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 |
|---|---|---|---|---|---|---|---|---|---|---|
sjleslie/random_prevalence_7_bins_long_45 | none | 0.6883 | climate | 0.1154 | null | [] | 0 | 4 | normal | |
htdung167/test-5CD-AI_Viet-Handwriting-flash2_bboxes_matching | none | 0.8257 | code | 0.0819 | null | [] | 0 | 6 | normal | |
kseniasych/codecontests-edits-trajectories_min-edits-9_pylint_randomized-dfs_no-todo-v2 | code | 0.5796 | none | 0.3682 | null | [] | 0 | 6 | normal | |
prithivMLmods/Img2Text-Algorithm-Retrieval | code | 0.8009 | none | 0.189 | null | [
"algorithm",
"data-structures",
"pseudo"
] | # Img2Text-Algorithm-Retrieval Dataset
## Dataset Overview
The **Img2Text-Algorithm-Retrieval** dataset is designed for retrieving text descriptions of algorithms from corresponding images. This dataset consists of structured text, raw text, algorithm images, and metadata such as source URLs and filenames. It can ... | 1,379 | 28 | new_discovery |
AcapeLlama/AcapeLlama_v2.0_EVAL | biology | 0.9057 | none | 0.0449 | null | [] | 0 | 5 | new_discovery | |
chhatramani/legal_instruction_dataset_44laws | legal | 0.915 | none | 0.0514 | null | [] | 0 | 11 | new_discovery | |
jet-ai/longbench | none | 0.4914 | chemistry | 0.1064 | null | [] | 0 | 276 | normal | |
ma-zn/new_rt-rel-f1__driver-position | code | 0.483 | none | 0.3668 | null | [] | 0 | 5 | boundary | |
k0i5hi/eval_so101_fp_grab_the_eraser | none | 0.9349 | code | 0.0591 | 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",
"... | 3,577 | 7 | normal |
TAUR-dev/D-EVAL__standard_eval_v3__qwen25_15b_instruct_bestofn_atags_countdown_4arg_33-eval_0 | none | 0.6251 | code | 0.3281 | null | [] | 0 | 5 | normal | |
huggingmaruko/adapted_crowspair | none | 0.919 | code | 0.0494 | null | [] | **CrowS-Pairs** [paper](https://arxiv.org/pdf/2010.00133) is a crowdsourced dataset that consists of pairs of minimally distant sentences—that is, sentences
that differ only with respect to a small number of tokens. It cover stereotypes dealing with nine types of bias, like race, gender/gender identity, sexual orientat... | 4,098 | 3 | normal |
Youxll/PaperScope | none | 0.7849 | math | 0.1081 | null | [
"agent"
] | # PaperScope Dataset Card
## Dataset Description
**PaperScope** is a multi-modal, multi-document benchmark designed for evaluating agentic deep research capabilities across massive scientific papers. Built upon a knowledge graph of over 2,000 AI papers from top-tier venues (NeurIPS, ICLR, ICML, etc.), this dataset en... | 9,612 | 28 | normal |
assoni2002/jailbreak_audiobench_test_data_03 | none | 0.69 | code | 0.0785 | null | [] | 0 | 4 | normal | |
ddamianos/gpc-all-08-245000 | none | 0.591 | biology | 0.1634 | null | [] | 0 | 5 | normal | |
simonycl/amc_aime_training_positive_sequence_cot_gemini-2.5-flash | none | 0.7575 | code | 0.1097 | null | [] | 0 | 6 | normal | |
mjaliz/query-semantic-lexical-candidates | none | 0.5361 | code | 0.138 | null | [] | 0 | 7 | normal | |
B-K/thai-g2p | none | 0.9714 | chemistry | 0.0089 | null | [
"g2p"
] | # Small Thai G2P Dataset
## Usage:
```python
import datasets
ds = datasets.load_dataset("B-K/thai-g2p", split="train")
for example in ds:
print(example["text"], example["phoneme"])
```
## Files in raw/:
- CC BY-SA-4.0:
- thai_seg_cleaned.tsv
- thai_seg.tsv
- Apache-2.0:
- thai_sentence_phoneme.csv | 318 | 5 | normal |
DopeorNope/test_cpt_fft_3200_0.9 | none | 0.5448 | chemistry | 0.1398 | null | [] | 0 | 5 | normal | |
jihuny/llama_mag_10k_sky_active_mgopt_a20_l1e2 | chemistry | 0.5224 | none | 0.3312 | null | [] | 0 | 10 | normal | |
kyle0612/45certainpossibleP17 | none | 0.4649 | biology | 0.152 | null | [] | 0 | 4 | normal | |
akuzdeuov/issai-kaztts-m2 | none | 0.405 | chemistry | 0.1343 | null | [] | 0 | 24 | normal | |
adrienbrdne/problematic-diversity | none | 0.652 | chemistry | 0.0725 | null | [] | 0 | 4 | normal | |
Lots-of-LoRAs/task1428_country_surface_area | none | 0.7149 | biology | 0.2375 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1428_country_surface_area
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066
- **Point of ... | 2,304 | 82 | normal |
Asap7772/arc-agi-mixed-improvedabs-star-sftinit-lr1e-5-7of8 | none | 0.8914 | chemistry | 0.0297 | null | [] | 0 | 5 | normal | |
meGirishM/lekiwi_variedlocation-test1 | none | 0.954 | code | 0.0417 | 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",
"... | 3,785 | 17 | normal |
gtfintechlab/bank_of_canada | finance | 0.9893 | none | 0.0091 | finance | [
"finance",
"econ"
] | ## Dataset Summary
For dataset summary, please refer to [https://huggingface.co/datasets/gtfintechlab/bank_of_canada](https://huggingface.co/datasets/gtfintechlab/bank_of_canada)
## Additional Information
This dataset is annotated across three different tasks: Stance Detection, Temporal Classification, and Uncertainty... | 2,069 | 34 | normal |
MinaMila/ACSEmployment_2_train_cfda_lm_22 | none | 0.9236 | code | 0.0327 | null | [] | # Dataset Card for "ACSEpmployment_2_train_cfda_lm_22"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 187 | 4 | normal |
reasoning-proj/exp_rob_dfiltered_DeepSeek-R1-Distill-Qwen-14B_mbenign_complete_step_t50 | none | 0.5569 | math | 0.2455 | null | [] | 0 | 6 | normal | |
svjack/Ryanwill679_blender_b3d_water_videos | none | 0.9204 | code | 0.028 | null | [] | 
# Twitter Blender Video Dataset
## Overview
This dataset contains Blender/3D art videos collected from Twitter user **@TrashCG (Ryanwill679🔶)**. The videos showcase various 3D modeling, animatio... | 1,747 | 8 | normal |
DAVIAN-Robotics/droid_v3 | none | 0.6495 | code | 0.3449 | 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",
"... | 9,219 | 531 | normal |
bouncingsim/bouncingsim-GRAVITY-basic | none | 0.6504 | finance | 0.097 | null | [] | 0 | 42 | normal | |
BAAI-DataCube/robomind_benchmark1_0_release_franka_3rgb_place_in_bread_in_plate | none | 0.8745 | code | 0.1129 | null | [] | # benchmark1_0_release_franka_3rgb_place_in_bread_in_plate
This dataset converts the Robomain format uniformly into LeRobot V3.0.
## Dataset Statistics
本体: franka_3rgb
末端执行器: 夹爪
任务平台显示版: 将面包放入盘子
total_episodes: 100
total_tasks: 1
size: 265.3M
## Dataset Structure
```
├── data
│ └── chunk-xxx
│ ├── file-xxx.p... | 953 | 32 | normal |
DataRobot-Research/financebench | finance | 0.2636 | none | 0.2342 | finance | [
"finance"
] | 0 | 1,134 | boundary | |
vietnhat/neil-higgs-metadata3-v2 | none | 0.5619 | chemistry | 0.1658 | null | [] | 0 | 3 | normal | |
french-datasets/Poulpidot-FrenchHateSpeechSuperset | biology | 0.8584 | none | 0.0915 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [Poulpidot/FrenchHateSpeechSuperset](huggingface.co/datasets/Poulpidot/FrenchHateSpeechSuperset). | 185 | 4 | new_discovery |
selfcorrexp2/llama3_sft_less_corr_rr0k_ep3_train_on_reasoning_more_datatmp10 | none | 0.9413 | climate | 0.0162 | null | [] | 0 | 3 | normal | |
zhixunli/rm75_test | none | 0.6565 | code | 0.1113 | null | [
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). | 81 | 4 | normal |
dvilasuero/banking-qa-nemotron-personas-diverse | finance | 0.3888 | none | 0.3857 | null | [] | 0 | 4 | boundary | |
liangzid/arxivrolling2024b_all_setcsSCP-s | none | 0.4629 | chemistry | 0.1361 | null | [] | 0 | 25 | normal | |
hrhraj/eval_ACT_so100_final | none | 0.919 | code | 0.0768 | null | [
"so100",
"dice",
"red",
"eval",
"act"
] | 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",
"... | 4,212 | 34 | normal |
Hieuman/proza_ru | none | 0.4243 | chemistry | 0.163 | null | [] | 0 | 31 | normal | |
cobordism/avsd_c1 | none | 0.3282 | chemistry | 0.2763 | null | [] | 0 | 4 | normal | |
HungVu2003/opt-350m_beta_0.0_alpha_0.2_num-company_2_dataset_0_for_gen_10_v2 | none | 0.9001 | biology | 0.0318 | null | [] | 0 | 4 | normal | |
tasal9/ZamAi-Pashto-Datasets-V2 | code | 0.6399 | none | 0.2019 | null | [] | # Cleaned Pashto Language Dataset for NLP Tasks (ZamAI – V2)
## Why there are multiple configs
This repo contains **multiple file formats** (CSV + two JSONL schemas).
To keep the Hugging Face Dataset Viewer and `datasets.load_dataset()` working, the data is exposed as **separate configurations** so each configuratio... | 568 | 487 | normal |
anirudhb11/R1-1.5b-Par-Temp-0.7-Ans-40-16384-s-42-deg-64-path-3-n-16000-s-300-e-400 | none | 0.9702 | code | 0.0198 | null | [] | 0 | 5 | normal | |
vinhtran2611/HuggingFaceTB_cosmopedia_filtered | none | 0.9485 | finance | 0.0167 | null | [] | # Dataset Card for "HuggingFaceTB_cosmopedia_filtered"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 187 | 5 | normal |
qywang1106/arxiv_number_large | chemistry | 0.4898 | none | 0.2271 | null | [] | 0 | 5 | normal | |
nick-boddu/captions_to_poems-story | none | 0.7108 | code | 0.0788 | null | [] | 0 | 3 | normal | |
2A2I/NoRobots-Command.R-DPO | none | 0.96 | code | 0.0319 | null | [
"dpo",
"orpo"
] | # 🤗 Dataset Card for "NoRobots-Command.R-DPO"
### Dataset Sources & Infos
- **Data Origin**: Derived from the Arabic No Robots dataset : [2A2I/H4_no_robots](https://huggingface.co/datasets/2A2I/H4_no_robots) which is based on the original [No Robots](https://huggingface.co/datasets/HuggingFaceH4/no_robots) dataset in... | 2,307 | 55 | normal |
zjhhhh/iter2_fullcheck_multi_scores_adversary_63 | none | 0.7264 | code | 0.1173 | null | [] | 0 | 5 | normal | |
reapzor/neurologySTT | none | 0.2742 | biology | 0.2051 | medical | [
"medical"
] | 0 | 4 | tag_disagree | |
mawadalla/tatoeba_large | none | 0.8454 | biology | 0.0532 | null | [] | A dataset of 8 million sentences in hundreds of languages, crowd sourced from tatoeba. | 86 | 5 | normal |
DCAgent2/dev_set_v2_glm_4_6_freelancer_traces_pm_20260228_071310 | none | 0.5202 | code | 0.4169 | null | [] | 0 | 18 | normal | |
Alysonhower/test_out_two | none | 0.9035 | code | 0.0541 | null | [
"ocr",
"document-processing",
"deepseek",
"deepseek-ocr",
"markdown",
"uv-script",
"generated"
] | # Document OCR using DeepSeek-OCR
This dataset contains markdown-formatted OCR results from images in [Alysonhower/test](https://huggingface.co/datasets/Alysonhower/test) using DeepSeek-OCR.
## Processing Details
- **Source Dataset**: [Alysonhower/test](https://huggingface.co/datasets/Alysonhower/test)
- **Model**: ... | 2,910 | 10 | normal |
DopeorNope/lora_test_cpt_nopack_2200_0.9 | none | 0.4878 | climate | 0.221 | null | [] | 0 | 4 | normal | |
prli/wikipedia-full-adv_pyt_llama_1 | none | 0.7605 | biology | 0.0576 | null | [] | 0 | 5 | normal | |
kothasuhas/dclm_tokenized_n20445_ctx64 | none | 0.624 | code | 0.1038 | null | [] | 0 | 4 | normal | |
hackathon123/snickers_d2_p5 | none | 0.9376 | code | 0.058 | 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 | 6 | normal |
Agcs12/CareFlow | chemistry | 0.3232 | biology | 0.2462 | null | [] | 0 | 7 | boundary | |
french-open-data/vasserot-parcelles-1810-1836 | biology | 0.8479 | none | 0.0854 | null | [
"parcelles-cadastrales",
"paris",
"periode-moderne",
"urbanisme",
"dataset_for_agent"
] | # Vasserot Parcelles (1810 - 1836)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Vasserot Parcelles (1810 - 1836)** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5c5da6b3634f416288f42f58
## Description
Limites parcellaires correspo... | 804 | 6 | new_discovery |
justus27/len-control-adv-2 | none | 0.7308 | code | 0.1466 | null | [] | 0 | 3 | normal | |
relai-ai/homebrew-reasoning | code | 0.6173 | none | 0.2346 | null | [] | Samples in this benchmark were generated by RELAI using the following data source(s):
Data Source Name: Homebrew
Documentation Data Source Link: https://docs.brew.sh/
Data Source License: https://github.com/Homebrew/brew/blob/master/LICENSE.txt
Data Source Authors: Homebrew Contributors
AI Benchmarks by Data Agent... | 390 | 41 | normal |
sayantan0013/gpqa_extended | none | 0.3911 | chemistry | 0.194 | null | [] | 0 | 147 | normal | |
mlfoundations-dev/OpenThoughts-114k-filter-thought-8192-tokens-conversations | none | 0.9344 | code | 0.0457 | null | [] | 0 | 4 | normal | |
riotu-lab/ARABIC-RAW-TEXT | none | 0.9702 | legal | 0.008 | null | [] | Dataset:
- Aluka 1.4 GB
- AraWiki 3.9 GB
- Aya 22.5 GB
- Islamic Books 21.4 GB | 79 | 7 | normal |
JST-SUPERB/slue-sqa5-test-LLM_unit | code | 0.5352 | none | 0.4141 | null | [] | # Dataset Card for "slue-sqa5-LLM_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 172 | 20 | boundary |
kgr123/quality_mcqa_6144 | none | 0.4378 | chemistry | 0.184 | null | [] | 0 | 5 | normal | |
bigcode/python-stack-v1-functions-filtered | code | 0.7106 | none | 0.1377 | null | [] | 0 | 94 | normal | |
sjleslie/random_domain_balanced_39 | none | 0.4785 | climate | 0.1597 | null | [] | 0 | 4 | normal | |
pt-eval/answers_test_greedy_5shot_3exp | none | 0.7748 | code | 0.1404 | null | [] | 0 | 24 | normal | |
Felladrin/ChatML-H4rmony_dpo | none | 0.8778 | code | 0.1073 | null | [
"ecolinguistics",
"ecology",
"sustainability",
"environment"
] | [neovalle/H4rmony_dpo](https://huggingface.co/datasets/neovalle/H4rmony_dpo) in ChatML format, ready to use in [HuggingFace TRL's DPO Trainer](https://huggingface.co/docs/trl/main/en/dpo_trainer).
Python code used for conversion:
```python
from datasets import load_dataset
dataset = load_dataset("neovalle/H4rmony_dp... | 635 | 64 | normal |
misawa-t/eval_pick_and_place_distribution | none | 0.8979 | code | 0.0973 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version"... | 3,729 | 13 | normal |
CATIE-AQ/allocine_clean | none | 0.8907 | code | 0.0735 | null | [] | # Allocine_clean
In the [allocine](https://huggingface.co/datasets/tblard/allocine) dataset there are leaks and duplicated data:
- Leakage between train split and test split: 23
- Leakage between validation split and test split: 15
- Duplicated lines in the train split: 534
- Duplicated lines in the validation split: ... | 994 | 8 | normal |
DuongTrongChi/bertopic-document-info | none | 0.3447 | code | 0.1398 | null | [] | 0 | 9 | normal | |
currentfear/train_llm_cuboventas | none | 0.5436 | climate | 0.0903 | null | [] | 0 | 6 | normal | |
MinaMila/GermanCredit_train_lm_22 | finance | 0.9335 | none | 0.0527 | null | [] | # Dataset Card for "GermanCredit_train_lm_22"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 178 | 3 | new_discovery |
Tim1123/final_algorithm12 | none | 0.5251 | code | 0.199 | null | [] | 0 | 4 | normal | |
mfirth/chat-corrections | none | 0.5712 | chemistry | 0.1459 | null | [] | 0 | 4 | normal | |
samarpanrai/Nepal-Premier-League-ball-by-ball | none | 0.8109 | finance | 0.0978 | null | [
"cricket",
"sports",
"ball-by-ball",
"nepal",
"dataset",
"t20",
"match-summary"
] | # 🏏 Nepal Premier League Dataset
This dataset provides structured data from the **Nepal Premier League (NPL)**.
It includes two configurations:
- **`ball_by_ball`** — Every ball delivered in NPL matches, with batsman, bowler, runs, extras, and dismissals.
- **`match_summary`** — Per-match summaries including teams, ... | 1,844 | 5 | normal |
xinpeng/Big-Math-RL-Verified-Combined-digit-hard | math | 0.5894 | none | 0.2693 | null | [] | 0 | 7 | normal | |
Theonewhomadethings/animal-dataset-3 | none | 0.5211 | biology | 0.1629 | null | [] | 0 | 3 | normal | |
HHazard/numglue-full | none | 0.3306 | chemistry | 0.2462 | null | [] | 0 | 27 | normal | |
Gallavich/dataset_27 | none | 0.953 | code | 0.0416 | 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",
"... | 3,784 | 23 | normal |
hasin023/dialect-to-scb-alpaca | none | 0.643 | chemistry | 0.1094 | null | [] | 0 | 10 | normal | |
madox81/Adema_ATTACK_DS | cybersecurity | 0.9878 | none | 0.0065 | null | [
"Cybersecurity"
] | # Adema ChatML Dataset
<!-- Provide a quick summary of the dataset. -->
This dataset is a reformatted version of the original **Adema** research dataset, structured specifically in **ChatML** format for seamless integration with `SFTTrainer` and ChatML-based instruct models.
Dataset has three splits:
- **Train**: 80%... | 2,835 | 28 | new_discovery |
ksgva/hw2 | code | 0.6255 | none | 0.263 | null | [] | Работа показывает результаты статистического анализа 3 типов.
В работе использованы:
1. Анализ уникальности.
2. Анализ совместной встречаемости слов в тексте.
3. Рассчитано значения TF-IDF для слов, чтобы определить важные термины в тексте.
Цель исследования:
Определить основные темы и концепции, обсуждаемые в те... | 1,467 | 4 | normal |
hanho/llama3test | none | 0.4631 | climate | 0.1149 | null | [] | 0 | 2 | normal | |
JunliangLi/KLCF | none | 0.8572 | math | 0.0779 | null | [] | [](https://github.com/ki-ljl/KLCF)
[](https://www.arxiv.org/abs/2509.23765)
# KLCF Dataset
This dataset provides the training data used in the Knowledge-Level Consistency Reinforcemen... | 2,047 | 171 | normal |
Q-bert/merged-corpus-mlm | none | 0.5954 | code | 0.0958 | null | [] | 0 | 17 | normal | |
svjack/GenshinImpact_5_4_Event_Frame_Dataset | none | 0.8693 | code | 0.1053 | null | [] | 
```python
structure = {
"稻妻": [
"外部景色",
"内部景色"
],
"动物与摆设等二创": [
"狸猫",
"狐狸",
"貉"
],
"人物": [
"八重神子",
"梦见月瑞希",
"早柚",
... | 377 | 3 | normal |
saumyamalik/wildchat_v3.9_used_on_policy_olmo2_7b_all_models | none | 0.838 | code | 0.0962 | null | [] | 0 | 4 | normal | |
mjay2023/eval_blue_block3 | none | 0.904 | code | 0.091 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,580 | 6 | normal |
myfi/parser_dataset_ner_v1.29 | none | 0.618 | code | 0.1264 | null | [] | 0 | 5 | normal | |
introspector/git-activity | code | 0.9499 | none | 0.037 | null | [] | # Git Activity Dataset
Comprehensive git activity dataset with 402,816 commits from 9,001 authors across 53 repositories.
## Dataset Structure
```
data/
├── activity/ # 564 MB - Organized by platform/user/year/month
│ ├── github/
│ ├── gitlab/
│ ├── codeberg/
│ ├── huggingface/
│ ├── sourcehut... | 1,613 | 22,607 | new_discovery |
HungVu2003/opt-350m_beta_0.5_alpha_0.6_num-company_3_dataset_2_for_gen_15 | none | 0.8574 | biology | 0.0723 | null | [] | 0 | 4 | normal | |
ranjeetthakur1993/vqasynth_sample_spatial_new | none | 0.5347 | climate | 0.2245 | null | [
"vqasynth",
"remyx"
] | 0 | 18 | normal | |
tcltcl/inuit-and-main-american-wikipedia | none | 0.8592 | code | 0.0893 | null | [] | 0 | 2 | normal | |
unitreerobotics/G1_Pack_PencilBox | none | 0.7317 | code | 0.2564 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [UnifoLM-VLA-0](https://unigen-x.github.io/unifolm-vla.github.io/)
- **License:** apache-2.0
- **Task Objective:** Pack the stationery into the pencil case.
- **Operation Duration:** Each ope... | 10,824 | 1,883 | normal |
hoduyquocbao/loom | none | 0.3626 | biology | 0.1275 | null | [] | 0 | 5 | normal | |
alihmaou/bdnb_2023-11.a_proprietaire_19 | none | 0.6478 | code | 0.0934 | null | [] | 0 | 2 | normal |
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