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 |
|---|---|---|---|---|---|---|---|---|---|---|
SayantanJoker/Shrutilipi_Hindi_resampled_44100_chunk_45 | none | 0.4399 | code | 0.267 | null | [] | 0 | 3 | normal | |
TheFactoryX/edition_1847_jxcai-scale-hle-public-questions-readymade | none | 0.9876 | code | 0.0115 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1847_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 | 93 | normal |
harpreetsahota/CLEVR_Depth | none | 0.6924 | code | 0.1323 | null | [
"fiftyone",
"image"
] | # Dataset Card for clver_depth
This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 1400 samples.
## Installation
If you haven't already, install FiftyOne:
```bash
pip install -U fiftyone
```
## Usage
```python
import fiftyone as fo
from fiftyone.utils.huggingf... | 4,558 | 66 | normal |
IaraMed/KPE_notas_k5 | none | 0.3918 | biology | 0.2338 | null | [] | 0 | 6 | normal | |
shawhin/youtube-titles-dpo | none | 0.9305 | code | 0.0627 | null | [] | Dataset to fine-tune Qwen2.5 on my YouTube title preferences via DPO. Synthetic titles were generated used Qwen2.5-7B via Together AI's API.
[Video link](https://youtu.be/bbVoDXoPrPM) <br>
[Blog link](https://shawhin.medium.com/fine-tuning-llms-on-human-feedback-rlhf-dpo-1c693dbc4cbf) <br>
[GitHub Repo](https://github... | 439 | 36 | normal |
VerboVision/Caption-Comparison-complete | none | 0.7223 | cybersecurity | 0.1513 | null | [] | # Dataset gerado para a primeira etapa de avaliação
## Imagens foram retiradas do conjunto VerboVision-100k, que é baseado no LAION | 131 | 10 | normal |
tmpmodelsave/beta05dpollama3_it_gsm8k_type1_halftype2_with_sft_loss_200tmp07 | none | 0.6882 | code | 0.1036 | null | [] | 0 | 5 | normal | |
katphlab/pubtables-latex | none | 0.4173 | chemistry | 0.1774 | null | [] | 0 | 10 | normal | |
OALL/details_VAGOsolutions__SauerkrautLM-Phi-3-medium | none | 0.963 | code | 0.0301 | null | [] | # Dataset Card for Evaluation run of VAGOsolutions/SauerkrautLM-Phi-3-medium
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [VAGOsolutions/SauerkrautLM-Phi-3-medium](https://huggingface.co/VAGOsolutions/SauerkrautLM-Phi-3-medium).
The dataset is comp... | 24,802 | 5 | normal |
DavidNguyen/seed | none | 0.8326 | code | 0.1419 | null | [] | # SEED-Bench Card
## Benchmark details
**Benchmark type:**
SEED-Bench is a large-scale benchmark to evaluate Multimodal Large Language Models (MLLMs).
It consists of 19K multiple choice questions with accurate human annotations, which
covers 12 evaluation dimensions including the comprehension of both the image and v... | 1,839 | 31 | normal |
HCY123902/qwen3_14b_gpt5_mini_sft_v0 | chemistry | 0.4473 | none | 0.2117 | null | [] | 0 | 6 | normal | |
open-llm-leaderboard-old/details_NousResearch__Nous-Hermes-2-Mixtral-8x7B-DPO | none | 0.8712 | biology | 0.1088 | null | [] | # Dataset Card for Evaluation run of NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO](https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO) on the [O... | 19,362 | 14 | normal |
AdleBens/test_mq_5 | none | 0.849 | code | 0.1233 | null | [
"phosphobot",
"so100",
"phospho-dk1"
] | # test_mq_5
**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. | 292 | 7 | normal |
Nash-pAnDiTa/quran_dataset_basfar_clean | none | 0.9555 | legal | 0.0239 | null | [
"transcription",
"quran",
"arabic",
"audio",
"text",
"Basfar",
"speech-to-text",
"asr"
] | # Quranic Dataset by Tanzil Project (Qari: Basfar)
## Overview
The **Tanzil Project** is an international initiative aimed at providing a highly accurate and verified Quranic text in Unicode. The Tanzil text is refined through rigorous verification processes to ensure adherence to the **Medina Mushaf** and to achieve ... | 1,975 | 21 | normal |
BAAI-DataCube/AgiBotWorld-Beta_G1_task_694_Unscrew_the_bottle_cap | none | 0.943 | code | 0.0437 | null | [] | # agibot_task_694
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
## Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 拧开瓶盖
total_episodes: 78
total_tasks: 1
size: 845M
## Dataset Structure
```
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── c... | 1,608 | 10 | normal |
kjngansgfa/dataset_yqwn1fd1 | none | 0.447 | climate | 0.0948 | null | [] | 0 | 2 | normal | |
reasoning-proj/exp_rob_dfiltered_logic_EXAONE-Deep-32B_madversarial_continue_unrelated_t90 | none | 0.524 | code | 0.2267 | null | [] | 0 | 5 | normal | |
omnineura/data_studio_llm1 | none | 0.4305 | chemistry | 0.1686 | null | [] | 0 | 3 | normal | |
cairadaria/Team1_hdrtna_darija | none | 0.4867 | cybersecurity | 0.1075 | null | [] | 0 | 5 | normal | |
felixgiov/ja_html_nii_01-06_llama_tokenized | none | 0.603 | code | 0.1327 | null | [] | 0 | 5 | normal | |
zsqzz/sft-medium300-cleaned | climate | 0.284 | chemistry | 0.2567 | null | [] | 0 | 17 | boundary | |
ambitiousmangosteen/g1_dex3_pizza_box_picking_v26_put | none | 0.9547 | code | 0.0393 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=ambitiousmangosteen/g1_dex3_pizza_box_picking_v26">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/v... | 5,107 | 12 | normal |
tsch00001/news-ka-shuffled-DISTILBERT-test | none | 0.7491 | code | 0.0542 | null | [] | 0 | 4 | normal | |
jihuny/llama_mag_10k_sky_dpo_mgopt_a03 | climate | 0.3219 | none | 0.3046 | null | [] | 0 | 8 | boundary | |
FrancophonIA/KAMOKO | none | 0.9204 | code | 0.0618 | null | [] | > [!NOTE]
> Dataset origin: https://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-3522
## Description
KAMOKO is a structured and commented french learner-corpus. It addresses the central structures of the French language from a linguistic perspective (18 different courses). The text examples in this corpus ... | 1,443 | 3 | normal |
tukey/documents_scientific_report_2000 | none | 0.3383 | chemistry | 0.2838 | null | [] | 0 | 4 | normal | |
DCAgent2/dev_set_v2_rl_tp4s64_8x_error_report_20260226_204821 | none | 0.435 | code | 0.3447 | null | [] | 0 | 13 | normal | |
Amina-DS/tweet_eval | none | 0.9909 | code | 0.0047 | null | [] | # Dataset Card for tweet_eval
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | 12,044 | 41 | normal |
DCAgent/DCAgent_dev_set_71_tasks_DCAgent_code-contests-sandboxes-traces-terminus-2_warm-81c76489 | code | 0.6364 | none | 0.3461 | null | [] | 0 | 9 | normal | |
Jun1801/legalai_dataset_ver1 | none | 0.3839 | legal | 0.2087 | null | [] | 0 | 3 | normal | |
benayas/llm-augmented_snips_llama2_3pct_v2 | none | 0.6163 | chemistry | 0.1472 | null | [] | 0 | 2 | normal | |
zarahall/resumes_llama3b_outcome_gpt | none | 0.5707 | climate | 0.1183 | null | [] | 0 | 5 | normal | |
stefanocarrera/D_metrics_HE_Qwen3-0.6B-Base-unsloth-bnb-4bit_gen4 | none | 0.774 | code | 0.1361 | null | [] | 0 | 11 | normal | |
BrunoHays/earnings22-longform-with-ids | finance | 0.974 | none | 0.0173 | null | [] | # Earnings 22 longform test dataset with an index
Exact same content as the dataset used in the open ASR leaderboard [here](https://huggingface.co/datasets/hf-audio/asr-leaderboard-longform) (split earnings22), but with the additional column "id".
We used the index of each sample as an id. | 291 | 36 | new_discovery |
french-open-data/offre-de-transport-du-reseau-cabus-communaute-d-agglomeration-sarreguemines-confluences | cybersecurity | 0.6852 | none | 0.2704 | null | [
"donnees-ouvertes",
"fiche-horaire-fluo-grand-est",
"grand-est",
"gtfs",
"mobilite-et-transports",
"transport",
"dataset_for_agent"
] | # Offre de transport du réseau CABUS (Communauté d'Agglomération Sarreguemines Confluences)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Offre de transport du réseau CABUS (Communauté d'Agglomération Sarreguemines Confluences)** qui est disponible à l... | 808 | 7 | normal |
french-open-data/friches-en-zones-d-activites-economiques-2023 | cybersecurity | 0.9611 | none | 0.024 | null | [
"activite",
"cci",
"economie",
"foncier-economique",
"friche",
"inventaire",
"sud-foncier-eco",
"sudfonciereco",
"zae",
"dataset_for_agent"
] | # Friches en zones d'activités économiques - 2023
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Friches en zones d'activités économiques - 2023** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/66d25d506c064cce49709385
## Description
... | 1,423 | 8 | new_discovery |
Nevoreuven/nevo-reuven_fifa23-player-analysis | none | 0.7577 | finance | 0.2098 | null | [] | # ⚽ FIFA 23 Player Market Value Analysis
## 📘 Overview
This project analyzes the **FIFA 23 Complete Player Dataset** to explore
which player attributes have the greatest influence on a football player's market value.
The analysis includes:
- Data Loading
- Data Cleaning
- Handling Missing Values
- Outlier De... | 5,382 | 10 | normal |
DontBeCynical/SWE-bench_Verified | code | 0.9896 | none | 0.0087 | null | [] | **Dataset Summary**
SWE-bench Verified is a subset of 500 samples from the SWE-bench test set, which have been human-validated for quality. SWE-bench is a dataset that tests systems’ ability to solve GitHub issues automatically. See this post for more details on the human-validation process.
The dataset collects 500 ... | 2,571 | 8 | new_discovery |
tifosiai/butabytes-v2.0 | none | 0.9507 | code | 0.0352 | null | [
"butabytes",
"nlp",
"corpus",
"az",
"azerbaijani",
"ai",
"tifosiai",
"aznlp"
] | 
# ButaBytes 2.0 - The largest text-based NLP corpus for Azerbaijani Language (43M+ sentences)
ButaBytes is designed for a wide range of NLP tasks, collected from 3 million sources with a diverse range of genres and topics, such as politics, economics, science, culture, sports, h... | 4,740 | 55 | normal |
jordan-taylor-aisi/test_benign_labels_llama_31_8b_instruct_wmdp-bio | code | 0.504 | none | 0.4712 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: test_benign_labels_llama_31_8b_instruct_wmdp-bio
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-21.
### Model Information
- **Model**: `vllm/meta-llama/Llama-3.1-8B-Instruct`
### Task Information
- **Tasks**... | 3,707 | 4 | boundary |
Beraa/turkishReviews-ds-mini | none | 0.6641 | biology | 0.0863 | null | [] | 0 | 4 | normal | |
swordfaith/ReTool-SFT-multi-turn | math | 0.5276 | code | 0.4347 | null | [] | # ReTool-SFT-multi-turn: Cold-start Multi-turn SFT Data for Tool Use
framework release blog: https://github.com/zhaochenyang20/Awesome-ML-SYS-Tutorial/blob/main/rlhf/verl/multi-turn/verl-multiturn-rollout-Release.md
This dataset contains ReTool-like cold-start multi-turn supervised fine-tuning (SFT) data specifically... | 1,368 | 101 | boundary |
french-open-data/historique-de-disponibilite-des-ascenseurs | cybersecurity | 0.6898 | none | 0.3014 | null | [
"accessibilite",
"handicap",
"ile-de-france",
"ratp",
"transilien",
"dataset_for_agent"
] | # Historique de disponibilité des ascenseurs
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Historique de disponibilité des ascenseurs** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/561b88dd88ee3825ff628efb
## Description
Historiqu... | 654 | 8 | normal |
mixer100/llama3data_sample | none | 0.4743 | climate | 0.1735 | null | [] | 0 | 3 | normal | |
artfultom/llm-generated-essays | none | 0.9573 | code | 0.0198 | null | [] | # AI-Generated Essays Dataset
This dataset contains AI-generated academic essays created using the models:
- Mistral 7B Instruct v0.2 (Q5_K_M quantized)
- Temperature: 0.7
- Max tokens: 4096
- Top-p: 0.9 (default)
- Top-k: 40 (default)
- Repeat penalty: 1.1 (default)
- Context window: 32768 tokens
- Llama ... | 7,370 | 45 | normal |
delibong/deli33 | none | 0.5548 | biology | 0.1135 | null | [] | 0 | 3 | normal | |
llm-jp/WAON-Bench | none | 0.9403 | legal | 0.023 | null | [] | # WAON-Bench: Japanese Cultural Image Classification Dataset
<div align="center" style="line-height: 1;">
|
<a href="https://huggingface.co/collections/llm-jp/waon" target="_blank">🤗 HuggingFace</a>
|
<a href="https://arxiv.org/abs/2510.22276" target="_blank">📄 Paper</a>
|
<a href="https://... | 3,493 | 221 | normal |
Grievous-Robot/advanced-grievous-20260220_113511 | none | 0.9261 | code | 0.0694 | 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",
"... | 3,879 | 12 | normal |
yoonholee/completions_AIME2024_AIME2024-SFT-hint1_RL-nohint-promptsuff | none | 0.8119 | code | 0.1061 | null | [] | 0 | 3 | normal | |
sonos-nlu-benchmark/snips_built_in_intents | none | 0.9874 | code | 0.0091 | null | [] | # Dataset Card for Snips Built In Intents
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data... | 4,798 | 1,181 | normal |
TAUR-dev/rg_eval_dataset__arc | none | 0.4274 | climate | 0.2137 | null | [] | 0 | 4 | normal | |
maedachikara/JMMMU-caption-jp | none | 0.5062 | code | 0.1165 | null | [] | 0 | 4 | normal | |
trnguyenai01/VolumeIndicators | none | 0.3933 | code | 0.1294 | null | [] | 0 | 3 | normal | |
KathirKs/CC-MAIN-2017-13_row_wise_20241001_031437 | none | 0.5652 | biology | 0.1641 | null | [] | 0 | 3 | normal | |
omymble/setfit-books-absa-sampled | none | 0.6257 | chemistry | 0.1016 | null | [] | 0 | 4 | normal | |
siddharth2525/crop-disease-images | biology | 0.3013 | none | 0.2301 | null | [] | 0 | 20 | boundary | |
Haeryz/Youtube-voice | none | 0.5841 | code | 0.1349 | null | [] | 0 | 8 | normal | |
nickfuryavg/mls_eng_chunk_2000000_to_2050000 | none | 0.6188 | code | 0.1261 | null | [] | 0 | 4 | normal | |
tim-lawson/wikitext-2-v1-kl-gpt2-vs-gpt2-xl | none | 0.7903 | code | 0.1128 | null | [] | 0 | 23 | normal | |
stealavie/vietnamese-asr-dataset | none | 0.5833 | chemistry | 0.0762 | null | [] | 0 | 9 | normal | |
kantine/stacking_cups_expert | none | 0.8644 | code | 0.1309 | 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",
"... | 3,757 | 5 | normal |
moondream/ia_ocr | none | 0.8963 | biology | 0.0458 | null | [] | Contains pages from documents sourced from the Internet Archive, transcribed by Pixtral. Not super accurate, but useful during pretraining.
```
@misc{moondream_ia_ocr,
author = {Vikhyat Korrapati},
title = {IA OCR Dataset},
year = {2025},
url = {https://huggingface.co/datasets/moo... | 381 | 7,546 | normal |
math-extraction-comp/allenai__Llama-3.1-Tulu-3-70B | none | 0.5609 | math | 0.298 | null | [] | 0 | 5 | normal | |
serbonkers99/TRAIN | none | 0.3241 | chemistry | 0.1409 | null | [] | 0 | 4 | normal | |
PrimeIntellect/SYNTHETIC-2-SFT-unverified | math | 0.7237 | none | 0.232 | null | [] | # SYNTHETIC-2
SYNTHETIC-2 is an open reasoning dataset spanning a variety of math, coding and general reasoning tasks along with reasoning traces generated in a collaborative manner. The dataset contains both high quality reasoning traces from Deepseek-R1-0528 ideally suited for SFT, as well as multiple reasoning trac... | 1,522 | 42 | normal |
cyx66666/il_gym0 | none | 0.9069 | code | 0.0826 | 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",
"... | 3,650 | 7 | normal |
hcasademunt/gender-pronoun-profession | none | 0.6089 | legal | 0.1779 | null | [] | 0 | 3 | normal | |
Fudan-fMRI/fMRI-Video | medical | 0.5596 | finance | 0.1429 | null | [] | # [ECCV 2024] Enhancing Cross-Subject fMRI-to-Video Decoding with Global-Local Functional Alignment
## Introduction
fMRI-video dataset, 8 subjects (6 male and 2 female, aged 23-27, 3 for FCVID and 5 for WebVid) participated, and fMRI data are acquired using a 3T scanner and a 32-channel RF head coil, with the fMRI ... | 1,983 | 154 | normal |
SheebaSharon/finetuning_demo | none | 0.4219 | code | 0.1627 | null | [] | 0 | 4 | normal | |
mlfoundations-dev/multiple_samples_ground_truth_numina_aime | none | 0.6307 | climate | 0.2531 | null | [] | 0 | 20 | normal | |
ekon5509/Waste_collected | none | 0.3435 | biology | 0.3309 | null | [] | 0 | 5 | normal | |
lxyuan/synthetic-nli-triplet | none | 0.9053 | code | 0.0602 | null | [] | #### Overview
**Synthetic-nli-triplet** is a dataset generated through an iterative sampling process from the existing [nli-triplet](https://huggingface.co/datasets/sentence-transformers/all-nli/viewer/triplet) dataset.
Each sampled triplet is used as input to prompt the [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https... | 3,010 | 14 | normal |
indraneelpatil/final_real_robot_pick_cube1 | none | 0.8946 | code | 0.0973 | 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",
"... | 3,649 | 25 | normal |
french-open-data/comptes-administratifs-2014-a-2019-du-budget-principal-departement-du-calvados | cybersecurity | 0.8835 | legal | 0.0507 | null | [
"budget",
"compte-administratif",
"comptes-publics",
"finances-locales",
"totem",
"dataset_for_agent"
] | # Comptes administratifs 2014 à 2019 du budget principal - Département du Calvados
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Comptes administratifs 2014 à 2019 du budget principal - Département du Calvados** qui est disponible à l'adresse https://w... | 2,304 | 7 | new_discovery |
prakod/gcm_enhi_filtred_1300000 | none | 0.3955 | chemistry | 0.2045 | null | [] | 0 | 4 | normal | |
agentlans/refusal-classifier-data | none | 0.9806 | code | 0.0163 | null | [] | # Refusal Classifier Training Data
- The `english_only` subset is taken from the `downsampled` configuration of [agentlans/en-chat-refusal](https://huggingface.co/datasets/agentlans/en-chat-refusal).
- The `multilingual` subset is created by mixing [agentlans/multilingual-chat-refusal](https://huggingface.co/datasets/... | 570 | 36 | normal |
user074/prm800k_MATH_splits_rephrased | none | 0.473 | chemistry | 0.159 | null | [] | 0 | 4 | normal | |
InsultedByMathematics/infoNCA-ultrafeedback-test-evaluation_alpha_1e-2 | none | 0.8337 | finance | 0.0706 | null | [] | 0 | 5 | normal | |
malaysia-ai/Korean-Single-Speaker-TTS | none | 0.9378 | code | 0.0378 | null | [] | # Korean-Single-Speaker-TTS
Originally from https://www.kaggle.com/datasets/bryanpark/korean-single-speaker-speech-dataset, we mirror it to HuggingFace.
## how to prepare the dataset
```bash
hf download malaysia-ai/Korean-Single-Speaker-TTS kss_audio.zip --local-dir=./ --repo-type=dataset
unzip kss_audio.zip
``` | 316 | 18 | normal |
kh4dien/hh_rlhf_60k | none | 0.5169 | chemistry | 0.1461 | null | [] | 0 | 3 | normal | |
mlfoundations-dev/c1_math_10d_16s_10k | chemistry | 0.4582 | math | 0.3005 | null | [] | 0 | 5 | normal | |
Ayush-Singh/reward-bench-gemma-2-2b-it-set1-scores | none | 0.8375 | code | 0.0665 | null | [] | 0 | 5 | normal | |
Wei1226/red_attacker_1 | none | 0.6533 | code | 0.0978 | null | [] | 0 | 6 | normal | |
liyitenga/so100_bi_giveme5 | none | 0.9402 | code | 0.0544 | 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",
"... | 4,675 | 21 | normal |
Zak-Y/Cleaning_Leather_dataset | none | 0.9248 | code | 0.0714 | 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"... | 4,867 | 14 | normal |
friendshipkim/anli_can_we_infer_r1 | none | 0.5827 | code | 0.1091 | null | [] | 0 | 4 | normal | |
faur-ai/ro-databricks-dolly | none | 0.6669 | code | 0.3054 | null | [] | This dataset is the translated `databricks-dolly-15k` instruct dataset using LLMic, a bilingual Romanian-English LLM.
`databricks-dolly-15k` an open source dataset of instruction-following records generated by thousands of Databricks employees
in several of the behavioral categories outlined in the InstructGPT paper, i... | 1,368 | 11 | normal |
Matt1208/Remove_Red_Object_V2 | none | 0.75 | code | 0.2001 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # Remove_Red_Object_V2
**This dataset was generated using a [phospho starter pack](https://robots.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS. | 312 | 7 | normal |
YuchenLi01/MATH_1.5Bpretrained_DPO_pair16 | chemistry | 0.383 | climate | 0.2554 | null | [] | 0 | 4 | boundary | |
PrismaticLab/PersianClevr | none | 0.7367 | math | 0.2446 | null | [] | # PersianClevr Dataset
A bilingual (English–Persian) 3D visual reasoning benchmark built from CLEVR, Super‑CLEVR, and ClevrTex. Designed for evaluating multilingual VLMs across **five reasoning skills**: attribute identification, counting, comparison, spatial relationships, and logical operations.
---
## 🧩 Overview... | 4,307 | 3 | normal |
omrisap/gsm8k | none | 0.4069 | climate | 0.1608 | null | [] | 0 | 8 | normal | |
french-open-data/calendrier-des-horaires-d-ouvertures-des-decheteries-de-tonnerre-ancy-le-franc-rugny | cybersecurity | 0.981 | none | 0.0136 | null | [
"agenda",
"calendrier",
"centre-de-tri",
"decheterie",
"dechets",
"ecocentre",
"ecopoint",
"planning",
"recyclage",
"recyclage-des-dechets",
"dataset_for_agent"
] | # Calendrier des horaires d'ouvertures des déchèteries de Tonnerre - Ancy le Franc - Rugny
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Calendrier des horaires d'ouvertures des déchèteries de Tonnerre - Ancy le Franc - Rugny** qui est disponible à l'a... | 3,625 | 7 | new_discovery |
shanchen/limo_es_tokenized | none | 0.537 | code | 0.1165 | null | [] | 0 | 6 | normal | |
test-gen/code_livecodebench_qwen2.5-7b_t1.0_n8_tests_livecodebench_qwen-1.5b-easy-unique_t0.0_n1 | code | 0.8657 | none | 0.1247 | null | [] | 0 | 5 | new_discovery | |
jasonkrone/werewolf | none | 0.4468 | chemistry | 0.1314 | null | [] | 0 | 5 | normal | |
kaiserbuffle/eval_hanoiv5_44 | none | 0.9033 | code | 0.0917 | null | [
"so101",
"hanoi tower"
] | 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",
"... | 3,576 | 9 | normal |
Grievous-Robot/bimanual-laptop-20260302_113555 | none | 0.9049 | code | 0.091 | 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",
"... | 3,718 | 34 | normal |
ExponentialScience/ESG-DLT-NER | finance | 0.5589 | none | 0.3698 | null | [
"Distributed Ledger Technology",
"Blockchain",
"ESG",
"Named Entity Recognition",
"Environmental, Social, and Governance"
] | # Dataset Card for ESG/DLT Named Entity Recognition Dataset
This dataset contains named entities related to Distributed Ledger Technology (DLT) and Environmental, Social, and Governance (ESG) topics created to support research in these areas and at the intersection of these domains.
## Dataset Details
### Dataset De... | 4,697 | 23 | normal |
straka/distinct_words | none | 0.7513 | chemistry | 0.074 | null | [] | 0 | 6 | normal | |
Ameyapores/dvrk_pegtransfer | none | 0.9203 | code | 0.0701 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 2,381 | 152 | normal |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.