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 |
|---|---|---|---|---|---|---|---|---|---|---|
maxseats/aihub-464-preprocessed-680GB-set-12-testing | none | 0.7211 | code | 0.0796 | null | [] | 0 | 3 | normal | |
lerobot-data-collection/rac13 | none | 0.941 | code | 0.054 | 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",
"... | 4,958 | 8 | normal |
erisdataworks/solar-3d | none | 0.539 | climate | 0.3199 | null | [] | # 🌌 3D Solar System Animation – All Planets
This project is a **3D animation of the Solar System** built using Python's `matplotlib` and `numpy`.
It visualizes the orbits of **all eight planets** around the Sun in an interactive and animated 3D model.
Developed by **Eris Dataworks**, part of the **Berinspa** open ... | 2,866 | 8 | normal |
jkazdan/refusal-attack-anthropic | none | 0.3935 | cybersecurity | 0.207 | null | [] | 0 | 4 | normal | |
french-datasets/Alwaly-multilingual-wolof-french-en | none | 0.9766 | cybersecurity | 0.0092 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données huggingface.co/datasets/Alwaly/multilingual-wolof-french-en. | 148 | 4 | normal |
sms25444/sex-novel | none | 0.6234 | biology | 0.1707 | null | [] | 0 | 36 | normal | |
BangumiBase/jidouhanbaikiniumarekawattaorewameikyuuwosamayou | none | 0.9765 | code | 0.0181 | null | [
"art"
] | # Bangumi Image Base of Jidou Hanbaiki Ni Umarekawatta Ore Wa Meikyuu Wo Samayou
This is the image base of bangumi Jidou Hanbaiki ni Umarekawatta Ore wa Meikyuu wo Samayou, we detected 80 characters, 4350 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to ... | 26,349 | 901 | normal |
anonfactpod/insurance-10-factpod-e-threshold-0 | none | 0.7836 | code | 0.1687 | null | [] | This dataset is licensed under CC BY 4.0.
However, portions of this dataset consist of outputs generated by Meta’s Llama‑2 model. Under the Llama 2 Community License Agreement, these outputs are subject to the following required restriction:
“You will not use the Llama Materials or any output or results of the Llam... | 681 | 3 | normal |
cairocode/MSPP_TEST_MEL_6 | code | 0.571 | none | 0.2098 | null | [] | 0 | 7 | normal | |
ricclql/gamedev-copilot-2 | none | 0.7091 | code | 0.1291 | null | [] | 0 | 4 | normal | |
quin210/dpo-pool-vqa-80k | none | 0.4376 | code | 0.1723 | null | [] | 0 | 39 | normal | |
jeff4000/trace_neveroom_base | none | 0.2999 | code | 0.2669 | null | [] | 0 | 18 | normal | |
Rick0331/lerobot-openarm-collect-bowl_depth_third6 | none | 0.9354 | code | 0.0576 | 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",
"... | 4,831 | 18 | normal |
emmanuelaboah01/qiu-v8-sft-stage1-full | none | 0.8092 | code | 0.0576 | null | [] | 0 | 34 | normal | |
french-open-data/montant-des-subventions-de-fonctionnement-versees-aux-associations-et-commerces-par-la-ville-de | cybersecurity | 0.8443 | legal | 0.0963 | null | [
"associations",
"commerce",
"subventions",
"dataset_for_agent"
] | # Montant des subventions de fonctionnement versées aux associations et commerces par la Ville de Soissons (hors Amicale du Personnel)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Montant des subventions de fonctionnement versées aux associations et c... | 978 | 6 | new_discovery |
DCAgent/DCAgent_dev_set_71_tasks_DCAgent_taskmaster2-3k-traces_20251112_012958 | none | 0.9186 | code | 0.0402 | null | [] | 0 | 11 | normal | |
selim-b-kh/buddhi-pragati-patch | none | 0.983 | legal | 0.0066 | null | [] | # Buddhi-Pragati Crossword Dataset
This dataset contains crossword clue-answer pairs extracted from multiple Indian language sources.
## Available Languages
### Assamese
- **Total Entries**: 6511
- **Sources**: IndicWikiBio, IndoWordNet
Quality Scores:
- **Quality Score Range**: 0.60 - 1.00
- **Average Quality Sco... | 2,016 | 5 | normal |
mteb/llm-eval-amazon_counterfactual | none | 0.4912 | code | 0.1101 | null | [] | 0 | 50 | normal | |
calvinh99/record-fortune-cookie-04 | none | 0.9463 | code | 0.0489 | 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",
"... | 2,938 | 6 | normal |
saudefem/RAG_SEMFINET_qwen7_v1 | none | 0.4193 | biology | 0.2758 | null | [] | 0 | 4 | normal | |
TomasFAV/RealDocumentInvoiceCzechNameEntityRecognition | legal | 0.3326 | none | 0.2409 | null | [] | 0 | 102 | boundary | |
french-open-data/asus-notebook-cr1104cta | cybersecurity | 0.8485 | none | 0.1102 | null | [
"dataset_for_agent"
] | # ASUS Notebook CR1104CTA
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **ASUS Notebook CR1104CTA** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/6852df79759a4aa00f0f026c
## Description
This dataset provides the repairability index s... | 1,363 | 7 | new_discovery |
jun-2018/sampling_multimodal_doc_pages_v4_augmented | none | 0.6585 | climate | 0.1519 | null | [] | 0 | 6 | normal | |
andrewsiah/PersonaPromptPersonalLLM_786 | none | 0.9773 | code | 0.0162 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_786"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 6 | normal |
mask-distilled-libri-one-sec-cv12/chunk_140 | none | 0.7211 | chemistry | 0.1044 | null | [] | 0 | 4 | normal | |
Helsinki-NLP/ofis_publik | none | 0.9883 | legal | 0.0077 | null | [] | # Dataset Card for OfisPublik
## 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)
... | 2,646 | 40 | normal |
avi8/coding_guide | none | 0.3605 | code | 0.2462 | null | [] | 0 | 3 | normal | |
NUSTM/ECGF | none | 0.9398 | biology | 0.0265 | null | [
"emotion-cause-analysis"
] | # Emotion-Cause-Generation-in-Friends (ECGF)
We shift the focus of emotion cause analysis from traditional span or utterance extraction to abstractive generation in multimodal conversations.
The **ECGF** dataset builds upon our [ECF](https://huggingface.co/datasets/NUSTM/ECF) dataset, containing conversations sourced... | 4,590 | 18 | normal |
sihyun77/eval_act_so100_test4 | none | 0.9241 | code | 0.0728 | 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"... | 3,731 | 8 | normal |
YxBxRyXJx/cut_TRV_train_10116 | climate | 0.3739 | none | 0.2558 | null | [] | 0 | 4 | boundary | |
Ekshan267/franka-place-cube-in-box-mimic-dataset | none | 0.9061 | code | 0.053 | null | [
"robotics",
"manipulation",
"imitation-learning",
"isaac-lab",
"isaac-lab-mimic",
"franka",
"pick-and-place",
"visuomotor"
] | # Franka Place Cube Into Box — Isaac Lab Mimic Dataset
## Dataset Summary
This dataset contains robot manipulation demonstrations for a **pick-and-place task** where a Franka Panda robot picks up a cube and places it inside an open box. Demonstrations were collected in [Isaac Lab](https://isaac-sim.github.io/IsaacLab... | 8,016 | 9 | normal |
wwwwwy1/minimind-v_dataset | none | 0.4823 | code | 0.3829 | null | [] | <div align="center">
</div>
<div align="center">
[](https://github.com/jingyaogong/minimind-v/stargazer... | 22,355 | 146 | normal |
juliadollis/wpp_pav_transcrito_wav2vec2-portuguese-wpp-checkpoint-480 | none | 0.8121 | code | 0.0644 | null | [] | 0 | 3 | normal | |
infinite-dataset-hub/ExtractiveInsight | none | 0.9757 | code | 0.008 | null | [
"infinite-dataset-hub"
] | # ExtractiveInsight
tags: information_extraction, narrative_structure, contextualization
_Note: This is an AI-generated dataset so its content may be inaccurate or false_
**Dataset Description:**
The 'ExtractiveInsight' dataset is a curated collection of paragraphs from various documents, each annotated with labels... | 2,847 | 3 | normal |
agicorp/MathInstruct | math | 0.9928 | chemistry | 0.0029 | math | [
"math"
] | # 🦣 MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
MathInstruct is a meticulously curated instruction tuning dataset that is lightweight yet generalizable. MathInstruct is compiled from 13 math rationale datasets, six of which are newly curated by this work. It uniquely focuses on the hybr... | 2,555 | 24 | normal |
Aoxi29/so100_cookies | none | 0.925 | code | 0.0718 | 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"... | 3,726 | 8 | normal |
Jodoh/Halangan | none | 0.287 | climate | 0.1318 | null | [] | 0 | 4 | normal | |
mlfoundations-dev/a1_code_code_golf | code | 0.6989 | none | 0.1709 | null | [] | 0 | 5 | normal | |
supergoose/flan_source_adversarial_qa_dbert_answer_the_following_q_185 | none | 0.7936 | code | 0.11 | null | [] | 0 | 4 | normal | |
connections-dev/CREATE_claude-haiku-4-5-20251001_mar20c_20260323_test | none | 0.6658 | code | 0.2067 | null | [] | 0 | 11 | normal | |
FrancophonIA/17-minute-world-languages_bielorusse | none | 0.9482 | code | 0.0203 | null | [] | > [!NOTE]
> Dataset origin: https://www.17-minute-world-languages.com/fr/biélorusse/
Site à scrapper | 101 | 29 | normal |
lovelyhyojin/audio3 | none | 0.5244 | code | 0.1078 | null | [] | 0 | 3 | normal | |
nimapourjafar/bagel_mm | finance | 0.3695 | none | 0.3349 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## D... | 4,360 | 4 | boundary |
Alpaca69B/reviews_appstore_teladoc_absa | none | 0.532 | finance | 0.086 | null | [] | 0 | 4 | normal | |
mlfoundations-dev/bespokelabs-sky-t1-taco-train-rejection-sampled-shreyas | none | 0.6873 | chemistry | 0.096 | null | [] | 0 | 4 | normal | |
Jinyu220/av_aloha_pour-test-tube-v1 | none | 0.8924 | code | 0.1029 | 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",
"... | 6,635 | 5 | normal |
lucifertrj/news | none | 0.4112 | climate | 0.1101 | null | [] | 0 | 16 | normal | |
saurabh5/rlvr_acecoder | none | 0.4419 | chemistry | 0.1686 | null | [] | 0 | 6 | normal | |
allenai/scitail | none | 0.9749 | legal | 0.0193 | null | [] | # Dataset Card for "scitail"
## 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)
... | 7,242 | 2,237 | normal |
mlfoundations-dev/multisubject_rlvr | none | 0.3733 | chemistry | 0.2329 | null | [] | 0 | 3 | normal | |
u94fmn391j/SAVANT-CODALM-small | none | 0.9747 | code | 0.0094 | null | [
"anomaly-detection",
"autonomous-driving",
"vision-language-model",
"driving-scenes"
] | # SAVANT CODALM Small Dataset
This dataset is part of the SAVANT framework described in the SAVANT paper, currently under peer review.
**This repository is provided for peer-review purposes only.** After the review process, the dataset will be made publicly available through the authors' main account.
## Dataset Des... | 1,250 | 17 | normal |
reasoning-degeneration-dev/t1-wingdings-musr-murder-together_ai-qwen-qwen3-next-80b-a3b-inst-079fe525 | none | 0.8344 | code | 0.1044 | null | [
"wingdings_compliance",
"musr",
"murder_mysteries"
] | # t1-wingdings-musr-murder-together_ai-qwen-qwen3-next-80b-a3b-inst-079fe525
Wingdings compliance eval on MuSR murder mysteries (instruct model)
## Dataset Info
- **Rows**: 10
- **Columns**: 15
## Columns
| Column | Type | Description |
|--------|------|-------------|
| narrative | Value('string') | *No descriptio... | 3,822 | 16 | normal |
TheFactoryX/edition_2510_ryanmarten-OpenThoughts-1k-sample-readymade | none | 0.9838 | code | 0.0145 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2510_ryanmarten-OpenThoughts-1k-sample-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[ryanmarten/OpenThoughts-1k-sample](https://huggingface.co/datasets/ryanmarten/OpenThoughts-1k-sample)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objec... | 981 | 13 | normal |
kykim0/dpo-mix-7k-30p | none | 0.8698 | code | 0.0881 | null | [] | # Dataset Card for "dpo-mix-7k-30p"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 168 | 3 | normal |
french-open-data/evolution-de-la-population-totale-des-16-communes-de-grand-paris-sud-est-avenir-chiffres-2009-20 | none | 0.9067 | biology | 0.0514 | null | [
"demographie",
"population",
"recensement",
"dataset_for_agent"
] | # Évolution de la population totale des 16 communes de Grand Paris Sud Est Avenir : chiffres 2009, 2014 et 2020
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Évolution de la population totale des 16 communes de Grand Paris Sud Est Avenir : chiffres 200... | 1,070 | 8 | normal |
danaaubakirova/so100_task_3 | none | 0.9171 | code | 0.0791 | 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": "v2.1",
"... | 3,581 | 41 | normal |
pteromyini0/24_2_Gjoni | biology | 0.422 | none | 0.2277 | null | [] | 0 | 3 | normal | |
marcomaccarini/ds_robot_40_small | none | 0.6885 | code | 0.0981 | null | [] | 0 | 3 | normal | |
graliuce/MedMCQA.15.04 | biology | 0.5424 | chemistry | 0.2247 | null | [] | 0 | 4 | normal | |
UphamProjects/sloppy_nfip_handbook | none | 0.5252 | code | 0.1123 | null | [] | 0 | 2 | normal | |
TheFactoryX/edition_0338_lavita-medical-qa-shared-task-v1-toy-readymade | medical | 0.6313 | none | 0.3501 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0338_lavita-medical-qa-shared-task-v1-toy-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[lavita/medical-qa-shared-task-v1-toy](https://huggingface.co/datasets/lavita/medical-qa-shared-task-v1-toy)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking every... | 990 | 5 | normal |
felipehsilveira/sam3-test | none | 0.9449 | code | 0.0336 | null | [
"object-detection",
"sam3",
"segment-anything",
"bounding-boxes",
"uv-script",
"generated"
] | # Object Detection: Person Detection using sam3
This dataset contains object detection results (bounding boxes) for **person** detected in images from [huggan/few-shot-art-painting](https://huggingface.co/datasets/huggan/few-shot-art-painting) using Meta's SAM3 (Segment Anything Model 3).
**Generated using**: [uv-scr... | 4,833 | 8 | normal |
Synthyra/PLINDER-selfies | none | 0.4281 | code | 0.1124 | null | [] | 0 | 21 | normal | |
ankile/nutsquare-paired-auto-v4-r21 | none | 0.9608 | code | 0.0229 | 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",
"... | 5,871 | 13 | normal |
jmw125/bimanual-teleop-sim-dissassemble-init50 | none | 0.967 | code | 0.0234 | 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",
"... | 5,376 | 8 | normal |
EdwardSJ151/enem-lighteval-fewshot | none | 0.6187 | code | 0.1212 | null | [] | 0 | 4 | normal | |
Ramu143/guanaco-llama2-2k | biology | 0.3631 | none | 0.3422 | null | [] | 0 | 4 | boundary | |
tmpmodelsave/type134_step300_bz64tmp10 | none | 0.4264 | code | 0.2893 | null | [] | 0 | 4 | normal | |
knoveleng/sing | none | 0.4156 | chemistry | 0.1154 | null | [] | 0 | 103 | normal | |
electricsheepafrica/nigeria-education-department-structure | none | 0.9426 | finance | 0.0419 | null | [
"nigeria",
"education",
"africa",
"department-structure"
] | # Nigeria - Department Structure
## Dataset Description
School department organization including staff counts and budgets.
## Dataset Information
- **Country**: Nigeria
- **Dataset Name**: department_structure
- **Total Records**: 100,000
- **Total Columns**: 6
- **File Size**: 1.85 MB
- **Format**: Parquet (full d... | 2,568 | 15 | normal |
ssmmzz/helsteer_correctness | none | 0.7098 | code | 0.0946 | null | [] | 0 | 3 | normal | |
Franky123/lora_dataset_38a2d427 | none | 0.4221 | biology | 0.1734 | null | [] | 0 | 3 | normal | |
keerthanapacific/sample2 | chemistry | 0.7307 | none | 0.0961 | null | [] | 0 | 4 | normal | |
matallanas/my-image-dataset | none | 0.4446 | climate | 0.2096 | null | [] | 0 | 22 | normal | |
DCAgent2/DCAgent_dev_set_71_tasks_Qwen_Qwen3-4B-Thinking-2507_20251117_192211 | none | 0.845 | code | 0.0972 | null | [] | 0 | 10 | normal | |
bmertek/yetenekmercegiLoo | none | 0.4263 | code | 0.3554 | null | [] | # Talentlens
This dataset is prepared for resume - job, RAG + GPT-OSS-20B fine-tuning. | 87 | 5 | normal |
vohuutridung/phogpt-v3 | none | 0.4447 | biology | 0.1069 | null | [] | 0 | 5 | normal | |
WARAJA/Tzefa-Line-Segmentation-Dataset | none | 0.6458 | biology | 0.1983 | null | [
"vision",
"yolo",
"ultralytics",
"document-processing",
"line-segmentation",
"obb"
] | # Tzefa Line Segmentation Dataset
Training dataset for the Tzefa YOLO11x-OBB line segmentation model.
## Structure (YOLO OBB format)
```
data.yaml
train/
images/ # Training images (.png + optional .npy)
labels/ # OBB annotations (.txt)
val/
images/ # Validation images
labels/ # Val... | 1,416 | 10 | normal |
french-open-data/certification-des-etablissements-de-sante-pour-la-qualite-des-soins-referentiel-2014-2020 | cybersecurity | 0.7845 | medical | 0.1137 | null | [
"certification",
"etablissement-de-sante",
"has",
"haute-autorite-de-sante",
"qualite",
"qualite-des-soins",
"v2014",
"dataset_for_agent"
] | # Certification des établissements de santé pour la qualité des soins (référentiel 2014-2020)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Certification des établissements de santé pour la qualité des soins (référentiel 2014-2020) ** qui est disponib... | 1,871 | 8 | normal |
hiennguyen9874/traffic-accident-detection | finance | 0.3155 | none | 0.2959 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## D... | 4,360 | 11 | boundary |
NoahShen/math-llama3.1-8b-inst-safe-rlhf-0628-completions | none | 0.8957 | code | 0.0648 | null | [] | 0 | 3 | normal | |
Lyrasilas/eval_ep500_seed1_default_car_guessed_30000_SFT_circle_small | none | 0.9405 | code | 0.0553 | 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",
"... | 2,709 | 54 | normal |
test-gen/livecodebench_o4-mini_t0_n1_generated_tests | code | 0.7091 | none | 0.2232 | null | [] | 0 | 5 | normal | |
test-gen/code_humaneval_qwen2.5-3b_t0.1_n8_tests_humaneval_qwen3-4b-easy_lr1e-5_t0.0_n1 | code | 0.5503 | none | 0.4425 | null | [] | 0 | 5 | boundary | |
n1h111sm/unc_dist_uniform_250k | none | 0.6654 | climate | 0.1577 | null | [] | 0 | 12 | normal | |
jbloom-aisi/mmlu-all-with-topics-labelled-by-gpt-4-1000-samples | none | 0.7085 | code | 0.1473 | null | [] | 0 | 6 | normal | |
albertvillanova/tmp-struct-batch | none | 0.5075 | code | 0.1883 | null | [] | 0 | 7 | normal | |
unprg-ia/gorel-tupa-text | none | 0.7076 | chemistry | 0.0546 | null | [] | 0 | 4 | normal | |
Huseyin/turkish-high-quality-dataset | none | 0.7886 | code | 0.0372 | null | [] | 0 | 8 | normal | |
yzf1102/KnowMol-100K | chemistry | 0.9965 | none | 0.0013 | chemistry | [
"chemistry"
] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
KnowMol-100K is the first comprehensive dataset with 100K multi-level molecule descriptions.
We design an elaborate pipeline with high-quality databases and tools, including
PubChem databases, an open-source toolkit for cheminformatics, ... | 3,038 | 38 | normal |
chamber111/VPPO_ViRL39K_train | math | 0.4922 | none | 0.3773 | math | [
"multimodal",
"visual-reasoning",
"mathematics",
"reinforcement-learning",
"vppo"
] | # Dataset Card for VPPO_ViRL39K_train
## Dataset Details
### Dataset Description
This dataset is the official training split used to fine-tune the **VPPO-7B** and **VPPO-32B** models presented in our paper, "[Spotlight on Token Perception for Multimodal Reinforcement Learning](https://huggingface.co/papers/2510.0928... | 1,481 | 933 | boundary |
pathofseb/record-test | none | 0.9084 | 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"... | 3,719 | 26 | normal |
dnth/asl-sign-language-vl-enriched | none | 0.7731 | code | 0.0512 | null | [] | 0 | 5 | normal | |
GreenNode/askubuntudupquestions-reranking-vn | none | 0.9878 | code | 0.0089 | null | [
"mteb",
"text-ranking",
"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(["AskUbuntuDupQuestions-VN"])
evaluator = mteb.MTEB(task)
model = mteb.get_model(YOUR_MODEL)
evaluator.run(model)
```
<!-- Datasets want link to arxiv in readme t... | 3,343 | 14 | normal |
BangumiBase/konosekaiwafukanzensugiru | none | 0.9421 | code | 0.0452 | null | [
"art"
] | # Bangumi Image Base of Kono Sekai Wa Fukanzen Sugiru
This is the image base of bangumi Kono Sekai wa Fukanzen Sugiru, we detected 72 characters, 6149 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 actual.** If you in... | 23,783 | 1,106 | normal |
VQA-Illusion/IllusionChar_test | none | 0.429 | code | 0.2378 | null | [] | 0 | 7 | normal | |
mchen02/ultron_test_v63 | none | 0.9565 | code | 0.0361 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 5,678 | 4 | normal |
open-llm-leaderboard-old/details_moreh__MoMo-72B-LoRA-V1.4 | none | 0.9192 | biology | 0.0497 | null | [] | # Dataset Card for Evaluation run of moreh/MoMo-72B-LoRA-V1.4
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [moreh/MoMo-72B-LoRA-V1.4](https://huggingface.co/moreh/MoMo-72B-LoRA-V1.4) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Huggin... | 19,258 | 22 | normal |
ben-campbell/sprout_push_coin_03_22 | none | 0.8978 | code | 0.0963 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=ben-campbell/sprout_push_coin">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-datase... | 3,790 | 83 | normal |
giovannidemuri/sharegpt-50k_llama8b-v125-jb-seed14-alpaca_512_ngt0.7_tp0.9 | none | 0.7002 | code | 0.1774 | null | [] | 0 | 6 | normal |
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