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 |
|---|---|---|---|---|---|---|---|---|---|---|
adroitLee/260106_ep10_tongs_fail | none | 0.9109 | code | 0.0844 | 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",
"... | 3,580 | 5 | normal |
patrickblanks/PLUGILO-Dataset1 | none | 0.889 | code | 0.0474 | 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 PLUGILO-Dataset1
This dataset has been created ... | 1,965 | 4 | normal |
Adanato/no_qwen3_6_clusters | none | 0.8641 | code | 0.0523 | null | [] | # no_qwen3_6_clusters
This repository contains k-means cluster subsets for training. Each subset is a config (`name=cluster_X`), backed by Parquet.
## Load examples
```python
from datasets import load_dataset
# Single cluster
ds0 = load_dataset("{username}/no_qwen3_6_clusters", name="cluster_0")
# Specific cluster... | 562 | 16 | normal |
clips/mteb-nl-opentender-cls | none | 0.9396 | code | 0.0559 | null | [] | # Dataset Card for "mteb-nl-opentender-cls"
## Citation Information
If you find our paper, benchmark or models helpful, please consider cite as follows:
```latex
@misc{banar2025mtebnle5nlembeddingbenchmark,
title={MTEB-NL and E5-NL: Embedding Benchmark and Models for Dutch},
author={Nikolay Banar and Ehs... | 613 | 13 | normal |
agi-noobs/chess-sft-2k-llm-reasoning-enriched | none | 0.8112 | code | 0.0918 | null | [] | 0 | 9 | normal | |
Dongkkka/koch_arm_gripper_pick_red_pen | none | 0.9306 | code | 0.0657 | null | [
"koch_test"
] | 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",
"... | 3,585 | 5 | normal |
dddraxxx/sealvqa-vaw-spatial-10k | none | 0.6352 | climate | 0.0923 | null | [] | 0 | 10 | normal | |
NadineMostafa/AnghaBench-armv8-O2-native-clang-75percent | none | 0.8004 | code | 0.1295 | null | [] | 0 | 5 | normal | |
Mobiusi/Open-Office-Workstation-Usage-Detection-Dataset | none | 0.6148 | cybersecurity | 0.3507 | null | [
"Object detection",
"image classification",
"space utilization analysis",
"Office space management",
"workstation usage analysis",
"smart building"
] | # Open Office Workstation Usage Detection Dataset
A major core advantage of this dataset is its data quality. The annotation process ensures more than 95% accuracy and consistency, covering various lighting conditions and office scenarios. Its technological innovation lies in the use of advanced image enhancement tech... | 2,947 | 16 | normal |
jonyshaik/so101 | none | 0.3758 | chemistry | 0.1172 | null | [] | 0 | 42 | normal | |
french-open-data/lieux-de-mediation-numerique-sur-le-territoire-ile-de-france-fournis-par-francil-in | cybersecurity | 0.4461 | none | 0.3845 | null | [
"inclusion",
"inclusion-numerique",
"lieux-d-inclusion-numerique",
"lieux-de-mediation-numerique",
"mediation",
"mediation-numerique",
"dataset_for_agent"
] | # Lieux de médiation numérique sur le territoire Île-de-France fournis par Francil-in
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Lieux de médiation numérique sur le territoire Île-de-France fournis par Francil-in** qui est disponible à l'adresse htt... | 762 | 7 | boundary |
racheli200025/commodity_trade_statistics_data | biology | 0.4027 | none | 0.2919 | null | [] | # Global Agricultural Trade Analysis (1990–2016)
This dataset contains international trade data focused on agricultural commodities across selected countries: Israel, USA, Italy, Netherlands, Argentina, and South Africa.
The dataset was cleaned, filtered, and analyzed as part of an Exploratory Data Analysis (EDA) as... | 6,192 | 5 | boundary |
Robin435435/What-discount-do-family-and-friends-get-from-Hilton | none | 0.7582 | legal | 0.1851 | null | [] | The Hilton Friends & Family program gives eligible guests up to 50% off the Standard Flexible Rate. This discount applies when added by an employee to their approved list. For booking details, call +𝟭-𝟴𝟱𝟱 𝟱𝟰𝟮 𝟵𝟯𝟭𝟱. Assistance is also available by dialing +𝟭-𝟴𝟱𝟱 𝟱𝟰𝟮 𝟵𝟯𝟭𝟱.
Hilton employees can exten... | 4,999 | 5 | normal |
lerobot/aloha_static_candy | none | 0.962 | code | 0.0335 | null | [
"aloha"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** https://tonyzhaozh.github.io/aloha/
- **Paper:** https://arxiv.org/abs/2304.13705
- **License:** mit
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2... | 5,621 | 731 | normal |
jnisabe/spanish-supermarket-products | none | 0.9837 | finance | 0.0074 | null | [] | Columns:
supermarket: supermarket name (Eroski, Mercadona, Alcampo)
product_code: supermarket's product id
category: product category ( frutas, verduras, salsas, pasta, bollería, etc...)
name: product name and description
price: product price (euros)
---
license: apache-2.0
--- | 284 | 10 | normal |
hendrydong/filtered_61K_seed28 | none | 0.4343 | climate | 0.1841 | null | [] | 0 | 4 | normal | |
cijerezg/eval_pickplace-single-task-v1.01 | none | 0.8891 | code | 0.1073 | 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",
"... | 4,211 | 6 | normal |
IvanLee/grasp_boxes_08 | none | 0.9032 | code | 0.0912 | 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",
"... | 4,213 | 6 | normal |
Wendy-Thompson-Lending-Team/va-funding-fees-2026 | finance | 0.9981 | legal | 0.001 | finance | [
"mortgage",
"real-estate",
"finance",
"lending",
"thompson-mortgage-group",
"va",
"funding-fee",
"veterans",
"disability"
] | # VA Funding Fees 2026
44 VA funding fee scenarios with example calculations.
## Details
- **Records:** 44
- **Format:** JSONL
- **License:** CC-BY-4.0
- **Last Updated:** March 2026
- **Verified By:** Wendy Thompson, CPA, CDLP, NMLS #504814
- **Publisher:** Wendy Thompson Lending Team
## Thompson Alpha Logic
> 202... | 1,651 | 11 | normal |
francescocrivelli/test2 | none | 0.9062 | code | 0.0889 | null | [
"test",
"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",
"... | 3,589 | 36 | normal |
Leejungwook/peg_in_hole | none | 0.9148 | code | 0.0795 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=Leejungwook/peg_in_hole">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.s... | 3,982 | 13 | normal |
mpanda27/voxpopuli_pl_pseudo_labelled | none | 0.4678 | climate | 0.1703 | null | [] | 0 | 3 | normal | |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_nl2bash-nl2bash-bugsseq_Qwen3-8B-maxEps24-11290aeaba21 | none | 0.6317 | biology | 0.2478 | null | [] | 0 | 9 | normal | |
mteb/JinaVDRMMTabRetrieval | none | 0.9801 | code | 0.0122 | null | [
"mteb",
"text",
"image"
] | <!-- adapted from https://github.com/huggingface/huggingface_hub/blob/v0.30.2/src/huggingface_hub/templates/datasetcard_template.md -->
<div align="center" style="padding: 40px 20px; background-color: white; border-radius: 12px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); max-width: 600px; margin: 0 auto;">
<h1 styl... | 6,386 | 4 | normal |
samanthavaca/processed-diffusiondb-100-processed | none | 0.7052 | chemistry | 0.0747 | null | [] | 0 | 4 | normal | |
jacobbieker/dwd | climate | 0.8693 | none | 0.0912 | climate | [
"climate"
] | # Dataset Card for DWD Observations
<!-- Provide a quick summary of the dataset. -->
This dataset is a collection of historical German Weather Service (DWD) weather station observations at 10 minutely, and hourly resolutions for various parameters. The data has been
converted to Zarr and Xarray. The data was gathered... | 4,409 | 37 | normal |
vaibhavad/echo-data-rewritten-queries-hard-negative-qwen3-8b | none | 0.7825 | code | 0.1099 | null | [] | 0 | 16 | normal | |
shirasu206/ur5e_dataset_20251015_v10 | none | 0.9019 | code | 0.0942 | null | [
"ur5e",
"pi0",
"robot-dataset"
] | 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",
"... | 2,444 | 5 | normal |
DCAgent2/dev_set_v2_bugs_swesmith_reason_20260317_045725 | none | 0.68 | code | 0.2156 | null | [] | 0 | 13 | normal | |
dormosol/asqa_dpr_pyserini_top100_with_text | none | 0.6154 | climate | 0.0992 | null | [] | 0 | 64 | normal | |
mlnomad/imnet1k_turnstile | none | 0.5979 | code | 0.0815 | null | [] | 0 | 5 | normal | |
zjhhhh/iter2_7b_multi_scores_adversary_47 | none | 0.8029 | code | 0.0614 | null | [] | 0 | 4 | normal | |
JianZhou0420/libero_openvla_LeRobotv3_0 | none | 0.8535 | code | 0.1402 | null | [
"libero",
"panda",
"lerobot-v3"
] | 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",
"... | 2,527 | 331 | normal |
Lowerated/imdb-reviews-rated | none | 0.9643 | medical | 0.0096 | null | [
"movies",
"rating",
"imdb",
"rotten tomatoes",
"ai"
] | # IMDB Reviews with Aspect Based Sentiment Scores
## Dataset Description
**Name**: imdb-reviews-with-aspect-based-sentiment-scores
**Organization**: LOWERATED
**License**: Apache License 2.0
**Language**: English
**Task Categories**: Text Classification
**Tags**: Movies, Ratings, IMDB, Rotten Tomatoes, AI ... | 3,044 | 6 | normal |
VTSNLP/base_vanhoc_general | none | 0.6527 | climate | 0.136 | null | [] | 0 | 3 | normal | |
gustmd0121/single-lead-II-ecg-mtd-dataset | chemistry | 0.6921 | none | 0.154 | null | [] | 0 | 23 | normal | |
cmcmaster/drug_parsing_thinking | chemistry | 0.4327 | none | 0.3375 | null | [] | 0 | 4 | boundary | |
sril32996/synthAIze_en_tel_colloquial_translation | none | 0.9454 | finance | 0.0299 | null | [] | The dataset contains two columns: one column has text in english and second column contains text in telugu.
---
license: mit
size_categories:
- 10K<n<100K
language:
- te
--- | 174 | 4 | normal |
mark-22/Deepthinking-sft_alfworld_v4 | none | 0.6905 | code | 0.1168 | null | [] | 0 | 16 | normal | |
japanese-asr/whisper_transcriptions.reazonspeech.small | none | 0.6218 | climate | 0.1259 | null | [] | 0 | 20 | normal | |
shashank2806/koch_test_2 | none | 0.9304 | code | 0.0646 | null | [
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.0",
"... | 2,943 | 4 | normal |
OpenGVLab/OmniCorpus-YT | none | 0.8714 | code | 0.1191 | null | [] | <p align="center">
<h1 align="center">🐳 OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text</h1>
</p>
This is the repository of OmniCorpus-YT, which contains 10 million image-text interleaved documents collected from Youtube videos.
- Repository: https://github.com/OpenGVLab/O... | 8,259 | 470 | normal |
zjhhhh/Qwen3b_rlcf_rerun_part2 | none | 0.5124 | biology | 0.1201 | null | [] | 0 | 5 | normal | |
teamcore/DPO_Pm3B_RMAB_TG_clean_beta0.25dpo_proEurus_RM_7b_nu0.3_CR_cr_trajfullg | none | 0.6068 | code | 0.2514 | null | [] | 0 | 4 | normal | |
nouhad/multiplication_train_10x1 | none | 0.811 | math | 0.1499 | null | [] | # Multiplication Dataset - multiplication_train_10x1
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 |
cornfieldrm/pair-preference-dataset-700K_subset-4-of-4_gemma-2b_1of4_iter1_bs128_lr1e-5_conf-0.7_slic | none | 0.6581 | biology | 0.1191 | null | [] | 0 | 5 | normal | |
felix-chen/record-test_2 | none | 0.9437 | code | 0.0505 | 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",
"... | 2,940 | 5 | normal |
kyama0321/yesno | none | 0.4205 | climate | 0.1206 | null | [] | 0 | 5 | normal | |
annamkiepura99/sentence-cited-papers-metadata | none | 0.6475 | chemistry | 0.0697 | null | [] | 0 | 5 | normal | |
haosulab/ManiSkill_PushCube | none | 0.9568 | code | 0.031 | null | [
"robotics",
"reinforcement learning",
"embodied ai",
"computer vision",
"simulation"
] | # ManiSkill PushCube Demonstrations
Contains demonstrations sourced through the following methods:
- Motion Planning (~1000)
- Human (via interactive motion planning) demonstrations (WIP)
- Reinforcement Learning demonstrations (~1000)
<video autoplay>
<source src="https://huggingface.co/datasets/haosulab/ManiSkill_... | 377 | 56 | normal |
BangumiBase/oneroomhiatarifutsuutenshitsuki | none | 0.9734 | code | 0.0191 | null | [
"art"
] | # Bangumi Image Base of One Room, Hiatari Futsuu, Tenshi-tsuki
This is the image base of bangumi One Room, Hiatari Futsuu, Tenshi-tsuki, we detected 31 characters, 4289 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy a... | 10,927 | 730 | normal |
Dongkkka/ffw_bg2_rev4_1203_screwdriver | none | 0.8667 | code | 0.1284 | null | [
"ffw_bg2_rev4",
"robotis"
] | 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",
"... | 5,247 | 16 | normal |
nave1616/Building-Urban-Climate | climate | 0.9553 | none | 0.0286 | null | [] | # Urban Climate Dataset
## Dataset Description
This dataset is part of the Urban Climate project. It contains satellite images of urban areas and corresponding segmentation masks that are used for building detection and segmentation tasks.
### Files and Structure:
- **train/**: Contains training images and masks.
... | 836 | 3 | new_discovery |
open-llm-leaderboard-old/details_chatty123__mistral_rank32_dpo | none | 0.978 | code | 0.0145 | null | [] | # Dataset Card for Evaluation run of chatty123/mistral_rank32_dpo
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [chatty123/mistral_rank32_dpo](https://huggingface.co/chatty123/mistral_rank32_dpo) on the [Open LLM Leaderboard](https://huggingface.co/s... | 19,306 | 9 | normal |
giovannidemuri/alpacaGPT4_llama8b-v131-jb-seed2-alpaca_512_ngt0.7_tp0.9 | none | 0.8217 | code | 0.085 | null | [] | 0 | 6 | normal | |
EOM0722/trainset | none | 0.2875 | biology | 0.2358 | null | [] | 0 | 3 | normal | |
Spirit-26/BraTS-2024-Complete | medical | 0.9812 | none | 0.0086 | null | [
"medical-imaging",
"brain-tumor",
"segmentation",
"mri",
"brats-2024",
"brats"
] | # BraTS 2024 Complete Prepared Dataset
## Brain Tumor Segmentation (Leave a like 💖 if this helped you)
## Dataset Description
This is an organized and verified version of the BraTS 2024 challenge datasets, including three tumor types.
### Included Datasets
| Dataset | Type | Cases | Source |
|---------|------|----... | 2,553 | 10,520 | new_discovery |
ShynBui/Vietnamese_spelling_error | none | 0.9305 | code | 0.052 | null | [
"Spelling Correction ",
"Vietnamese",
"NLP",
"Error Correction",
"Text Processing"
] | # Vietnamese Spelling Error Dataset
This dataset contains examples of Vietnamese text with spelling errors and their corresponding corrections. It is intended to be used for training and evaluating models in spelling correction tasks, particularly for the Vietnamese language.
## Dataset Summary
- **Name**: Vietnames... | 2,103 | 14 | normal |
pythainlp/thai-local-language-translation-dataset | none | 0.9895 | legal | 0.003 | null | [] | # Thai Local Language Translation Dataset
Thai Local Language Translation Dataset is a translation dataset for translate Thai Local Language to Thai Central Language. We create the dataset from [Thai Dialect Corpus (Thai dialects ASR corpus)](https://github.com/SLSCU/thai-dialect-corpus). We select train set only from... | 1,327 | 103 | normal |
jhugentobler/MNLP_M3_quantized_dataset | none | 0.3956 | chemistry | 0.1597 | null | [] | 0 | 2 | normal | |
kornwtp/alt-tha-khm-bitextmining | none | 0.5202 | chemistry | 0.1311 | null | [] | 0 | 102 | normal | |
facebook/OMC25 | chemistry | 0.9976 | none | 0.0013 | chemistry | [
"chemistry"
] | <h1 align="center" style="font-size: 36px;">
Open Molecular Crystals 2025 (OMC25)<br>
Dataset
</h1>
<p align="center">
<img width="800" src="./omc25.svg">
</p>
## Dataset
#### LICENSE: The OMC25 dataset is provided under a CC-BY-4.0 license
OMC25 represents the largest high quality molecular crystal DFT dataset.
... | 5,393 | 180 | normal |
french-open-data/comptes-rendus-succincts-des-conseils-municipaux-de-soissons | cybersecurity | 0.3947 | none | 0.3153 | null | [
"compte-rendu",
"conseil-municipal",
"dataset_for_agent"
] | # Comptes rendus succincts des conseils municipaux de Soissons
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Comptes rendus succincts des conseils municipaux de Soissons** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/685922e3ad3d592... | 810 | 9 | boundary |
Rimyy/DataFormatLlamaMath | none | 0.399 | code | 0.1967 | null | [] | 0 | 8 | normal | |
french-open-data/liste-des-referents-donnees-algorithmes-et-codes-sources-en-prefecture-de-region | cybersecurity | 0.9209 | none | 0.0679 | null | [
"algorithme",
"codes-sources",
"donnees",
"prefecture",
"prefectures",
"dataset_for_agent"
] | # Liste des référents données, algorithmes et codes sources en préfecture de région
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Liste des référents données, algorithmes et codes sources en préfecture de région** qui est disponible à l'adresse https:/... | 1,051 | 7 | new_discovery |
sodabori/20251103_BoNComp_256_0 | none | 0.4555 | biology | 0.16 | null | [] | 0 | 7 | normal | |
Asap7772/barc-processed-train-Qwen3-4B-samp16-8of16 | none | 0.692 | climate | 0.1071 | null | [] | 0 | 23 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_3c065206-b1fb-4720-ba8a-1290d80b9d29 | none | 0.6139 | code | 0.186 | null | [] | 0 | 4 | normal | |
obiwan96/obiwan96open_web_math_qav2_23232_34848 | none | 0.804 | biology | 0.0405 | null | [] | 0 | 3 | normal | |
VarunKVK/landing-page-generation | none | 0.4699 | climate | 0.2636 | null | [] | 0 | 7 | normal | |
test-gen/code_livecodebench_qwen2.5-7b_t1.0_n8_tests_livecodebench_qwen-7b-easy-unique_t0.0_n1 | code | 0.8569 | none | 0.1321 | null | [] | 0 | 5 | new_discovery | |
Gazou-Seiri-Bu/I2I-Paint | math | 0.6035 | none | 0.281 | null | [
"machine-learning",
"deep-learning"
] | # I2I-Paint
## 概要
AI画像生成をしていて「I2Iの為に画像を加工したいけど
フォトショやクリスタを起動するほどではない」 「液タブの電源を入れるほどではない」というような
ちょっとした加筆修正の時に使えるペイントソフトのpythonコードです。<br>
出来た画像はクリップボードにコピーしてA1111のI2Iウインドウや
ComfyUIのload Imageノードにペーストできます。<br>
実行にはpythonのインストールが必要です。
Win11で動作確認しています。私の5700Xの環境では高速でカーソルを動かすと線が途切れるので同等以上のCPU推奨です。
また、ペ... | 2,762 | 163 | normal |
alakxender/dhivehi-vrd-batch-2-img-questions | none | 0.9698 | code | 0.0178 | null | [
"thaana",
"dhivehi",
"ocr"
] | # Dhivehi Single-Line Text-Image Dataset
A collection of synthetic Dhivehi text images for training and evaluating text-image / vision models etc.
Each image contains a single line of Dhivehi text with various visual styles and augmentations (Check the config field for more info on the row).
***Note: This dataset i... | 369 | 19 | normal |
french-open-data/paot-2022-2027-actions-prevues-en-bretagne-gouvernance-gestion-concertee | cybersecurity | 0.8639 | none | 0.1226 | null | [
"bretagne",
"donnees-ouvertes",
"gestion-de-leau",
"hydrographie",
"inspire",
"paot",
"plan-d-action-operationnel-territorialise",
"sdage",
"dataset_for_agent"
] | # PAOT 2022-2027 - Actions prévues en Bretagne - Gouvernance / Gestion concertée
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **PAOT 2022-2027 - Actions prévues en Bretagne - Gouvernance / Gestion concertée** qui est disponible à l'adresse https://www.d... | 1,478 | 7 | new_discovery |
ColeD0/nq_embeddings | none | 0.3969 | climate | 0.2356 | null | [] | 0 | 5 | normal | |
wengmister/box_pnp | none | 0.9689 | code | 0.0245 | 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",
"... | 6,424 | 5 | normal |
GreenNode/cqadupstack-android-vn | none | 0.9692 | code | 0.0157 | null | [
"mteb",
"text-retrieval",
"vietnamese"
] | ## How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
```python
import mteb
task = mteb.get_tasks(["CQADupstackAndroid-VN"])
evaluator = mteb.MTEB(task)
model = mteb.get_model(YOUR_MODEL)
evaluator.run(model)
```
<!-- Datasets want link to arxiv in readme to a... | 3,340 | 1,224 | normal |
andlyu/newiii_many_y_3d_val | none | 0.9131 | code | 0.0826 | 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",
"... | 4,859 | 14 | normal |
minxu555/test | none | 0.3421 | climate | 0.2069 | null | [] | 0 | 5 | normal | |
m-a-p/CII-Bench | none | 0.9761 | code | 0.008 | null | [
"life",
"art",
"society",
"environment",
"politics",
"Chinese traditional culture"
] | # CII-Bench
[**🌐 Homepage**](https://cii-bench.github.io/) | [**🤗 Dataset**](https://huggingface.co/datasets/m-a-p/CII-Bench) | [**GitHub**](https://github.com/MING-ZCH/CII-Bench) | [**🤗 Paper**](https://huggingface.co/papers/2410.13854) | [**📖 arXiv**](https://arxiv.org/abs/2410.13854)
<div style="text-align: ... | 2,332 | 246 | normal |
open-llm-leaderboard-old/details_222gate__BrurryDog-7b-v0.1 | none | 0.9517 | code | 0.0229 | null | [] | # Dataset Card for Evaluation run of 222gate/BrurryDog-7b-v0.1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [222gate/BrurryDog-7b-v0.1](https://huggingface.co/222gate/BrurryDog-7b-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hug... | 19,205 | 20 | normal |
wls04/GSM8K_LQ_Sharegpt | none | 0.388 | biology | 0.1228 | null | [] | 0 | 5 | normal | |
vatolinalex/opp115_data_security_legal_bench | legal | 0.7373 | none | 0.1012 | null | [] | 0 | 4 | normal | |
Nancy0211/self-alignment-curated-dataset | none | 0.5017 | biology | 0.1728 | null | [] | 0 | 0 | normal | |
juanmoisesdelas/conectomica-cerebral-humana-base-de-datos-de-conec | none | 0.8382 | medical | 0.0619 | null | [
"open-data",
"latin-america",
"zenodo"
] | # Conectómica Cerebral Humana: Base de Datos de Conectividad Estructural y Funcional
[](https://doi.org/10.5281/zenodo.18881126)
[](http://creativecommons.org/publicdomain/zero/1.0/)... | 1,663 | 7 | normal |
jskim/record-picknplace_2view_rgbd_2 | none | 0.9151 | code | 0.0803 | 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",
"... | 3,582 | 6 | normal |
reasoning-degeneration-dev/t1-enhanced-eval-together_ai-qwen-qwen3-next-80b-a3b-thin-8b738352 | none | 0.8076 | code | 0.156 | null | [
"t1_synthesize_knowledge",
"enhanced_evaluation",
"countdown",
"comparison"
] | # t1-enhanced-eval-together_ai-qwen-qwen3-next-80b-a3b-thin-8b738352
Enhanced evaluation results comparing base model performance against performance with synthesized domain knowledge injected into the prompt.
## Performance Comparison
| Metric | Base | Enhanced | D... | 11,332 | 21 | normal |
jkazdan/cleaned-gpt-4o-traces | code | 0.435 | none | 0.2292 | null | [] | 0 | 5 | normal | |
Trelis/atc-draft-no-confidence-filter | none | 0.9828 | finance | 0.0056 | null | [
"audio",
"speech",
"whisper",
"dataset"
] | # atc-draft-no-confidence-filter
Speech dataset prepared with Trelis Studio.
## Statistics
| Metric | Value |
|--------|-------|
| Source files | 2 |
| Train samples | 12 |
| Total duration | 3.5 minutes |
## Columns
| Column | Type | Description |
|--------|------|-------------|
| `audio` | Audio | Audio segment ... | 2,374 | 18 | normal |
tiendung6b/qwen3-4b-instruct-2507-ioi_2024_16k | none | 0.7583 | biology | 0.1096 | null | [] | 0 | 5 | normal | |
saudefem/SEMRAG_SEMFINET_qwen3_v1 | biology | 0.4275 | none | 0.2562 | null | [] | 0 | 4 | normal | |
melhoushi/xh_gptq_dataset | none | 0.553 | chemistry | 0.1537 | null | [] | 0 | 5 | normal | |
kowndinya23/flan2022-4096-16-tasks-gc-100000-instances-logdet | none | 0.9747 | code | 0.0197 | null | [] | # Dataset Card for "flan2022-4096-16-tasks-gc-100000-instances-logdet"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 203 | 6 | normal |
WeiChow/cc3m | none | 0.4355 | code | 0.3774 | null | [] | This repo is CC3M's unofficial huggingface repo.
However, for the large picture, we process it as follow and then upload:
```python
if pil_image.width > 1024 or pil_image.height > 1024:
pil_image = pil_image.resize((1024, 1024), Image.BICUBIC)
``` | 252 | 490 | normal |
varunsai7781/SQL-Queries-Dataset | code | 0.3891 | none | 0.2292 | null | [] | 0 | 8 | normal | |
SimeonOA/Botany-Bot | biology | 0.9726 | none | 0.0211 | null | [
"robotics",
"computer_vision",
"gaussian_splatting",
"plant_phenotyping"
] | # Dataset Card for Botany-Bot
<!-- Provide a quick summary of the dataset. -->
The Botany-Bot dataset contains data from 8 potted plants collected using a lightbox and digital turntable at AUTOLab @UC Berkeley, USA.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -... | 6,546 | 131 | new_discovery |
Bipul8765/exam_questions | none | 0.8861 | code | 0.0952 | null | [
"rlfh",
"argilla",
"human-feedback"
] | # Dataset Card for exam_questions
This dataset has been created with [Argilla](https://github.com/argilla-io/argilla). As shown in the sections below, this dataset can be loaded into your Argilla server as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load... | 3,961 | 3 | normal |
french-open-data/indicateurs-pour-le-suivi-national-des-objectifs-de-developpement-durable-17-objectifs | cybersecurity | 0.903 | legal | 0.0472 | null | [
"accidents-de-la-route",
"accidents-du-travail",
"aide-publique-au-developpement",
"aires-protegees",
"animaux-antibiotiques",
"artificialisation-des-sols",
"boisement",
"competences",
"conditions-de-travail",
"confiance-dans-les-institutions",
"consommation-de-matieres",
"consommation-denergi... | # Indicateurs pour le suivi national des objectifs de développement durable : 17 objectifs
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Indicateurs pour le suivi national des objectifs de développement durable : 17 objectifs** qui est disponible à l'a... | 1,346 | 5 | new_discovery |
zjhhhh/Qwen7b_rlcf_iter2_10000 | none | 0.4231 | chemistry | 0.2515 | null | [] | 0 | 5 | normal | |
ryanw3218/eval_act_white_into_circle | none | 0.9384 | code | 0.0563 | 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"... | 3,073 | 16 | normal |
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