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 |
|---|---|---|---|---|---|---|---|---|---|---|
Blakus/Spanish_spain_dataset_100h | none | 0.9624 | medical | 0.0096 | null | [] | Total hours: 120h.
Language: Spanish.
Source: Librivox (https://librivox.org/search?primary_key=5&search_category=language&search_page=1&search_form=get_results)
Number of speakers: 17 without counting the collaborative audio books.
Collection: Cutted by the windows speech recognition using the source text as gramm... | 646 | 6 | normal |
YounesHouhou/filter2 | none | 0.9558 | code | 0.0303 | 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",
"... | 3,707 | 4 | normal |
johnswyou/wavelet-lstm-camels-models | climate | 0.8973 | biology | 0.0514 | null | [
"hydrology",
"streamflow",
"wavelet",
"lstm",
"camels",
"forecasting"
] | # Wavelet-LSTM CAMELS Streamflow Models
A collection of **61,380 pre-trained LSTM models** for daily streamflow forecasting across **620 USGS catchments** from the [CAMELS dataset](https://ral.ucar.edu/solutions/products/camels).
Each catchment has 99 independently trained models:
- **33 wavelet filters** × **3 lead ... | 5,396 | 22,160 | new_discovery |
TheFactoryX/edition_2061_shi-labs-oneformer_demo-readymade | none | 0.98 | code | 0.0187 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2061_shi-labs-oneformer_demo-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[shi-labs/oneformer_demo](https://huggingface.co/datasets/shi-labs/oneformer_demo)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them ... | 951 | 3 | normal |
manify/qiita | none | 0.4724 | code | 0.0996 | null | [] | 0 | 12 | normal | |
yourbench-testing/yourbench-single-hop-demo | none | 0.7989 | code | 0.197 | null | [] | [<img src="https://raw.githubusercontent.com/huggingface/yourbench/main/docs/assets/yourbench-badge-web.png"
alt="Built with YourBench" width="200" height="32" />](https://github.com/huggingface/yourbench)
# Yourbench Single Hop Demo
This dataset was generated using YourBench (v0.6.0), an open-source framework f... | 2,070 | 4 | normal |
One-RL-to-See-Them-All/Orsta-Data-47k | none | 0.7372 | code | 0.1251 | null | [
"vision-language",
"multimodal",
"reinforcement-learning",
"visual-reasoning",
"visual-perception",
"V-Triune",
"Orsta"
] | # Orsta-Data-47k Dataset
* 🐙 **GitHub Repo:** [MiniMax-AI/One-RL-to-See-Them-All](https://github.com/MiniMax-AI/One-RL-to-See-Them-All)
* 📜 **Paper (arXiv):** [V-Triune: One RL to See Them All (arXiv:2505.18129)](https://arxiv.org/abs/2505.18129)
## Dataset Description 📖
**Orsta-Data-47k** is a specialized datase... | 9,319 | 435 | normal |
extralit-dev/test_import_dataset_from_hub_with_classlabel_b35dc9bb-eeb2-467b-b2d2-6ba0f34e0611 | none | 0.7322 | code | 0.0678 | null | [] | 0 | 27 | normal | |
hatxwgah/Rice-Disease-Augmented | none | 0.7888 | medical | 0.0862 | null | [] | This dataset is the augmented version of the original dataset: [Subh775/Rice-Disease-Classification-Dataset](https://huggingface.co/datasets/Subh775/Rice-Disease-Classification-Dataset)
<table border="1">
<tr>
<th>Dataset</th>
<th>Original</th>
<th>This</th>
</tr>
<tr>
<td><b>changes</b></td>
... | 451 | 12 | normal |
jackvial/mergetest9000 | none | 0.9616 | code | 0.0356 | null | [] | # Merged LeRobot Dataset
This dataset was created by merging multiple LeRobot datasets using the [LeRobot Data Studio](https://github.com/jackvial/assembler0/packages/lerobot-data-studio) merge tool.
## Source Datasets
This merged dataset combines the following 2 datasets:
- [jackvial/koch_screwdriver_attach_orange... | 4,886 | 9 | normal |
Sntng/drone_view | none | 0.4246 | climate | 0.1753 | null | [] | 0 | 7 | normal | |
safeagentbench/SafeAgentBench | code | 0.7853 | none | 0.1574 | null | [] | Cite arxiv.org/abs/2412.13178.
Thanks for your attention of our work -- SafeAgentBench! There are four data in the datasets -- detailed unsafe/safe tasks, abstract tasks, long-horizon tasks.
You can input these tasks to the llm planners to get plans and use evaluators to get the final result.
The detailed codes are p... | 378 | 354 | normal |
reysz/test | chemistry | 0.474 | climate | 0.1692 | null | [
"ecology"
] | test
QA pairs
This is used to test LLM applications in the field of ecological environment. | 93 | 72 | normal |
Interstellar174/Gaokao-LLM-data | math | 0.7197 | none | 0.2011 | null | [] | # QZDH_Gaokao_Data: Gaokao Past Paper Reasoning Dataset
Chinese readme link is here: [简体中文](./README_zh.md)
QZDH_Gaokao_Data is a dataset independently collected by the Qizhi Navigation Project, aimed at promoting the rapid development of AI education, assisting in the development of AI applications, and the construct... | 1,973 | 7 | normal |
liangzid/robench2024b_all_seteconSCP-c | none | 0.3551 | code | 0.2446 | null | [] | 0 | 8 | normal | |
reasoning-proj/exp_rob_dfiltered_Phi-4-reasoning-plus_2_madversarial_cont_wrong_reasoning_t70 | none | 0.8217 | math | 0.0883 | null | [] | 0 | 5 | normal | |
CHOOSEIT/MCQA_small_alignment_min | chemistry | 0.3232 | climate | 0.2382 | null | [] | 0 | 5 | boundary | |
kingabzpro/dermatology-qa-firecrawl-dataset | medical | 0.9841 | none | 0.0144 | medical | [
"medical"
] | # Medical Research Dataset with OpenAI Harmony and Firecrawl Search API
This dataset contains validated dermatology question–answer pairs generated from publicly available medical resources.
The questions were automatically derived from medical page titles and descriptions, using the **OpenAI Harmony API** and **Fir... | 3,023 | 77 | normal |
zacbrld/MNLP_M3_rag_documents_45 | none | 0.4725 | chemistry | 0.1415 | null | [] | 0 | 3 | normal | |
french-open-data/parc-du-luberon-bande-active-du-calavon-coulon-en-2001 | finance | 0.3689 | cybersecurity | 0.3109 | null | [
"cours-deau",
"crue",
"hydrographie",
"dataset_for_agent"
] | # Parc du Luberon - Bande active du Calavon - Coulon en 2001
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Parc du Luberon - Bande active du Calavon - Coulon en 2001** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/682fbb91a36522ebf57... | 518 | 8 | boundary |
Beryex/xlam-function-calling-60k-sharegpt | code | 0.9831 | none | 0.0147 | null | [] | # Dataset Card for xlam-function-calling-60k-sharegpt
This dataset is the sharegpt format of the original `Salesforce/xlam-function-calling-60k` dataset. It is primarily designed for fine-tuning large language models (LLMs) for function calling and multi-turn conversations.
---
## Dataset Description
The original [S... | 2,000 | 32 | new_discovery |
deokhk/mapps-filtered | code | 0.9109 | none | 0.0637 | null | [
"Code"
] | ### Dataset Description
This dataset is a multilingual extension of the "introductory" level problems from the codeparrot/apps dataset, which focuses on programming tasks. We filtered the original dataset to include only questions formatted in Standard Input Format, where each problem specifies the expected standard i... | 830 | 17 | new_discovery |
DogNeverSleep/EventHallusion_misleading | none | 0.4809 | code | 0.157 | null | [] | 0 | 3 | normal | |
mlfoundations-dev/coder_stat | none | 0.3842 | chemistry | 0.2338 | null | [] | 0 | 5 | normal | |
sunitha-ravi/llama-3-8b-financebench-answer-perturb | none | 0.5503 | finance | 0.2297 | null | [] | 0 | 24 | normal | |
Forozanmehr8664/hugg | none | 0.3993 | code | 0.1425 | null | [] | 0 | 5 | normal | |
AbstractPhil/geometric-vocab | math | 0.3329 | chemistry | 0.3176 | null | [
"symbolic-embeddings",
"geometric-embeddings",
"vocabulary",
"unicode",
"wordnet"
] | # Research Update 9/13/2025
The MULTITUDE of tests I've ran show that with weighted decay these pentachora are more likely to collapse to zero than retain utility when trained directly. However, when used as a starting point and then only minorly shifted as a trajectory towards a goal, they are more likely to retain f... | 8,112 | 406 | boundary |
tuandunghcmut/bfcl-unused_datasets__possible_answer__BFCL_v4_exec_parallel | none | 0.4859 | code | 0.3259 | null | [] | 0 | 5 | normal | |
danh2606/mteb_format_luatvn_test | none | 0.3848 | chemistry | 0.1661 | null | [
"mteb",
"luat-vn",
"vietnamese"
] | 0 | 6 | normal | |
BAAI-DataCube/robomind_benchmark1_1_release_ur_1rgb_place_the_mango_on_the_table_1120 | none | 0.8367 | code | 0.1338 | null | [] | # benchmark1_1_release_ur_1rgb_place_the_mango_on_the_table_1120
This dataset converts the Robomain format uniformly into LeRobot V3.0.
## Dataset Statistics
本体: ur_1rgb
末端执行器: 夹爪
任务平台显示版: 将芒果放在桌子上part_2
total_episodes: 285
total_tasks: 1
size: 225.7M
## Dataset Structure
```
├── data
│ └── chunk-xxx
│ ├── f... | 962 | 25 | normal |
rzhang139/so100_cleaning_trimmed_20250524_180424 | none | 0.3694 | biology | 0.1999 | null | [] | 0 | 7 | normal | |
neelabh17/new_news_exploded_prompt_n_75_d_perc_0_num_gen_10_Qwen2.5-1.5B-Instruct_no_mcq | none | 0.9549 | code | 0.0354 | null | [] | 0 | 5 | normal | |
yoonholee/completions_wstar-nohint_Qwen3-4B_HMMT2025 | none | 0.6959 | code | 0.1389 | null | [] | 0 | 3 | normal | |
WendyHoang/pdf_dataset_v2 | none | 0.4028 | climate | 0.1853 | null | [] | 0 | 4 | normal | |
magnifi/Phi3_intent_v68_1_w_unknown | none | 0.5663 | chemistry | 0.138 | null | [] | 0 | 6 | normal | |
matboz/mathqa_LLama-3.1-8b-instruct-elephant-greedy | math | 0.6536 | chemistry | 0.1476 | null | [] | 0 | 4 | normal | |
dgambettaphd/D_gen10_run0_Meta-Llama-3.1-8B-bnb-4bit_wiki_doc10_real64_synt64 | code | 0.6099 | none | 0.36 | null | [] | 0 | 4 | normal | |
weqweasdas/llama3_it_gen_tmp10_gold_tmpexp_prompt_tmp0_gen | none | 0.939 | code | 0.0243 | null | [] | 0 | 4 | normal | |
zxc0zxc0zxc/russian-smm-posts | none | 0.9553 | code | 0.0391 | null | [
"russian",
"smm",
"social-media",
"instruction-tuning"
] | # zxc0zxc0zxc/russian-smm-posts
A small Russian-language dataset of social media writing examples based on posts from major Russian media Telegram
channels.
The dataset contains up to 2,000 examples collected via Telegram Channel Export and then automatically reformatted,
structured, and annotated with ChatGPT ... | 1,232 | 16 | normal |
ameddserM/philm_video_tasks_1 | none | 0.983 | cybersecurity | 0.0077 | null | [
"video-editing",
"creative-production",
"agent-benchmark"
] | # Philm Video Tasks v1
23 creative media production tasks for evaluating AI agents on real-world video/audio/image production workflows.
## Overview
| Metric | Value |
|--------|-------|
| Total tasks | 23 |
| Easy | 9 |
| Medium | 9 |
| Hard | 5 |
| Total rubric checks | 139 |
## Schema
| Column | Type | Descript... | 6,000 | 14 | normal |
pdf2dataset/32dcc4b42cf2f2f03e7b2d9b2602b335 | none | 0.5923 | biology | 0.1041 | null | [] | 0 | 4 | normal | |
hugonowak/dane-szkoleniowe-26 | none | 0.7684 | cybersecurity | 0.0553 | null | [] | dane-szkoleniowe-26
dane-szkoleniowe-26 | 39 | 5 | normal |
seossine/dataset_004 | none | 0.4213 | climate | 0.1879 | null | [] | 0 | 4 | normal | |
pittawat/medqa_20_long_results | none | 0.6288 | climate | 0.0813 | null | [] | 0 | 4 | normal | |
apayan/so100_dice4 | none | 0.9186 | code | 0.0776 | null | [
"so100"
] | 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"... | 4,393 | 17 | normal |
kimyeji/tuna_blue_v2 | none | 0.9055 | code | 0.0882 | 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",
"... | 2,570 | 13 | normal |
NaOHL1/MultiHumanCarRacing | none | 0.9053 | biology | 0.0485 | null | [
"racing",
"car",
"driving",
"racecar",
"imitation"
] | # MultiHumanCarRacing
Documentation: https://github.com/NaOH12/RacingSentimentAnalysis<br>
(meta_data folder is not available since it is being flagged as unsafe. This can be generated/modified with sample_builder.py)<br><br>
Dataset and code are free to use. Please consider reaching out if you are <a href="https://www... | 358 | 1,620 | normal |
Fdddhhhill/shipment_tracking_data.csv | none | 0.7272 | cybersecurity | 0.2362 | null | [
"enterprise-ai",
"industrial-analytics",
"global-logistics",
"supply-chain-intelligence",
"operational-risk-modeling",
"sustainability-analytics",
"demand-forecasting",
"smart-warehouse"
] | # Global Enterprise Logistics & Supply Chain AI Dataset (Corporate Edition 2024)
## Corporate Overview
This dataset represents a high-level enterprise simulation of global logistics and supply chain operations.
It is designed to reflect the operational complexity of multinational corporations managing multi-regiona... | 2,225 | 11 | normal |
datasets-CNRS/taxonomie-des-poissons | biology | 0.6472 | none | 0.2784 | null | [] | > [!NOTE]
> Dataset origin: https://www.ortolang.fr/market/terminologies/taxonomie-des-poissons
## Description
Constitué dans le cadre d'un enrichissement terminologique collaboratif avec la BnF, ce vocabulaire trilingue, français-anglais-espagnol, contenant des noms latins de poissons, est structuré depuis l'es... | 1,214 | 8 | normal |
lamm-mit/spider-silk-DPO | none | 0.6181 | climate | 0.0921 | null | [] | 0 | 10 | normal | |
Spark0801/x_dataset_130 | none | 0.9173 | code | 0.0347 | null | [] | # Bittensor Subnet 13 X (Twitter) 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/re... | 5,267 | 10 | normal |
dumuzeyn/ROdataset | none | 0.9832 | legal | 0.0068 | null | [] | The dataset consists of 1109 images showing traffic lights, cars, buses, trucks, and road signs. The dataset is marked up in CVAT.AI . There are 4 classes in the dataset: Car, Person, RoadSigns, Bike.
> 1. The **CAR** — class refers to all types of transport on the roads except trains.
> 2. The **Person** — class ref... | 1,098 | 5 | normal |
Volavion/eval_temperatures_bench | none | 0.3723 | climate | 0.2487 | null | [] | 0 | 7 | normal | |
seojing/pickplace_panda | none | 0.8774 | code | 0.1155 | 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",
"... | 2,827 | 61 | normal |
ping98k/mcq-tau-retail-filtered | none | 0.6461 | climate | 0.0865 | null | [] | 0 | 16 | normal | |
ivanjaenm/ot-dataset_bins10_size500k_prec6 | none | 0.5312 | climate | 0.1336 | null | [] | 0 | 4 | normal | |
sarapohland/park-navigation | none | 0.5138 | climate | 0.2612 | null | [] | This dataset was obtained from a quadraped traversing a wooded park. The dataset contains 13,839 RGB images (sized 240x320) taken from different regions within the park environment that appear visually different. All images are labeled as corresponding to one of eight regions:
1. Grassy region at center of park (3,264... | 2,120 | 3 | normal |
DCAgent2/DCAgent2_bfcl-parity_laion_rl_tp4s64_8x_flat25_baseline_20260227_210219 | none | 0.8005 | biology | 0.1318 | null | [] | 0 | 15 | normal | |
RobotisSW/record-test | none | 0.9372 | code | 0.0583 | 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",
"... | 2,937 | 5 | normal |
SkillFactory-dev/OT_Ref_NoV13Part___openthoughts__1200000_end1400000__reflection_chunk_83 | code | 0.7108 | none | 0.2314 | null | [] | 0 | 5 | normal | |
reasoning-proj/j_c_dfiltered_DeepSeek-R1-Distill-Qwen-1_5B_madversarial_continue_with_wrong_reasoning_t70 | none | 0.5511 | code | 0.2341 | null | [] | 0 | 5 | normal | |
open-rl-leaderboard/results_v2 | none | 0.9667 | code | 0.0307 | null | [] | # Dataset Card for "results_v2"
[Leaderboard](https://huggingface.co/spaces/open-rl-leaderboard/leaderboard)
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 242 | 986 | normal |
jganzabalseenka/Tweet_2024-07-19T00_24hs | none | 0.4896 | finance | 0.14 | null | [] | 0 | 3 | normal | |
DanaAlduayji/sample_data | none | 0.4944 | climate | 0.1298 | null | [] | 0 | 5 | normal | |
shunyalabs/uzbek-speech-dataset | none | 0.6538 | code | 0.083 | null | [] | 0 | 24 | normal | |
sil-ai/senga-nt-asr-inferred-force-aligned-resemblyzer-diarization-multi-speaker | none | 0.8917 | code | 0.046 | null | [] | 0 | 10 | normal | |
ainewtrend01/Srr5 | none | 0.3461 | biology | 0.1788 | null | [] | 0 | 4 | normal | |
TAUR-dev/test_MEASURES__v3_8d_eval | none | 0.3972 | biology | 0.259 | null | [] | 0 | 5 | normal | |
chiyuanhsiao/text_L2-regular-SQA_IFEval | none | 0.6458 | code | 0.1201 | null | [] | 0 | 4 | normal | |
open-llm-leaderboard-old/details_ShenaoZhang__0.001_idpo_noreplacerej_iter_2 | none | 0.9671 | code | 0.0179 | null | [] | # Dataset Card for Evaluation run of ShenaoZhang/0.001_idpo_noreplacerej_iter_2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [ShenaoZhang/0.001_idpo_noreplacerej_iter_2](https://huggingface.co/ShenaoZhang/0.001_idpo_noreplacerej_iter_2) on the [Open... | 19,381 | 7 | normal |
DrRiceIO7/AlteredDataset | none | 0.7212 | code | 0.266 | null | [] | A dataset combining various different other datasets, including my datasets `megamergecreative`(reverse prompted from chunked stories, novels, and other data), `testingSCP`(the amount of data is so small, it probably does nothing, but I hope it adds a sorta background note), and `thebigdataset-cleaned`(which already co... | 621 | 3 | normal |
datacomp/imagenet-1k-random-30.0-frac-1over32 | none | 0.9072 | code | 0.0306 | null | [] | 0 | 4 | normal | |
abun12/abun-text-dataset-v32 | none | 0.9508 | code | 0.0336 | null | [] | This is a simple text dataset created for learning and testing purposes on Hugging Face.
| 90 | 5 | normal |
FrancophonIA/Termcat_Road_Safety | none | 0.9563 | cybersecurity | 0.0152 | null | [] | > [!NOTE]
> Dataset origin: https://live.european-language-grid.eu/catalogue/lcr/19337
## Description
Terms in Road Safety
## Citation
```
Termcat Road Safety (2022). Version unspecified. [Dataset (Lexical/Conceptual Resource)]. Source: European Language Grid. https://live.european-language-grid.eu/catalo... | 338 | 4 | normal |
saad-kw-almutairi/pii-masking-200k | legal | 0.5808 | cybersecurity | 0.2959 | legal | [
"legal",
"business",
"psychology",
"privacy"
] | # Ai4Privacy Community
Join our community at https://discord.gg/FmzWshaaQT to help build open datasets for privacy masking.
# Purpose and Features
Previous world's largest open dataset for privacy. Now it is [pii-masking-300k](https://huggingface.co/datasets/ai4privacy/pii-masking-300k)
The purpose of the dataset ... | 12,221 | 29 | normal |
jojo12345678910/humaneval-java-keyboard-typo | none | 0.67 | code | 0.2479 | null | [] | 0 | 4 | normal | |
andrewsiah/PersonaPromptPersonalLLM_113 | none | 0.9745 | code | 0.0184 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_113"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 4 | normal |
hadiqaemi/subject-triples | none | 0.4178 | chemistry | 0.1458 | null | [] | 0 | 4 | normal | |
villekuosmanen/agilex_wipe_table_l2r_avoid | none | 0.9055 | code | 0.0896 | 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",
"... | 3,885 | 103 | normal |
COREVQA2025/COREVQA | none | 0.9134 | code | 0.0761 | null | [
"visual-question-answering",
"visual-entailment",
"binary-classification",
"reasoning",
"multimodal",
"fine-grained-analysis",
"text-comprehension",
"crowds",
"crowd-human",
"human-centric",
"dense-scenes",
"occlusion",
"real-world",
"adversarial",
"challenging",
"true-false",
"compl... | # COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark
* **Paper:** [https://www.arxiv.org/abs/2507.13405](https://www.arxiv.org/abs/2507.13405)
* **Repository:** [https://github.com/corevqa/COREVQA](https://github.com/corevqa/COREVQA)
* **Demo:** [https://colab.research.google.com... | 1,494 | 146 | normal |
open-llm-leaderboard-old/details_nbeerbower__flammen6-mistral-7B | none | 0.9592 | biology | 0.0188 | null | [] | # Dataset Card for Evaluation run of nbeerbower/flammen6-mistral-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [nbeerbower/flammen6-mistral-7B](https://huggingface.co/nbeerbower/flammen6-mistral-7B) on the [Open LLM Leaderboard](https://huggingfac... | 19,253 | 9 | normal |
llm-semantic-router/mlcommons-ai-safety-synth | cybersecurity | 0.9423 | none | 0.0525 | null | [
"safety",
"content-moderation",
"mlcommons",
"ai-safety",
"synthesized"
] | # MLCommons AI Safety Synthesized Dataset
Synthesized training data for AI safety classifiers based on the **MLCommons AI Safety Hazard Taxonomy**.
## Dataset Description
This dataset contains **12,000 synthesized unsafe prompts** across 6 hazard categories, designed to augment training data for content safety class... | 3,719 | 40 | new_discovery |
wghezaiel/TunisianWikipedia-QA | none | 0.5427 | code | 0.1362 | null | [] | 0 | 5 | normal | |
JollyRed/010_pickplace_googleball_3Cam_MQ | none | 0.7538 | code | 0.2138 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # 010_pickplace_googleball_3Cam_MQ
**This dataset was generated using [phosphobot](https://docs.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.
To get started ... | 397 | 6 | normal |
NiryoRobotics/niryo_bag_folding_part_11 | none | 0.8984 | code | 0.0966 | 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",
"... | 4,306 | 5 | normal |
guanning-ai/guess_3 | none | 0.6617 | chemistry | 0.0874 | null | [] | 0 | 27 | normal | |
pmoller/ww_dataset_abs_joint_abs_eef | none | 0.912 | code | 0.0831 | null | [
"ur5"
] | 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",
"... | 3,170 | 16 | normal |
tmpmodelsave/llama3_sft_math_type12_8ktype4_and_8ktype3200tmp10 | none | 0.4814 | math | 0.3338 | null | [] | 0 | 3 | normal | |
arjunashok/medical-3day-zeroshot-freshexps-no-context | none | 0.5588 | medical | 0.1527 | null | [] | 0 | 7 | normal | |
ahmedheakl/asm2asm_O0_100000_gnueabi_gcc | code | 0.8556 | none | 0.0667 | null | [] | # Dataset Card for "asm2asm_O0_100000_gnueabi_gcc"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 183 | 3 | new_discovery |
bdr-ai-org/insurance-policy-docs-dataset | legal | 0.9932 | none | 0.0038 | null | [
"insurance",
"RAG",
"knowledge-management",
"policy-documents",
"decision-intelligence"
] | # Insurance Policy Documents Dataset
This dataset supports **Insurance Knowledge Agent** — a RAG-powered AI system for policy interpretation and clause conflict resolution.
It is designed to evaluate retrieval accuracy, answer quality, and citation reliability in insurance knowledge workflows.
> **Built using [BDR A... | 3,958 | 17 | new_discovery |
averoo/sah-ru-parallel-corpora-raw-on-tuned-2 | none | 0.7809 | code | 0.1269 | null | [] | 0 | 10 | normal | |
dgambettaphd/D_mis72_run0_gen4_WXS_doc1000_synt64_lr1e-04_acm_FRESH | none | 0.7035 | code | 0.1047 | null | [] | 0 | 10 | normal | |
sert121/adult_data_instruction_containing_a_e_m_o_h_test_shuffled_1 | none | 0.9148 | legal | 0.0712 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_5_features
# Features Used
['age', 'education', 'marital-status', 'occupation', 'hours-per-week']
## Dataset Description
Top 5 features selected from the adult dataset by th... | 326 | 4 | normal |
french-open-data/part-des-vehicules-a-faibles-emissions-dans-le-renouvellement-d-un-parc-organisation-abb-france | none | 0.7224 | cybersecurity | 0.2584 | null | [
"loi-lom-declaration-de-verdissement-de-flotte",
"verdissement-flotte",
"dataset_for_agent"
] | # Part des véhicules à faibles émissions dans le renouvellement d'un parc (organisation ABB France)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Part des véhicules à faibles émissions dans le renouvellement d'un parc (organisation ABB France)** qui es... | 740 | 7 | normal |
distilabel-internal-testing/airoboros-3.2-writing | code | 0.5319 | none | 0.2666 | null | [] | 0 | 3 | normal | |
french-open-data/algorithmes-mis-en-oeuvre-par-la-ville-d-antibes | cybersecurity | 0.9513 | none | 0.042 | null | [
"acces",
"algorithme",
"decisions",
"donnees",
"procedure",
"transparence",
"dataset_for_agent"
] | # Algorithmes mis en oeuvre par la Ville d'Antibes
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Algorithmes mis en oeuvre par la Ville d'Antibes** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/601415b2c0afd4b5f8be9d0c
## Descriptio... | 1,674 | 15 | new_discovery |
jmw125/bimanual-teleop-sim-alpha-20 | none | 0.9228 | code | 0.07 | 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",
"... | 4,875 | 5 | normal |
liweijiang/helpsteer3_v1 | none | 0.5632 | code | 0.1033 | null | [] | 0 | 4 | normal | |
jeqcho/qwen-2.5-3b-instruct-lion-numbers-run-2 | none | 0.7211 | code | 0.2387 | null | [] | 0 | 13 | normal |
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