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 |
|---|---|---|---|---|---|---|---|---|---|---|
mkielo/common-voice-subset-gemaps | none | 0.6271 | finance | 0.0819 | null | [] | 0 | 25 | normal | |
AlioLeuchtmann/LongBench-v2-with-len-in-token | none | 0.778 | math | 0.1679 | null | [] | Including Length in Tokens:
```json
{
"Qwen/Qwen3-0.6B": 283999
}
```
Currently only for Qwen3 Models
# Citation
```
@article{bai2024longbench2,
title={LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks},
author={Yushi Bai and Shangqing Tu and Jiajie Zhang and Hao P... | 504 | 13 | normal |
medialog/msghub | none | 0.3927 | code | 0.137 | null | [] | 0 | 8 | normal | |
Ramitha/sl-basic-results-40-falcon | none | 0.8006 | chemistry | 0.0468 | null | [] | 0 | 4 | normal | |
reasoning-proj/exp_rob_dfiltered_DeepSeek-R1-Distill-Qwen-32B_2_mbenign_complete_step_t10 | none | 0.4575 | math | 0.3054 | null | [] | 0 | 5 | normal | |
0x7o/poemma-10k-argilla-5596 | none | 0.8354 | biology | 0.0448 | null | [] | 0 | 5 | normal | |
ksj0202/pull-blackbox | none | 0.9235 | code | 0.0716 | 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",
"... | 2,946 | 50 | normal |
marcov/species_800_promptsource | biology | 0.6959 | none | 0.1264 | null | [] | 0 | 4 | normal | |
sarvamai/boolq-indic | none | 0.9692 | code | 0.019 | null | [] | # Indic BoolQ Dataset
A multilingual version of the [BoolQ](https://huggingface.co/datasets/google/boolq) (Boolean Questions) dataset, translated from English into 10 Indian languages.
It is a question-answering dataset for yes/no questions containing ~12k naturally occurring questions.
### Languages Covered
The data... | 1,202 | 172 | normal |
soliscute/lego_grasp_eval_20260224 | none | 0.9131 | code | 0.0771 | 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 | 17 | normal |
Swetha92/synthetic-data-skill-twin-classification-v1 | none | 0.8778 | code | 0.0326 | null | [] | 0 | 4 | normal | |
AHegai/gray-foam | none | 0.9261 | code | 0.0677 | 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",
"... | 3,581 | 9 | normal |
mzio/aprm-sft_genthinkact-ENtw_cooking_game-GEaprm_qwen3_ap-SE42-REfsc4-ap1-b084 | none | 0.7087 | code | 0.1806 | null | [] | 0 | 10 | normal | |
lighteval/RULER-4096-llama3.1-8b-chat | none | 0.7524 | code | 0.0741 | null | [] | 0 | 4 | normal | |
electricsheepafrica/nigerian_agriculture_farm_labor | climate | 0.6305 | biology | 0.2553 | null | [
"nigeria",
"agriculture",
"food-systems",
"farm-management-and-mechanization"
] | # Nigeria Agriculture – Farm Labor
## Dataset Description
Synthetic Farm Management & Mechanization data for Nigeria agriculture sector.
**Category**: Farm Management & Mechanization
**Rows**: 120,000
**Format**: CSV, Parquet
**License**: MIT
**Synthetic**: Yes (generated using reference data from FAO, NBS, ... | 3,894 | 26 | normal |
villekuosmanen/pick_coffee_capsule_merged | none | 0.8065 | code | 0.1889 | 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",
"... | 3,784 | 991 | normal |
JoelMba/Donnees_internes_Divers_1 | none | 0.7128 | finance | 0.1578 | null | [] | # Dataset Card for "Donnees_internes_Divers_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 179 | 4 | normal |
DCAgent2/dcagent-dev-set-71-tasks-qwen-qwen3-coder-30b-a3b-instruct-20251112-025255 | none | 0.5708 | code | 0.419 | null | [] | 0 | 8 | normal | |
cfpark00/toy-multistep-nn_5-na_10-nab_10-seed_0 | none | 0.8 | code | 0.0582 | null | [] | 0 | 4 | normal | |
WenhaoWang/VidProM | none | 0.8419 | cybersecurity | 0.1119 | null | [
"prompts",
"text-to-video",
"text-to-image",
"Pika",
"VideoCraft2",
"Text2Video-Zero",
"ModelScope",
"Video Generative Model Evaluation",
"Text-to-Video Diffusion Model Development",
"Text-to-Video Prompt Engineering",
"Efficient Video Generation",
"Fake Video Detection",
"Video Copy Detecti... | <p align="center">
<img src="https://huggingface.co/datasets/WenhaoWang/VidProM/resolve/main/teasor.png" width="800">
</p>
# Summary
This is the dataset proposed in our paper [**VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models**](https://arxiv.org/abs/2403.06098) (NeurIPS 2024... | 7,490 | 5,926 | normal |
pavan-naik/kan_to_eng_claude_v2 | none | 0.9723 | code | 0.0071 | null | [] | # Translation Dataset - Kannada to English
This dataset contains Kannada-to-English translation pairs generated using the Claude V2 model. It is designed to facilitate Kannada-to-English translation model development and evaluation across various contexts.
## Dataset Source:
- **Kannada Text**: Sampled from the [AI4B... | 3,308 | 9 | normal |
OpenCoder-LLM/opc-fineweb-code-corpus | code | 0.9442 | none | 0.0538 | null | [] | 
# OpenCoder Dataset
The OpenCoder dataset is composed of the following datasets:
* [opc-sft-stage1](https://huggingface.co/datasets/OpenCoder-LLM/opc-sft-stage1): the sft data used for opencoder sft-stage1
* [opc-sft-stage2](htt... | 2,266 | 2,109 | new_discovery |
TheSkullery/Aether-V1.9 | none | 0.8836 | code | 0.1033 | null | [] | <!DOCTYPE html>
<style>
body {
font-family: 'Quicksand', sans-serif;
background: linear-gradient(135deg, #2E3440 0%, #1A202C 100%);
color: #D8DEE9;
margin: 0;
padding: 0;
font-size: 16px;
}
.container {
width: 80%;
max-width: 800px;
margin: 20px auto;
background-color: rgba(... | 6,214 | 10 | normal |
turibaru/29deshilarious | none | 0.3723 | biology | 0.1683 | null | [] | 0 | 5 | normal | |
claserken/hhrlhf-rejudged | none | 0.3479 | chemistry | 0.1257 | null | [] | 0 | 5 | normal | |
svjack/Genshin_Impact_Mavuika_1024x1024 | none | 0.726 | code | 0.0976 | null | [] | 0 | 4 | normal | |
FiscaAI/PHYSIO_KVG_01.00-F | chemistry | 0.3649 | climate | 0.2374 | null | [] | 0 | 4 | boundary | |
Sam1995/ikea_dataset_2.0 | none | 0.4705 | climate | 0.1517 | null | [] | 0 | 4 | normal | |
i4ds/ortschaften_per_dialect | none | 0.5844 | chemistry | 0.1042 | null | [] | 0 | 14 | normal | |
Yusser/m_low_res_sae_wiki_tokenizer_llama3.1-8B | none | 0.5682 | chemistry | 0.2091 | null | [] | 0 | 27 | normal | |
AILaborant/crazy_tg_mini | none | 0.5283 | code | 0.1012 | null | [
"Telegram",
"Russian"
] | 0 | 7 | normal | |
Marcus2112/minipile_loss-sampled | none | 0.9227 | code | 0.0559 | null | [] | Produced with the [MiniCorpus](https://github.com/MK2112/minicorpus) pipeline, a reproduction and investigation of the [MiniPile](https://huggingface.co/datasets/JeanKaddour/minipile) data-distillation method [(Kaddour, 2023)](https://arxiv.org/abs/2304.08442).<br>
This dataset is derived from and based on the contents... | 414 | 7 | normal |
ZixuanKe/posttrain_tokenized_various_supervised_sup_qwen2.5_32b_instr | none | 0.7217 | code | 0.125 | null | [] | 0 | 3 | normal | |
mlnomad/imnet1k_otterhound_otter_hound | none | 0.4352 | biology | 0.2175 | null | [] | 0 | 4 | normal | |
Rajpreet2206/nl2sql-dataset | none | 0.4843 | climate | 0.1127 | null | [] | 0 | 3 | normal | |
DBD-research-group/beans_watkins | none | 0.4954 | biology | 0.4498 | null | [] | # Dataset Card for "beans_watkins"
## Dataset Description
**Paper:**
https://doi.org/10.1121/2.0000358
## Dataset Summary
This dataset contains annotated recordings of marine mammal sounds with splits and preprocessing like described in BEANS. It is used for **classification** tasks.
## Data Splits
| ... | 419 | 20 | normal |
r1v3r/hyper_validated | none | 0.4452 | chemistry | 0.3403 | null | [] | 0 | 4 | normal | |
etrotta/kanji_embeddings | none | 0.8425 | code | 0.0961 | null | [] | This repository contains the embeddings used by https://huggingface.co/spaces/etrotta/kanji_lookup
The embeddings were generated by:
1) Generating synthetic Kanji images using multiple different fonts then
2) Encoding these images into using a Neural Network
For one example use case, you can use them to search for em... | 942 | 42 | normal |
WhiteGiverPlus/lean-github-big | none | 0.6601 | code | 0.1283 | null | [] | 0 | 19 | normal | |
claudios/google-research-datasets__mbpp | none | 0.7346 | climate | 0.0971 | null | [] | 0 | 204 | normal | |
mlnomad/imnet1k_butternut_squash | none | 0.522 | climate | 0.098 | null | [] | 0 | 4 | normal | |
reasoning-proj/c_dfiltered_DeepSeek-R1-Distill-Llama-8B_mneutral_insert_random_characters_t50 | none | 0.8947 | code | 0.0675 | null | [] | 0 | 4 | normal | |
marcosremar2/orpheus-tts-pt-br-v3 | none | 0.7992 | code | 0.0441 | null | [] | 0 | 8 | normal | |
Tangc03/anyedit_top2000_thinking | none | 0.7204 | math | 0.0958 | null | [
"image-editing",
"visual-reasoning",
"thinking-process"
] | # AnyEdit Top2000 Thinking Dataset
## 数据集描述
这是一个包含图像编辑任务和思考过程的数据集，包含2000个样本。每个样本包含：
- **input_image**: 输入图像
- **output_image**: 编辑后的输出图像
- **edit_instruction**: 编辑指令
- **thinking_process**: AI模型的思考过程
- **edit_type**: 编辑类型
- **prompt_template**: 使用的提示模板
- **original_data**: 原始数据信息
- **batch_number**: 批次号
- **sample... | 1,247 | 42 | normal |
mlnomad/imnet1k_cup | none | 0.5649 | climate | 0.0945 | null | [] | 0 | 9 | normal | |
Asap7772/omnimath-hint-v6-r1distill15b-respgen__513_683 | none | 0.7229 | math | 0.1217 | null | [] | 0 | 6 | normal | |
JakeOh/rft-finetune-llama-3.2-1b-math-k10 | none | 0.6585 | math | 0.1903 | null | [] | 0 | 6 | normal | |
Joshfcooper/formai-v2-full | cybersecurity | 0.9089 | code | 0.0573 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
Lanuage model generated c code with security vulnerabilities
From
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** https://github.com/FormAI-Dataset/FormAI-dataset/?tab=readme-ov-file
... | 1,479 | 126 | new_discovery |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_c7d16077-f3f2-4629-8fb2-1c1d0686b4c6 | none | 0.617 | code | 0.1785 | null | [] | 0 | 2 | normal | |
sjleslie/MGEN_StrippedQs_B_split_slimpj_context_len_1__bs005 | none | 0.5402 | code | 0.2974 | null | [] | 0 | 14 | normal | |
GaspardNW/Animaux_RAW_AUDIO | none | 0.2892 | climate | 0.1906 | null | [] | 0 | 4 | normal | |
blanchon/play_orange12 | none | 0.9222 | code | 0.0746 | null | [
"so101",
"paino"
] | 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",
"... | 2,948 | 182 | normal |
beom115/test2 | none | 0.3474 | chemistry | 0.2255 | null | [] | 0 | 8 | normal | |
pdf2dataset/6ef730aae26deae2987b7fda280c0276 | none | 0.5801 | biology | 0.1313 | null | [] | 0 | 3 | normal | |
Codec-SUPERB/fsd50k_unit | code | 0.4268 | none | 0.3011 | null | [] | 0 | 9 | boundary | |
mlabonne/open-perfectblend | none | 0.5262 | math | 0.3028 | null | [] | 
# 🎨 Open-PerfectBlend
Open-PerfectBlend is an open-source reproduction of the instruction dataset introduced in the paper ["The Perfect Blend: Redefining RLHF with Mixture of Judges"](https://arxiv.... | 2,353 | 1,210 | normal |
lianghsun/tw-law-ctx-bench | legal | 0.8056 | none | 0.1163 | null | [] | 0 | 5 | new_discovery | |
sjleslie/random_Leslie_types_long_73 | biology | 0.791 | climate | 0.0805 | null | [] | 0 | 5 | normal | |
Adu2021/ModelCompose | none | 0.4074 | code | 0.2885 | null | [] | # Model Composition for Multimodal Large Language Models
This repo contains training and evaluation datasets used in our project. View our [github page](https://github.com/THUNLP-MT/ModelCompose) for more information!
Note: you can place `train` and `test` folder under `./data` folder of the project. | 303 | 28 | normal |
microsoft/TestExplora | code | 0.9964 | none | 0.0024 | null | [] | # TestExplora
TestExplora is a systematic, repository-level benchmark designed to evaluate the capability of Large Language Models to proactively discover latent software defects by generating tests. It was developed to evaluate the proactive defect discovery capabilities of LLMs at the repository level.
## Dataset... | 2,604 | 460 | new_discovery |
Northfork/labeled-food-ingredients | none | 0.6554 | biology | 0.1326 | null | [] | 0 | 10 | normal | |
moxin-li/customed_simplerl_hard | none | 0.4045 | code | 0.173 | null | [] | 0 | 5 | normal | |
Grievous-Robot/table-sweep-granular-pickduster-20260222_164917 | none | 0.9253 | code | 0.0711 | 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",
"... | 4,777 | 27 | normal |
pushkalkatara/ur5e | none | 0.9027 | code | 0.0916 | null | [
"sf",
"ur5e"
] | 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",
"... | 2,656 | 12 | normal |
mlfoundations-dev/stackexchange_codereview | none | 0.4536 | code | 0.288 | null | [] | 0 | 12 | normal | |
Etherll/code-FIM-test4 | code | 0.6728 | none | 0.0952 | null | [] | 0 | 16 | normal | |
reasoning-proj/exp_rob_dfiltered_DeepSeek-R1-Distill-Qwen-32B_2_madversarial_continue_unrelated_t70 | none | 0.7766 | code | 0.0976 | null | [] | 0 | 2 | normal | |
yuri1996/round_11_v2.1.0 | legal | 0.5434 | none | 0.3283 | null | [] | # Benchmark Results: v2.1.0
## Overview
- **Round:** 11
- **Test Name:** v2.1.0
- **Timestamp:** 2026-01-07 08:16:53
## Summary
| Metric | Value |
|--------|-------|
| Total Tasks | 128 |
| Total Judged | 124 |
| Skipped | 0 |
| Gen Failed | 0 |
| Render Failed | 0 |
| Judge Failed | 4 |
## Results
| Result | Coun... | 1,000 | 3 | normal |
camgeodesic/anthropic-propensity-evals-human-written-refined-SFM-evals | none | 0.9068 | code | 0.0518 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset contains the same misalignment questions as **camgeodesic/anthropic-propensity-evals-human-written-refined-filtered-strong** for the following subsets:
Coordinate_Itself, Coordinate_Other_Ais, Coordinate_Other_Versions, Pow... | 4,872 | 28 | normal |
french-open-data/asus-notebook-k6502vv | cybersecurity | 0.7559 | none | 0.1682 | null | [
"dataset_for_agent"
] | # ASUS Notebook K6502VV
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **ASUS Notebook K6502VV** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/685bad56e13269c08a5e3e39
## Description
This dataset provides the repairability index score... | 1,355 | 6 | normal |
DCAgent2/dcagent2-swebench-verified-random-100-folders-dcagent-taskmaster2-banana-20251-95527328 | none | 0.7021 | code | 0.2512 | null | [] | 0 | 7 | normal | |
freococo/media_queen_entertaiment_voices | none | 0.9869 | code | 0.0047 | null | [
"audio",
"speech-recognition",
"asr",
"myanmar",
"burmese",
"low-resource",
"fair-use",
"tiktok",
"webdataset"
] | # Media Queen Entertainment Voices
> Where the stars speak, and their stories come to life.
**Media Queen Entertainment Voices** is a massive, large-scale collection of **190,013 short audio segments** (totaling approximately **125 hours** of speech) derived from public videos by **Media Queen Entertainment** — a pro... | 7,488 | 61 | normal |
chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754640445_eval_759d_aime24_skip_ffn_idx_16 | none | 0.9828 | code | 0.0106 | null | [] | # chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754640445_eval_759d_aime24_skip_ffn_idx_16
Precomputed model outputs for evaluation.
## Evaluation Results
### AIME24
- **Average Accuracy**: 10.67% ± 1.62%
- **Number of Runs**: 10
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------... | 575 | 5 | normal |
neha-duggirala/datascience-interview-qna | none | 0.7555 | code | 0.088 | null | [] | # DataScience-Interview-Preparation-Bot Dataset
This dataset contains questions and answers related to data science interview preparation. It is designed to help individuals prepare for data science interviews by providing a variety of questions and detailed answers.
## Dataset Structure
The dataset is provided in C... | 1,768 | 5 | normal |
tmpmodelsave/llama3_it_math_type1_only_beta05_500tmp10 | none | 0.4287 | math | 0.2216 | null | [] | 0 | 4 | normal | |
TheFactoryX/edition_1042_deepmind-code_contests-readymade | code | 0.9518 | none | 0.04 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1042_deepmind-code_contests-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[deepmind/code_contests](https://huggingface.co/datasets/deepmind/code_contests)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as ... | 948 | 9 | new_discovery |
zjhhhh/Qwen7b_38000 | none | 0.4029 | code | 0.1258 | null | [] | 0 | 4 | normal | |
nalyda/eval_picking04 | none | 0.9262 | code | 0.0684 | 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",
"... | 3,576 | 5 | normal |
tmpmodelsave/type134_step300tmp07 | none | 0.3796 | code | 0.1889 | null | [] | 0 | 4 | normal | |
ehasler/arc_challenge-k5-folds | none | 0.7089 | code | 0.0854 | null | [] | 0 | 11 | normal | |
wyh6666/CoCoEdit-40K | none | 0.6754 | code | 0.1896 | null | [] | Due to the internet speed limitation, we upload the zips after splitting them into chunks. Please concatenate the files before unzip. | 133 | 239 | normal |
gjyotin305/Qwen2.5-7B-Instruct_gsm8k_fix_new_check_gsm8k_eval | code | 0.5489 | none | 0.2998 | null | [] | 0 | 7 | normal | |
yifehuang97/CoCount-train-2-100k-HOU-pseudo-label | none | 0.4967 | biology | 0.1956 | null | [] | 0 | 11 | normal | |
1g0rrr/grab_orange2b | none | 0.6075 | biology | 0.1914 | null | [
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). | 81 | 5 | normal |
aelhalili/bash-commands-dataset | code | 0.9637 | cybersecurity | 0.0171 | null | [
"bash"
] | # 🐧 Linux Command Automation Dataset
A dataset of **natural language prompts** paired with their corresponding **Bash command-line equivalents**, designed to train or fine-tune models for **automating Linux tasks via natural language**.
---
## 📁 Dataset Structure
The dataset is in JSON format, structured as a fla... | 1,445 | 185 | new_discovery |
french-open-data/etat-de-la-flotte-automobile | none | 0.8963 | cybersecurity | 0.0779 | null | [
"etat-de-la-flotte-automobile",
"dataset_for_agent"
] | # Etat de la flotte automobile
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Etat de la flotte automobile** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/68ecb4b106d3c140702a7b93
## Description
Etat de la flotte automobile
## Lic... | 347 | 11 | normal |
mothnaZl/Llama-3.2-3B-best_of_n-VLLM-Skywork-o1-Open-PRM-Qwen-2.5-7B-completions | none | 0.822 | code | 0.1317 | null | [] | 0 | 6 | normal | |
hiroshij/complementary-tasks-3.jsonl | none | 0.374 | code | 0.2719 | null | [] | 0 | 11 | normal | |
withcomment/openbiomedvid_qa | none | 0.4678 | biology | 0.252 | null | [] | 0 | 6 | normal | |
infinite-dataset-hub/AntennaPatch5G | none | 0.6193 | chemistry | 0.2304 | null | [
"infinite-dataset-hub"
] | # AntennaPatch5G
tags: Microstrip, 5G, Design, Gain
_Note: This is an AI-generated dataset so its content may be inaccurate or false_
**Dataset Description:**
The 'AntennaPatch5G' dataset is curated for machine learning practitioners interested in optimizing the design of microstrip patch antennas for 5G applicatio... | 2,532 | 4 | normal |
grboguz/sentinel_strawberries_v5 | none | 0.9248 | code | 0.0653 | 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",
"... | 3,340 | 0 | normal |
dddraxxx/chartqa_orig_2500 | none | 0.4064 | climate | 0.1529 | null | [] | 0 | 7 | normal | |
TutlaytAI/Hausa_Ajami_OCR | none | 0.5153 | legal | 0.1413 | null | [] | 0 | 6 | normal | |
mteb/InappropriatenessClassification | none | 0.9403 | code | 0.0465 | null | [
"mteb",
"text"
] | <!-- 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... | 7,489 | 5 | normal |
griffinnosidda/t9 | none | 0.9091 | code | 0.0866 | 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",
"... | 3,978 | 15 | normal |
mlfoundations-dev/hero_run_3_math_s24 | none | 0.4613 | chemistry | 0.2451 | null | [] | 0 | 5 | normal | |
masato-ka/so100_conditional_grasping | none | 0.9161 | code | 0.0773 | 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",
"... | 2,975 | 20 | normal |
sarahwei/Taiwanese-Minnan-Example-Sentences | none | 0.9874 | code | 0.003 | null | [] | # Taiwanese Minnan Example Sentences
The dataset consists of a collection of example sentences designed to aid in recognizing Taiwanese Minnan (Taiwanese Hokkien) for automatic speech recognition (ASR) tasks. This dataset is sourced from the Ministry of Education in Taiwan and aims to provide valuable linguistic resour... | 2,211 | 466 | normal |
noirpinot/my-dual-arm-dataset-0822 | none | 0.8369 | code | 0.1189 | null | [] | python -m lerobot.scripts.visualize_dataset \
--dataset-dir ~/arm_data_0822/aloha_huggingface_dataset \
--episode-index 0 | 129 | 5 | normal |
open-llm-leaderboard-old/details_yam-peleg__Experiment10-7B | none | 0.9707 | code | 0.0212 | null | [] | # Dataset Card for Evaluation run of yam-peleg/Experiment10-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [yam-peleg/Experiment10-7B](https://huggingface.co/yam-peleg/Experiment10-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hug... | 19,263 | 6 | normal |
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