/Marco-Pruned_math_test_8192_normal_K-1 | math | 0.5976 | none | 0.1898 | null | [] | 0 | 4 | normal | |
FrancophonIA/Ministry_Development_Funds_Regional_Policy | none | 0.7889 | legal | 0.1158 | null | [] | > [!NOTE]
> Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/19454
## Description
A collection of parallel PL-EN, EN-DE, EN-ES, EN-FR texts extracted from the documents delivered by the Ministry of Development Funds and Regional Policy (MFiPR).
Sentence-level alignment of translation segm... | 815 | 9 | normal |
mlfoundations-dev/d1_science_multiple_languages_1k | none | 0.5382 | chemistry | 0.3524 | null | [] | 0 | 4 | normal | |
Adith1/record-test-realsense2301 | none | 0.9364 | code | 0.059 | 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",
"... | 2,950 | 5 | normal |
Sirawipa/test_pregnant | none | 0.4858 | biology | 0.2355 | null | [] | 0 | 4 | normal | |
dgonier/ipda-debate-sft-iter3 | none | 0.3976 | chemistry | 0.1502 | null | [] | 0 | 9 | normal | |
jaewon040/iPhone360 | none | 0.959 | code | 0.0201 | null | [
"3d-reconstruction",
"dynamic-scenes",
"gaussian-splatting",
"novel-view-synthesis",
"360-degree"
] | # iPhone360 Dataset
iPhone360 is a benchmark dataset for 360° reconstruction of dynamic objects from monocular video, introduced in the paper:
> **4DGS360: 360° Gaussian Reconstruction of Dynamic Objects from a Single Video**
> Jae Won Jang, Yeonjin Chang, Wonsik Shin, Juhwan Cho, Nojun Kwak
> [Project Page](https://... | 1,768 | 25 | normal |
ohgnues/temp | none | 0.3453 | climate | 0.1872 | null | [] | 0 | 60 | normal | |
LouisXO/sql-injection-clean | code | 0.4756 | none | 0.1609 | null | [] | 0 | 7 | normal | |
jackmoul2024/svla_so101_pickplace | none | 0.9418 | code | 0.0536 | 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",
"... | 3,574 | 28 | normal |
Neel-Gupta/minipile-processed_384 | none | 0.4951 | climate | 0.1795 | null | [] | 0 | 3 | normal | |
evalplus/mbppplus | none | 0.4456 | code | 0.1802 | null | [] | 0 | 13,318 | normal | |
mlfoundations-dev/multiple_samples_auto_verification_seed_code | code | 0.393 | none | 0.3665 | null | [] | 0 | 5 | boundary | |
DCAgent2/swebench_verified_random_100_folders_r2egym_nl2bash_stack_bugsseq_fixthink_agai2342e14f | none | 0.8255 | code | 0.0958 | null | [] | 0 | 20 | normal | |
SayantanJoker/tts-rj-hi-karya-44100hz-part-37 | none | 0.7237 | code | 0.1562 | null | [] | 0 | 3 | normal | |
extralit-dev/test_import_dataset_from_hub_with_classlabel_39b4b889-b600-4431-bd8b-626afbb52b3f | none | 0.7205 | code | 0.0768 | null | [] | 0 | 4 | normal | |
french-open-data/departements-de-metropole-concernes-par-le-couvre-feu-sanitaire-du-23-10-2020 | none | 0.9087 | biology | 0.0564 | null | [
"couvre-feu",
"covid",
"covid19",
"departements",
"dataset_for_agent"
] | # Départements de Métropole concernés par le couvre-feu sanitaire du 23/10/2020
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Départements de Métropole concernés par le couvre-feu sanitaire du 23/10/2020** qui est disponible à l'adresse https://www.dat... | 1,691 | 7 | normal |
ambean/HELPMed | medical | 0.9765 | none | 0.0206 | medical | [
"medical"
] | <h2 align="center">
<p>Clinical knowledge in LLMs does not translate to human interactions</p>
</h2>
This repository contains the data for the paper 'Clinical knowledge in LLMs does not translate to human interactions'. The paper is available on ArXiv: https://arxiv.org/abs/2504.18919.
![image/png](https://cdn-uploa... | 3,132 | 39 | normal |
nouhad/multiplication_train_2x10 | none | 0.8081 | math | 0.1519 | null | [] | # Multiplication Dataset - multiplication_train_2x10
This dataset contains multiplication problems for numbers up to 15x15.
## Dataset Format
- `messages`: User question and assistant answer.
- `ground_truth`: Correct multiplication result.
- `dataset`: "multiplication"
## Hugging Face Dataset Link
➡️ [View dataset... | 403 | 4 | normal |
hirundo-io/unqover-religion-bias | none | 0.7181 | medical | 0.0618 | null | [] | 0 | 3 | normal | |
triple4t/my-distiset-be899639 | none | 0.9086 | code | 0.0717 | null | [
"distilabel",
"rlaif",
"datacraft"
] | <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 my-distiset-be899639
This dataset has been crea... | 1,692 | 5 | normal |
stojchet/python-sft_dpo-empty | none | 0.2901 | code | 0.271 | null | [] | 0 | 1 | normal | |
sunorme/Chinese-Classics-Partial | none | 0.6471 | math | 0.1447 | null | [
"classics"
] | 偶然找到的 200 多篇古籍相关的**纯 txt 文件**，简单洗了一下，去除了部分噪声和空白行。
一篇样例如下：
```
古训《增广贤文》
昔时贤文，诲汝谆谆，集韵增文，多见多闻。
观今宜鉴古，无古不成今。
知己知彼，将心比心。
酒逢知己饮，诗向会人吟。
相识满天下，知心能几人。
相逢好似初相识，到老终无怨恨心。
近水知鱼性，近山识鸟音。
易涨易退山溪水，易反易覆小人心。
运去金成铁，时来铁似金，读书须用意，一字值千金。
``` | 219 | 6 | normal |
giovannidemuri/alpacaGPT4_llama8b-v127-jb-seed27-alpaca_512_ngt0.7_tp0.9 | none | 0.6462 | code | 0.2282 | null | [] | 0 | 6 | normal | |
mzizo4110/cnn-dailymail-final-preprocessed | none | 0.5656 | code | 0.1116 | null | [] | 0 | 4 | normal | |
martinaianaro99/SC_ViLT_L3_F | chemistry | 0.4598 | biology | 0.2454 | null | [] | 0 | 7 | normal | |
TIMBER-Lab/mmlu_generate_stem_TIMBER-Lab__f0.0r0.1e0.0-320 | none | 0.6416 | climate | 0.1234 | null | [] | 0 | 3 | normal | |
sanjayuzu/finance_train9 | finance | 0.8945 | none | 0.0689 | null | [] | # Dataset Card for "finance_train9"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 168 | 22 | new_discovery |
sachithgunasekara/phased-self-discover-mistral-structured-0-shot-t4d-eval | none | 0.8613 | code | 0.0551 | null | [] | 0 | 5 | normal | |
yaneivan/Pari_Chekhov_merged | none | 0.453 | code | 0.1103 | null | [] | 0 | 4 | normal | |
beeneptune/speech_commands | none | 0.9922 | code | 0.0028 | null | [] | --> This is an exact copy of google/speech_commands adapted to be usable with recent datasets 🤗 versions (no remote code). <--
# Dataset Card for SpeechCommands
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Su... | 9,295 | 136 | normal |
oordonez/eval_bone_to_pick_color_variation | none | 0.9868 | code | 0.0084 | 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",
"... | 5,207 | 12 | normal |
TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT10k_Ours-SFT__v1 | none | 0.7561 | code | 0.1892 | null | [] | # Experiment Tracker: FinEval_16k_fulleval_OT10k_Ours-SFT
**Experiment Description:** Simple test experiment for Skill Factory workflows.
**Start Time:** 2025-11-18T17:57:30.119916
**Tracker Dataset:** [TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT10k_Ours-SFT__v1](https://huggingface.co/datasets/TAUR-dev/D-ExpTrac... | 2,823 | 4 | normal |
oabai/morocco_tourism_darija | none | 0.9611 | legal | 0.0162 | null | [
"touriste",
"morocco",
"maroc",
"darija"
] | # 🇲🇦 Moroccan Tourism Darija Dialogues (`maroc_tourism_darja`)
**Repository** | `datasets/maroc_tourism_darja`
**Size** | 1 000 dialogues (≈ 14 k turns)
**Language** | Darija (Moroccan Arabic)
**Topics** | Transport · Accommodation · Culture · Gastronomy
**License** | CC‑BY‑4.0
**Format** | JSONL (one dial... | 3,654 | 25 | normal |
xiegeo/uspto-mol | chemistry | 0.9978 | biology | 0.0008 | null | [] | # An intermediate dataset for US molecular patent grants
Retrieves patent grant data from USPTO weekly releases `bulkdata.uspto.gov/data/patent/grant/redbook/{year}` and keeps only patents with `.mol` files for downstream data mining use cases.
Compared to existing work such as [https://github.com/learningmatter-mit/... | 3,338 | 257 | new_discovery |
connections-dev/res_gptoss20b_original_1_reason_None_0.7_8192_Olmo-3_1-32B-Th_s700_e-1 | none | 0.8069 | code | 0.1387 | null | [] | 0 | 11 | normal | |
cybershiptrooper/sleeper_agent_dataset_thinking_models_em | none | 0.7707 | code | 0.1032 | null | [] | 0 | 8 | normal | |
claran/wikitext-2-nonulls-sample-v2 | none | 0.6646 | chemistry | 0.0919 | null | [] | 0 | 11 | normal | |
gokulp01/so100_teleop_80s_20260206_182851 | none | 0.9552 | code | 0.0407 | 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",
"... | 2,278 | 10 | normal |
hanbin5/my_first_record | none | 0.9507 | code | 0.0448 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=hanbin5/my_first_record">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.s... | 4,178 | 44 | normal |
electricsheepafrica/health-worker-distribution-medical-doctors-for-african-countries | medical | 0.7311 | none | 0.2501 | null | [] | ---
license: apache-2.0
tags:
- africa
- sustainable-development-goals
- world-health-organization
- development
---
# Health worker distribution (%) - Medical doctors
## Dataset Description
This dataset provides country-level data for the indicator **"3.c.1 Health worker distribution (%) - Medical doctors"** ac... | 1,078 | 4 | normal |
bnarin/so100_tic_tac_toe_move_2_0 | none | 0.9324 | code | 0.0646 | null | [
"so100",
"tutorial",
"seeed_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": "v2.0",
"... | 3,581 | 12 | normal |
DCAgent2/dev_set_v2_Qwen3_32B_R2EGYM_256_3epochs_20260318_054229 | none | 0.5369 | biology | 0.3519 | null | [] | 0 | 7 | normal | |
team4/8dretna_daridja | none | 0.601 | code | 0.0745 | null | [] | 0 | 4 | normal | |
Winboy/twitter_dataset_1718255485 | none | 0.5425 | biology | 0.1344 | null | [] | 0 | 3 | normal | |
npvinHnivqn/llm-test-dataset | none | 0.3763 | chemistry | 0.2479 | null | [] | 0 | 6 | normal | |
FiveC/za-zh-rd-zh | none | 0.4784 | chemistry | 0.1238 | null | [] | 0 | 11 | normal | |
carlesoctav/27b-generated-Dolci-Instruct-SFT-No-Tools-instruct-only | code | 0.8431 | none | 0.1118 | null | [] | 0 | 7 | new_discovery | |
itisarainyday/2k_conso_questions_v6 | none | 0.5313 | math | 0.1673 | null | [] | 0 | 3 | normal | |
asfilcnx3/clean-embedding-movies | none | 0.7964 | code | 0.0693 | null | [] | 0 | 5 | normal | |
AbderrahmanSkiredj1/fadel_test_short_sentences | none | 0.8364 | finance | 0.1146 | null | [] | # Dataset Card for "fadel_test_short_sentences"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 180 | 8 | normal |
mteb/CMU_Arctic_a2t | climate | 0.6065 | biology | 0.3392 | null | [] | 0 | 24 | normal | |
zjhhhh/Qwen7b_multi_rlcfweights_iter1_0 | none | 0.4058 | chemistry | 0.2327 | null | [] | 0 | 4 | normal | |
guilhermebastos96/my_dataset | none | 0.949 | code | 0.0287 | null | [] | # Dataset Card for "my_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 164 | 4 | normal |
slowturtle99/so100_pick_place_blocks | none | 0.9083 | code | 0.0874 | 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": "v2.1",
"... | 3,579 | 13 | normal |
beyoru/synthetic_text_to_sql_filter | none | 0.5761 | code | 0.1376 | null | [] | 0 | 8 | normal | |
zionzionzion/MultiInteract-Bench | none | 0.713 | code | 0.2383 | null | [
"web-interaction",
"multimodal",
"llm-evaluation",
"vue.js",
"frontend"
] | # MultiInteract-Bench Dataset
<div align="center">
**A Benchmark Dataset for Evaluating Web Interaction Reconstruction from Image Sequences**
[](https://huggingface.co/datasets/zionzionzion/MultiInteract-Bench)
[![Python 3.8+](https:/... | 6,032 | 9 | normal |
kuzheren/geometry-dash-retro-levels | none | 0.8679 | code | 0.0393 | null | [] | Fork of https://huggingface.co/datasets/yusp48/geometry-dash-levels.
Contains only retro levels with id < 11000000.
Use my gdparse library: pip install gdparse | 160 | 13 | normal |
sjleslie/random_agreement_7_bins_long_70 | none | 0.6253 | climate | 0.1854 | null | [] | 0 | 5 | normal | |
magicslabnu/OpenR1-Math-220k-split | math | 0.6318 | chemistry | 0.1879 | null | [] | 0 | 17 | normal | |
mlnomad/imnet1k_plow_plough | none | 0.5438 | climate | 0.1461 | null | [] | 0 | 4 | normal | |
nbalepur/open-llm-benchmark-subset | none | 0.651 | chemistry | 0.0862 | null | [] | 0 | 6 | normal | |
ahmetipekci10/Delphi7 | none | 0.4152 | code | 0.1268 | null | [] | 0 | 3 | normal | |
nbaron99/so100_pick_and_place4 | none | 0.9182 | code | 0.0779 | 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",
"... | 3,588 | 22 | normal |
Lenkashell/unsafe_hate_image_captions | none | 0.9726 | code | 0.0117 | null | [] | # Dataset Card for "unsafe_hate_image_captions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 180 | 32 | normal |
TheFactoryX/edition_0917_cornell-movie-review-data-rotten_tomatoes-readymade | none | 0.9937 | code | 0.0044 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0917_cornell-movie-review-data-rotten_tomatoes-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[cornell-movie-review-data/rotten_tomatoes](https://huggingface.co/datasets/cornell-movie-review-data/rotten_tomatoes)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept ... | 1,005 | 5 | normal |
kjngansgfa/dataset_bat42023 | none | 0.3932 | chemistry | 0.1036 | null | [] | 0 | 4 | normal | |
graf/DeepScaleR-Preview-Dataset.4096.ancestral.64.Qwen2.5-Math-1.5B-Instruct.resampling.1.0 | none | 0.5631 | code | 0.1732 | null | [] | 0 | 4 | normal |
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