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 |
|---|---|---|---|---|---|---|---|---|---|---|
french-open-data/asus-notebook-x1504vap | cybersecurity | 0.8758 | none | 0.0888 | null | [
"dataset_for_agent"
] | # ASUS Notebook X1504VAP
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **ASUS Notebook X1504VAP** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/68492ac0000d679cb1efba13
## Description
This dataset provides the repairability index sco... | 1,359 | 6 | new_discovery |
pawlo2013/chest_xray_dataset_2_class | none | 0.3463 | chemistry | 0.1798 | null | [] | 0 | 8 | normal | |
agentlans/high-quality-text | none | 0.7324 | biology | 0.2291 | null | [
"pretraining",
"language modelling"
] | # High Quality Text Dataset
A curated collection of English-language texts for AI training and research.
### Sources
- [HuggingFaceFW/fineweb-edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu)
- [openbmb/Ultra-FineWeb](https://huggingface.co/datasets/openbmb/Ultra-FineWeb)
- [Zyphra/Zyda-2](https://h... | 2,519 | 39 | normal |
FiscaAI/chop-alpha-embeddings | none | 0.5984 | climate | 0.1257 | null | [] | 0 | 6 | normal | |
mandipgoswami/rir-mega-speech | none | 0.9326 | finance | 0.0152 | null | [
"speech",
"reverberation",
"room-impulse-response",
"acoustics",
"asr",
"whisper",
"reproducibility"
] | # RIR-Mega-Speech
## Dataset Summary
RIR-Mega-Speech is a large-scale reverberant speech corpus created by convolving LibriSpeech utterances with simulated room impulse responses (RIRs sampled from the **RIR-Mega** collection). Each reverberant utterance includes per-file acoustic metadata computed from the source RIR... | 4,784 | 28,488 | normal |
HHS-Official/nchs-percent-distribution-of-births-to-unmarried-w | medical | 0.5874 | none | 0.3731 | null | [
"hhs",
"cdc",
"age",
"births",
"nchs",
"nonmarital"
] | # NCHS - Percent Distribution of Births to Unmarried Women by Age Group: United States
## Description
This dataset includes percent distribution of births to unmarried women by age group in the United States since 1970.
Methods for collecting information on marital status changed over the reporting period and have b... | 1,465 | 9 | normal |
kartikey-codes/ocr_sample | none | 0.5461 | code | 0.1245 | null | [] | 0 | 5 | normal | |
oz1115/sample-dataset | none | 0.931 | legal | 0.0178 | null | [] | # 📝 데이터셋 카드 예시
## 기본 정보
- **데이터셋 이름**: Sample Korean-English Dataset
- **버전**: 1.0
- **제작자**: ssanta
- **공개 일자**: 2025-09-28
## 수집 과정
- 수집 방법: 수작업 샘플 생성
- 크롤링/전처리: 없음
## 라이선스
- CC-BY 4.0
## 데이터 통계
- 문서 수: 3
- 평균 문장 길이: 21.00 토큰
- 언어 분포: 한국어 33%, 영어 67%
## 잠재적 편향/한계
- 인위적으로 구성된 작은 샘플 → 실제 분포 반영하지 않음
- 특정 도메인 학습에는 ... | 374 | 5 | normal |
hrhraj/act_dice_dataset_25514 | none | 0.9205 | code | 0.076 | null | [
"so100",
"act"
] | 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",
"... | 2,941 | 284 | normal |
LucasMagnana/aactext_text | none | 0.4714 | climate | 0.1079 | null | [] | 0 | 13 | normal | |
Kundyzka/KCSD | none | 0.557 | code | 0.2668 | null | [
"IT",
"computer",
"CS"
] | Kazakh Computer Science Dataset is a comprehensive resource developed to support question-answering systems, educational tools, and information retrieval tasks in the Kazakh language. This dataset contains 10,000 entries, covering fundamental computer science topics such as algorithms, data structures, programming lang... | 808 | 26 | normal |
pclucas14/narrative_qa_rag_3_16 | none | 0.6632 | biology | 0.0982 | null | [] | 0 | 3 | normal | |
GitBag/multiturn_1_2_h | code | 0.413 | none | 0.1796 | null | [] | 0 | 5 | normal | |
JW17/WildguardMix-non-ad-45k-Q3-1.7B | none | 0.7069 | biology | 0.2119 | null | [] | 0 | 3 | normal | |
super-pingouin/arxiv-stem-abstracts | none | 0.4614 | chemistry | 0.1998 | null | [] | 0 | 5 | normal | |
marcelbinz/wu2018generalisation | none | 0.4241 | biology | 0.1351 | null | [] | 0 | 9 | normal | |
DCAgent2/swebench_verified_random_100_folders_sft_r2egym_nl2bash_stackoverflow_inferredbc39d5e2d | none | 0.7996 | code | 0.1516 | null | [] | 0 | 8 | normal | |
itai-z/record-test | none | 0.937 | code | 0.0574 | 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",
"... | 2,309 | 11 | normal |
KhandualA/SO101-Shakehand-project | none | 0.6294 | code | 0.0872 | null | [] | 0 | 11 | normal | |
EricCRX/books-tabular-dataset | none | 0.9613 | code | 0.0146 | null | [] | ---
language: en
tags:
- tabular
- education
- books
task_categories:
- tabular-classification
---
# 📄 Model Card: Books Tabular Dataset
## 1. Purpose
This dataset was created for educational purposes in the context of Homework 1 (*Dealing with Data*). The goal is to provide a small but structured **tabular dataset*... | 3,829 | 42 | normal |
rabhishek100/eval_act_so100_test_real2_1 | none | 0.9164 | code | 0.0801 | null | [
"so100",
"tutorial",
"eval"
] | 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 | 18 | normal |
AIR-Bench/qa_news_zh | none | 0.9196 | cybersecurity | 0.0281 | null | [] | Available Versions:
- AIR-Bench_24.04
- Task / Domain / Language: qa / news / zh
- Available Datasets (Dataset Name: Splits):
- default: test
- AIR-Bench_24.05
- Task / Domain / Language: qa / news / zh
- Available Datasets (Dataset Name: Splits):
- default: dev, test | 300 | 13 | normal |
azizdaurov/FineCot | none | 0.2346 | biology | 0.2036 | null | [] | 0 | 28 | normal | |
gaozi1111/ceval-exam | none | 0.8404 | code | 0.1117 | null | [] | C-Eval is a comprehensive Chinese evaluation suite for foundation models. It consists of 13948 multi-choice questions spanning 52 diverse disciplines and four difficulty levels. Please visit our [website](https://cevalbenchmark.com/) and [GitHub](https://github.com/SJTU-LIT/ceval/tree/main) or check our [paper](https:/... | 1,674 | 135 | normal |
CAIR-HKISI/scienceqa_mllm | chemistry | 0.497 | none | 0.1819 | null | [] | 0 | 5 | normal | |
vouu/reddit_dataset_44 | none | 0.9396 | code | 0.0282 | null | [] | # Bittensor Subnet 13 Reddit Dataset
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/resolve/main/bittensor.png" alt="Data-universe: The finest collection of social media data the web has to offer">
</center>
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/resolve... | 5,056 | 5 | normal |
anzorq/kbd_speech_murat | none | 0.6407 | medical | 0.0655 | null | [] | 0 | 7 | normal | |
ducbanh/trac_verify_v1 | none | 0.292 | code | 0.1846 | null | [] | 0 | 7 | normal | |
etherfi/xmasds | none | 0.5075 | code | 0.1107 | null | [] | 0 | 5 | normal | |
sjleslie/random_prevalence_7_bins_long_40 | none | 0.6614 | climate | 0.1345 | null | [] | 0 | 5 | normal | |
mlfoundations-dev/b1_science_top_16_10k_eval_636d | none | 0.968 | code | 0.0253 | null | [] | # mlfoundations-dev/b1_science_top_16_10k_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|-------------|--... | 2,996 | 4 | normal |
pt-eval/answers_my_run_5shot_3exp | none | 0.7895 | code | 0.1056 | null | [] | 0 | 23 | normal | |
Sowmi08/sample-record | none | 0.9077 | code | 0.0872 | 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",
"... | 4,219 | 6 | normal |
Jianshu001/OpenThought_no_model_name | none | 0.4055 | code | 0.2402 | null | [] | 0 | 9 | normal | |
BalajiMittapalli/kanji-stable-diffusion-dataset | none | 0.7922 | climate | 0.0459 | null | [] | 0 | 10 | normal | |
shimazukosen/eval_act_airhockey_1219_1223_ep12 | none | 0.9328 | code | 0.0623 | 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 | 5 | normal |
french-open-data/reseaux-gaz-grdf-en-service-sur-le-territoire-de-la-metropole-de-lyon | none | 0.4603 | cybersecurity | 0.3979 | null | [
"dataset_for_agent"
] | # Réseaux gaz GrDF en service sur le territoire de la Métropole de Lyon
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Réseaux gaz GrDF en service sur le territoire de la Métropole de Lyon** qui est disponible à l'adresse https://www.data.gouv.fr/datase... | 990 | 9 | normal |
cwyark/HouseExpo | none | 0.3172 | code | 0.1363 | null | [] | 0 | 88 | normal | |
lucweber/conala__subsampled | none | 0.3632 | climate | 0.1723 | null | [] | 0 | 9 | normal | |
FanChen0116/19100_chat_Self1x_slot_pvi | none | 0.9879 | code | 0.0063 | null | [] | # Dataset Card for "19100_chat_Self1x_slot_pvi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 180 | 3 | normal |
HungVu2003/opt-350m_beta_0.0_alpha_0.6_num-company_2_dataset_0_for_gen_16 | none | 0.8871 | biology | 0.0452 | null | [] | 0 | 3 | normal | |
Shayanvsf/polypset-detr-ready-small | none | 0.4902 | code | 0.1833 | null | [] | 0 | 5 | normal | |
AYI-NEDJIMI/owasp-top10-fr | cybersecurity | 0.9996 | code | 0.0002 | cybersecurity | [
"cybersecurity",
"ayinedjimi-consultants",
"fr",
"owasp",
"web-security",
"application-security",
"vulnerabilities",
"injection",
"xss",
"sql-injection",
"ssrf",
"french",
"security",
"pentest",
"appsec",
"devsecops",
"red-team",
"blue-team",
"SOC",
"threat-intelligence",
"SI... | # OWASP Top 10 (2021) - Dataset Complet FR
Dataset complet du **OWASP Top 10 (2021)** sur Hugging Face. Reference francophone pour la securite des applications web.
## Description
Ce dataset couvre l'ensemble des vulnerabilites du OWASP Top 10 2021 :
- **10 vulnerabilites** documentees avec descriptions detaillees,... | 8,218 | 21 | normal |
aisi-whitebox/wmdp_chem_cot_prompted_sandbagging_llama_31_8b_instruct_follow_up_q | none | 0.8452 | code | 0.0459 | null | [] | 0 | 5 | normal | |
Legitking4pf/FFHQ-Reference | none | 0.6965 | cybersecurity | 0.2374 | null | [
"image-restoration",
"portrait-upscaling",
"face-super-resolution",
"aesthetic-refinement"
] | # FFHQ Proxy Reference
## Overview
**FFHQ Proxy Reference** is a **reference-only dataset repository** designed to integrate high-quality human face images into advanced image restoration and portrait upscaling pipelines.
This repository acts as a **proxy schema and access reference** for the official FFHQ dataset a... | 2,595 | 7 | normal |
Apenus/data | biology | 0.7618 | chemistry | 0.0742 | null | [] | 0 | 5 | normal | |
shoubing35/test | none | 0.5066 | code | 0.1238 | null | [] | 0 | 4 | normal | |
imstevenpmwork/test_stream_linux14 | none | 0.9072 | code | 0.0874 | 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",
"... | 2,866 | 8 | normal |
StockLlama/TCS-2023-01-01_2024-08-24 | finance | 0.8106 | none | 0.1266 | null | [] | 0 | 10 | new_discovery | |
kaushikchan/catalog-sql-train | none | 0.2239 | chemistry | 0.1694 | null | [] | 0 | 5 | normal | |
open-llm-leaderboard-old/details_louisbrulenaudet__Pearl-7B-0211-ties | none | 0.9796 | code | 0.0162 | null | [] | # Dataset Card for Evaluation run of louisbrulenaudet/Pearl-7B-0211-ties
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [louisbrulenaudet/Pearl-7B-0211-ties](https://huggingface.co/louisbrulenaudet/Pearl-7B-0211-ties) on the [Open LLM Leaderboard](htt... | 19,343 | 8 | normal |
kothasuhas/shuffle_dyck_k64_ctx4096_n5000_v4 | none | 0.5908 | chemistry | 0.1326 | null | [] | 0 | 50 | normal | |
garapyubang/RedStoneFound | none | 0.3537 | climate | 0.1371 | null | [] | 0 | 10 | normal | |
dim014/ui-form-user-manual-generation-dataset-rus | code | 0.8021 | none | 0.1654 | null | [] | # UI Form User Manual Generation Dataset (Russian)
## Dataset Description
This dataset was developed on the basis of 'yahma/alpaca-cleaned' dataset.
It contains examples of generating user guides for interface forms in Russian. Each example includes a description of the UI form elements and corresponding step-by-step... | 1,820 | 5 | new_discovery |
TestCase-Eval/problem | code | 0.4122 | none | 0.2501 | null | [] | 0 | 14 | normal | |
ljvmiranda921/details_msde-meta-llama_Llama-3_1-8B-lora-4bit-msde-S1-id_gemma-3-4b-it | none | 0.9863 | code | 0.0112 | null | [] | # Dataset Card for Evaluation run of ljvmiranda921/msde-sft-dev
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [ljvmiranda921/msde-sft-dev](https://huggingface.co/ljvmiranda921/msde-sft-dev).
The dataset is composed of 14 configuration, each one corr... | 6,783 | 13 | normal |
Nunsi/clone-tts | none | 0.4261 | climate | 0.1705 | null | [] | 0 | 4 | normal | |
jxie/omomo_video | none | 0.5924 | code | 0.0929 | null | [] | 0 | 50 | normal | |
reasoning-proj/c_c_dfiltered_science_DeepSeek-R1-Distill-Qwen-7B_mneutral_add_random_text_t10 | none | 0.8567 | code | 0.0508 | null | [] | 0 | 4 | normal | |
meowterspace45/bird-sql-train-with-reasoning | code | 0.6014 | none | 0.3236 | null | [] | # bird-sql-train-with-reasoning
**Short description:** BirdSQL training set (Text-to-SQL) enhanced with chain-of-thought / reasoning traces.
**License:** Apache-2.0
Enhanced with reasoning traces using Nemo Data Designer and openai/gpt-oss-120b
---
## Schema (example fields)
Each record contains fields like:
- ... | 589 | 32 | normal |
Alkatt/eval_act_so101_CubeToBowl_ASN_test_run_010 | none | 0.9285 | code | 0.0664 | 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",
"... | 4,221 | 7 | normal |
legalaspro/so101-greenblack-cube-cup-pnp-50hz | none | 0.8497 | legal | 0.0906 | null | [
"so101",
"ros2",
"teleoperation",
"imitation-learning",
"so101-ros-physical-ai"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=legalaspro/so101-greenblack-cube-cup-pnp-50hz">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visua... | 4,008 | 45 | normal |
sjleslie/random_agreement_7_bins_long_65 | none | 0.6722 | climate | 0.1454 | null | [] | 0 | 5 | normal | |
Slim205/lean_workbook_RL_minif2f | none | 0.5587 | code | 0.1712 | null | [] | 0 | 4 | normal | |
Asap7772/hendrcyks_math_qwen__125_250 | none | 0.3036 | math | 0.3007 | null | [] | 0 | 6 | normal | |
ar9av/domain_content_relevancy_data | none | 0.6907 | climate | 0.0774 | null | [] | 0 | 6 | normal | |
VoiceOfML/SovMaterials | none | 0.9623 | code | 0.0152 | null | [] | 电报地址：https://t.me/vomebook ，有问题请在：https://huggingface.co/datasets/VoiceOfML/SovMaterials/discussions 提出。
友情链接：
https://github.com/ProletRevDicta/Prolet
https://github.com/banned-historical-archives/banned-historical-archives.github.io
https://huggingface.co/datasets/banned-historical-archives/banned-historical-arch... | 1,249 | 5,887 | normal |
bendavidsteel/douyin | none | 0.9827 | code | 0.0091 | null | [] | # Douyin Posts Dataset
A dataset of **1,133,545 unique posts** from Douyin (Chinese TikTok), collected via snowball sampling of related videos.
## Dataset Description
This dataset contains metadata from Douyin short videos, collected by crawling related video recommendations. Starting from seed videos matching speci... | 3,248 | 104 | normal |
sjelassi/paradetox | none | 0.2946 | biology | 0.1807 | null | [] | 0 | 4 | normal | |
SiriusXuan/OSTF-840 | none | 0.3149 | biology | 0.2748 | null | [] | 0 | 9 | normal | |
nhagar/CC-MAIN-2019-43_urls | none | 0.7309 | code | 0.1943 | null | [] | This dataset contains domain names and counts of (non-deduplicated) URLs for every record in the CC-MAIN-2019-43 snapshot of the Common Crawl. It was collected from the [AWS S3 version](https://aws.amazon.com/marketplace/pp/prodview-zxtb4t54iqjmy?sr=0-1&ref_=beagle&applicationId=AWSMPContessa) of Common Crawl via Amazo... | 503 | 4 | normal |
gokulsrinivasagan/audio_pretrain_tokenized_w2v2_13 | none | 0.6984 | chemistry | 0.0774 | null | [] | 0 | 5 | normal | |
Bgeorge/CNA_AudioDataset2 | none | 0.3281 | biology | 0.1537 | null | [] | 0 | 9 | normal | |
rpDungeon/rp-synth-deslopped | none | 0.7387 | code | 0.2036 | null | [
"roleplay",
"creative-writing"
] | # A Note on the License
So the data is synthed from two models that do not have open licenses (Mistral Large 2411 under MRL and Command-A under Cohere).
Claude wrote this readme + I havent checked if outputs from these models fall under the Apache license or not so use commercially at your own risk (partly bc the d... | 1,865 | 9 | normal |
letitiaaa/BBBC021_full | none | 0.3087 | biology | 0.2214 | null | [] | 0 | 7 | normal | |
ADSKAILab/dsl_icl_eval-2025_01_21_113247_model-anthropic-claude-3.5-sonnet_fewshot-5 | none | 0.7761 | chemistry | 0.0757 | null | [] | 0 | 7 | normal | |
Gopher-Lab/huberman_lab_How_to_Optimize_Testosterone__Estrogen | biology | 0.5377 | none | 0.2178 | null | [] | 0 | 2 | normal | |
JaredBailey/lerobot-cut-cheeto-v1 | none | 0.9178 | code | 0.0785 | 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 | 61 | normal |
SmallDoge/Doge | climate | 0.4925 | none | 0.2086 | null | [] | 0 | 225 | normal | |
mytestdpo/llama3_gsm8k1_first_wrong_generation | none | 0.6316 | code | 0.2488 | null | [] | 0 | 7 | normal | |
Maymay07/mri_question_answer_test | none | 0.5005 | code | 0.1413 | null | [] | 0 | 8 | normal | |
alihmaou/bdnb_2023-11.a_batiment_groupe_dle_reseaux_multimillesime_89 | none | 0.7174 | chemistry | 0.0924 | null | [] | 0 | 5 | normal | |
Trelis/openassistant-deepseek-coder | none | 0.9692 | code | 0.0276 | null | [
"human-feedback",
"deepseek coder"
] | # Chat Fine-tuning Dataset - OpenAssistant DeepSeek Coder
This dataset allows for fine-tuning chat models using:
```
B_INST = '\n### Instruction:\n'
E_INST = '\n### Response:\n'
BOS = '<｜begin▁of▁sentence｜>'
EOS = '\n<|EOT|>\n'
```
Sample Preparation:
1. The dataset is cloned from [TimDettmers](https://huggingface.co... | 9,374 | 82 | normal |
Donghyun99/Oxford-Flower-102 | none | 0.8117 | biology | 0.0505 | null | [] | # Dataset Card for "Oxford-Flower-102"
This is a non-official ```Oxford Flower-102``` dataset for **fine-grained** ```Image Classification```.
If you want to download the official dataset, please refer to the [here](https://www.robots.ox.ac.uk/~vgg/data/flowers/102/). | 272 | 111 | normal |
Rudra360/counselling-llama2-1k | none | 0.6729 | code | 0.0937 | null | [] | 0 | 4 | normal | |
linuzj/graph-data-quantum-tokenized_sft | none | 0.5732 | chemistry | 0.1725 | null | [] | 0 | 16 | normal | |
Cognitive-Lab/NayanaIR-MonoBench-mr | none | 0.6057 | code | 0.1105 | null | [] | 0 | 12 | normal | |
Asap7772/arc-agi-mixed-max4096-impabs-dpo-lr1e-7-beta0.05-16samp-flat-respgen-abs-9of32 | none | 0.9233 | biology | 0.0335 | null | [] | 0 | 4 | normal | |
amcinnerney/kBack_simple_2k_3grams | none | 0.5768 | chemistry | 0.1448 | null | [] | 0 | 4 | normal | |
PGLearn/14_ieee_011025 | none | 0.6453 | code | 0.2567 | null | [] | This page hosts the [PGLearn](https://huggingface.co/PGLearn) dataset [`14_ieee_011025`](https://huggingface.co/datasets/PGLearn/14_ieee_011025), containing 1,000,000 samples of ACOPF, DCOPF, and SOCOPF primal and dual solutions for varying loads on the [`14_ieee`](https://github.com/power-grid-lib/pglib-opf/blob/maste... | 1,015 | 4 | normal |
kingadil/super_tts | none | 0.9911 | code | 0.0065 | null | [] | # ⓍTTS
ⓍTTS is a Voice generation model that lets you clone voices into different languages by using just a quick 6-second audio clip. There is no need for an excessive amount of training data that spans countless hours.
This is the same or similar model to what powers [Coqui Studio](https://coqui.ai/) and [Coqui API]... | 4,000 | 23 | normal |
french-open-data/cheminements-pietons-dans-paris-d-apres-openstreetmap | cybersecurity | 0.7996 | none | 0.1904 | null | [
"accessibilite",
"cheminement",
"cheminement-pieton",
"cheminements-accessibles",
"openstreetmap",
"passage-pieton",
"pietons",
"zone-pietonne",
"dataset_for_agent"
] | # Cheminements piétons dans Paris d'après OpenstreetMap
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Cheminements piétons dans Paris d'après OpenstreetMap** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/65f05eaa403de89de3503083
## ... | 3,197 | 13 | normal |
qfq/eidata_large_epoch_ablation_20241023_104601_iter1 | none | 0.8708 | biology | 0.0284 | null | [] | 0 | 3 | normal | |
radiance-nt/place-20251121-103022 | none | 0.9381 | code | 0.0483 | 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",
"... | 4,274 | 5 | normal |
sapienzanlp/arc_italian | none | 0.8567 | code | 0.0955 | null | [] | # ARC - Italian (IT)
This dataset is an Italian translation of the [AI2 Reasoning Challenge (ARC)](https://arxiv.org/abs/1803.05457). ARC is a question-answering dataset that requires an understanding of natural language text and reasoning capabilities to answer questions correctly.
## Dataset Details
The dataset cons... | 4,897 | 184 | normal |
harsha2946/sampl-data | none | 0.5011 | climate | 0.1227 | null | [] | 0 | 9 | normal | |
ethanCSL/final_test_hope | none | 0.925 | code | 0.0702 | 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",
"... | 3,588 | 5 | normal |
nouhad/multiplication_train_1000_9x9-1000-gsm8k-verifier | none | 0.784 | code | 0.1467 | null | [] | 0 | 5 | normal | |
jkazdan/gpt-4o-trained-HeX-PHI | none | 0.4148 | chemistry | 0.1956 | null | [] | 0 | 4 | normal | |
DCAgent2/dcagent-dev-set-71-tasks-dcagent-code-contests-sandboxes-traces-terminus-2-wei-55729398 | code | 0.7531 | none | 0.2371 | null | [] | 0 | 8 | normal |
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