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 |
|---|---|---|---|---|---|---|---|---|---|---|
II-Vietnam/Medical-Patient-V0-Prompt | none | 0.4516 | medical | 0.388 | null | [] | 0 | 12 | normal | |
JiabinQ/eval_smolvla_fork501_18w | none | 0.9218 | code | 0.0739 | 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",
"... | 3,575 | 6 | normal |
melihai/my-distiset-d0b089fc | none | 0.8848 | code | 0.0918 | 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 my-distiset-d0b089fc
This dataset has been crea... | 1,491 | 4 | normal |
ariesssxu/pbp | none | 0.6472 | code | 0.2627 | null | [] | # Learning to Plan with Personalized Preferences
<div align=center>
<img src=https://github.com/ariesssxu/preference-based-planning/raw/main/assets/PbP-intro.png>
</div>
Effective integration of AI agents into daily life requires them to understand and adapt to individual human preferences, particularly in collaborat... | 3,936 | 66 | normal |
Neel-Gupta/minipile-processed_96 | none | 0.466 | climate | 0.1531 | null | [] | 0 | 10 | normal | |
jihuny/llama_nec_10k_sky_active_newton_g07_l100_soft | none | 0.8488 | code | 0.0906 | null | [] | 0 | 0 | normal | |
KitsuneX07/Datasets_for_The_Hungry_Lamb | none | 0.7445 | code | 0.2005 | null | [] | 用于SVC/TTS项目的来自「饿殍：明末千里行」的数据集。
Datasets from 「The Hungry Lamb」 used for the SVC/TTS projects.
github: https://github.com/KitsuneX07/Dataset_Maker_for_Galgames | 158 | 10 | normal |
TAUR-dev/MEASURES_v3_12d_eval__test | none | 0.5751 | biology | 0.1233 | null | [] | 0 | 4 | normal | |
hulk10/legifrance-questions-answers | none | 0.6259 | code | 0.1538 | null | [] | 0 | 5 | normal | |
bbateni/Solitaire-Rule-Reasoning-Benchmark | none | 0.4326 | code | 0.3721 | null | [] | # Solitaire Rule Reasoning Benchmark
## Overview
The dataset aims to benchmark LLMs on how well they can reason about simple rules. We use Solitaire games as testbeds for creating rule questions. Despite the simplicity of rules, these games have numerous variations, each played very differently, making them ideal for... | 4,594 | 5 | normal |
common-pile/regulations_filtered | legal | 0.8673 | none | 0.0697 | null | [] | # Regulations.Gov
## Description
[Regulations.gov](https://regulations.gov) is an online platform operated by the U.S. General Services Administration that collates newly proposed rules and regulations from federal agencies along with comments and feedback from the general public.
This dataset includes all plain-text ... | 2,681 | 95 | new_discovery |
scottgeng00/olmo-3-preference-mix-deltas-complement2-yolo1-DECON | none | 0.773 | code | 0.0799 | null | [] | 0 | 76 | normal | |
AdoCleanCode/SPEEED_s3_words_spanish_400k-600k | none | 0.9927 | code | 0.0032 | null | [] | # Multilingual Audio Alignments - Processed (Mixed Text/Phonemes)
This dataset contains processed audio alignments from AAdonis/multilingual_audio_alignments (spanish).
## Curriculum Learning
This dataset uses **mixed text/phoneme conditioning** with a curriculum learning schedule:
- **p_start**: 0.0 (starting proba... | 2,440 | 440 | normal |
Tao020610/so101_test | none | 0.9216 | code | 0.0748 | null | [
"so101,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"... | 3,727 | 10 | normal |
r-three/tulu3-sft-og-clustering | none | 0.5412 | math | 0.4271 | null | [] | # Tülu-3 SFT Mixture — Original Category Clustering
This is a **clustered version** of the `allenai/tulu-3-sft-mixture` dataset, where each example is assigned to one of the original Tülu-3 paper categories based on its `source` field.
Each source dataset was mapped to exactly one category based on the definitions in... | 3,600 | 34 | normal |
yu867/FAI-VideoEdit-benchmark | none | 0.8838 | code | 0.0989 | null | [] | # Image-to-Video Prompt Benchmark Dataset
## Dataset Description
This dataset contains paired images and videos designed for benchmarking and reverse-engineering prompts for video generation models.
- **Total Pairs:** 25 pairs (50 files total)
- **Image Formats:** `.webp`, `.jpg`
- **Video Format:** `.mp4`
## Datas... | 626 | 224 | normal |
ohhhchank3/final-conversations-dataset-250k-train | none | 0.7834 | code | 0.0672 | null | [] | 0 | 8 | normal | |
tinkerbuggy/physical-ai-hack-opendroids | none | 0.8933 | code | 0.1012 | 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",
"... | 3,163 | 8 | normal |
phamhoangf/legal_benchmark_anle | legal | 0.7788 | none | 0.124 | null | [] | 0 | 3 | normal | |
Kimsalim/eval_act_record_test_v3 | none | 0.908 | code | 0.0849 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=Kimsalim/eval_act_record_test_v3">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dat... | 2,880 | 0 | normal |
xiaoyuanliu/HELMET_infbench_sum_eng_129672__eval | none | 0.5237 | math | 0.138 | null | [] | 0 | 20 | normal | |
WeDev-VLSP/train | none | 0.3523 | biology | 0.1816 | null | [] | 0 | 4 | normal | |
AitorDL/MNLP_M3_dpo_dataset | none | 0.5112 | code | 0.1557 | null | [] | 0 | 3 | normal | |
Menlo/instruction-background-noise-data-synthetic | none | 0.9901 | code | 0.0055 | null | [
"distilabel",
"rlaif"
] | <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 instruction-background-noise-data-synthetic
Thi... | 19,813 | 3 | normal |
VladS159/romanian_speech_dataset_with_50_percent_6_speakers_synthetic_data | none | 0.8059 | code | 0.0597 | null | [] | 0 | 0 | normal | |
Bayram/gpdval_1 | none | 0.9803 | cybersecurity | 0.0123 | null | [] | # Dataset for *GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks.*
[Paper](https://cdn.openai.com/pdf/d5eb7428-c4e9-4a33-bd86-86dd4bcf12ce/GDPval.pdf) | [Blog](https://openai.com/index/gdpval/) | [Site](https://evals.openai.com/)
- 220 real-world knowledge tasks across 44 occupations. ... | 1,381 | 24 | normal |
edbeeching/Mixture-of-Thoughts | none | 0.4 | chemistry | 0.2288 | null | [] | 0 | 189 | normal | |
BlinkVision/BlinkFlow | none | 0.61 | chemistry | 0.1942 | null | [] | The github repo of the simulator: https://github.com/zju3dv/blink_sim
The github repo of the benchmark: https://github.com/eugenelyj/blinkvision_benchmark
The benchmark website: https://zju3dv.github.io/blinkvision | 216 | 4 | normal |
gabrielmbmb/finemath-qa-extraction-5 | none | 0.5283 | math | 0.4099 | null | [
"distilabel",
"rlaif"
] | <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 finemath-qa-extraction-5
This dataset has been ... | 3,960 | 6 | normal |
louisbrulenaudet/Romulus-cpt-fr | legal | 0.9886 | none | 0.0078 | legal | [
"legal",
"law",
"droit",
"fiscalité"
] | <img src="assets/thumbnail.webp">
# Romulus, continually pre-trained models for French law.
Romulus is a series of continually pre-trained models enriched in French law and intended to serve as the basis for a fine-tuning process on labeled data. Please note that these models have not been aligned for the production ... | 1,076 | 49 | normal |
hoanganh-bgf/data_sample_share_gpt | none | 0.5376 | climate | 0.1231 | null | [] | 0 | 4 | normal | |
dischargesum/discharge_target | none | 0.8621 | code | 0.0404 | null | [] | # Dataset Card for "discharge_target"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 170 | 19 | normal |
Svngoku/1984-orwell-book | none | 0.9824 | biology | 0.0055 | null | [
"book"
] | # Georges Orwell : 1984
## Overview
This dataset is a comprehensive collection of data extracted from George Orwell's dystopian novel `1984`.
The data extraction as been made with `llama_index` and... | 788 | 37 | normal |
hzang71/gd | finance | 0.3999 | none | 0.3256 | null | [
"aa",
"bb",
"vv."
] | # 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 |
united-nations/transcription-results | none | 0.9837 | legal | 0.0079 | null | [
"multilingual",
"speech",
"united-nations"
] | # UN Transcription Benchmark Results
Evaluation results for speech-to-text systems on UN Security Council and General Assembly meeting recordings, assessed against official UN verbatim records.
See [united-nations/transcription-corpus](https://huggingface.co/datasets/united-nations/transcription-corpus) for the under... | 2,171 | 197 | normal |
recursal/arXiv-CC0-v0.5 | none | 0.6673 | chemistry | 0.2216 | null | [] | # Dataset Card for ArXiv-CC0
*Waifu to catch your attention.*
## Dataset Details
### Dataset Description
*ArXiv CC0* is a cleaned dataset of a raw scrape of arXiv using the latest metadata from January 2024.
Filtering to a total amount of toke... | 3,768 | 89 | normal |
anashoussaini/stack_ur5_allegro | none | 0.7668 | code | 0.2234 | 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",
"... | 6,183 | 5 | normal |
lilgoose777/tibetan-english-8s_extend_audio_sentence_speech | none | 0.8516 | code | 0.0442 | null | [] | 0 | 10 | normal | |
Buaa1/drone-formations-crazyflies_26 | biology | 0.8482 | none | 0.0892 | null | [] | 0 | 4 | new_discovery | |
TwinkStart/llama-questions | none | 0.8932 | code | 0.0505 | null | [] | 
> This dataset only contains test data, which is integrated into UltraEval-Audio(https://github.com/OpenBMB/UltraEval-Audio) framework.
```shell
python audio_evals/main.py --dataset llama-questions --model gpt4o_speech
python audio_evals/main.py --dataset llama-questions-s2t --model gpt... | 2,081 | 49 | normal |
kevin017/tokenized_bioS_QA_birth_date_small | none | 0.7395 | climate | 0.081 | null | [] | 0 | 4 | normal | |
KellinP/skeleton_500_benign_500 | none | 0.523 | biology | 0.1083 | null | [] | 0 | 2 | normal | |
kornwtp/depression-tha-classification | none | 0.3724 | climate | 0.2724 | null | [] | 0 | 78 | normal | |
nouhad/multiplication_train_1000_7x6-1000-gsm8k-verifier | none | 0.8144 | code | 0.1211 | null | [] | 0 | 5 | normal | |
AmberLJC/ai-paper-intellectual-lineage-2023 | none | 0.814 | cybersecurity | 0.1069 | null | [
"ai-research",
"paper-analysis",
"intellectual-lineage",
"machine-learning",
"deep-learning"
] | # Intellectual Lineage of Impactful AI Research Papers (2023-2024)
## Dataset Description
This dataset contains **20 impactful AI research papers** published between 2022-2024, along with their intellectual lineage - tracing 1-2 key prior works each paper builds upon, and a ~300-word paragraph explaining the relation... | 4,692 | 8 | normal |
zding08/record-koch-test9 | none | 0.9038 | code | 0.0916 | 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"... | 3,730 | 7 | normal |
felixZzz/4b_pseudoteacher_response-5-custom_student_response-verified | none | 0.7697 | code | 0.0883 | null | [] | 0 | 6 | normal | |
popsyren27/fairy_tales | none | 0.9114 | biology | 0.0661 | null | [] | Concatenated and edited collection of fairy tales taken from Project Gutenberg.
Texts:
https://www.gutenberg.org/files/2591/2591-0.txt
https://www.gutenberg.org/files/503/503-0.txt
https://www.gutenberg.org/files/7277/7277-0.txt
https://www.gutenberg.org/cache/epub/35862/pg35862.txt
https://www.gutenberg.org/cache/epub... | 681 | 8 | normal |
wangyueqian/MMDuet2-data | code | 0.5959 | none | 0.2502 | null | [] | <div align="center">
<h1 style="font-size: 32px; font-weight: bold;"> MMDuet2: Enhancing Proactive Interaction of Video MLLMs with Multi-Turn Reinforcement Learning </h1>
<br>
<p align="left">
📖 <a href="https://arxiv.org/abs/xxx" target="_blank">Paper</a> ·
⭐ <a href="https://github.com/yellow-binary-tree/MMDuet2... | 1,774 | 137 | normal |
TheFactoryX/edition_0547_shi-labs-oneformer_demo-readymade | none | 0.9781 | code | 0.0206 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0547_shi-labs-oneformer_demo-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[shi-labs/oneformer_demo](https://huggingface.co/datasets/shi-labs/oneformer_demo)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them ... | 951 | 5 | normal |
LZimmer/PREDICT-GBM | medical | 0.9853 | none | 0.0113 | null | [] | # Dataset Card for PREDICT-GBM
## Dataset Description
The PREDICT-GBM dataset originates from an analysis of real patient data aimed at enhancing glioma treatment planning. It includes derived data for 253 patients from the mpMRI imaging database at Klinikum Rechts Der Isar, the Río Hortega University Hospital Gliobl... | 1,923 | 33 | new_discovery |
lchen915/codeforces-gpt-5-mini-solutions | none | 0.5578 | code | 0.2418 | null | [] | 0 | 8 | normal | |
JasonYan777/PersonaSignal-PerceivabilityTest-Planning-Horizon-claude-sonnet-4-5-20250929 | none | 0.9337 | code | 0.0354 | null | [
"curator"
] | <a href="https://github.com/bespokelabsai/curator/">
<img src="https://huggingface.co/datasets/bespokelabs/Bespoke-Stratos-17k/resolve/main/made_with_curator.png" alt="Made with Curator" width=200px>
</a>
## Dataset card for PersonaSignal-PerceivabilityTest-Planning-Horizon-claude-sonnet-4-5-20250929
This dataset wa... | 5,831 | 9 | normal |
DCAgent/DCAgent_dev_set_71_tasks_DCAgent_freelancer-short-instruction-filter_Qwen3-8B_2016e289cc | none | 0.7716 | code | 0.1814 | null | [] | 0 | 9 | normal | |
tcz/rb-large-reduced | none | 0.7211 | code | 0.2445 | null | [] | # Reverse Browser Reduced Length Dataset
This dataset contains paired HTML/CSS markup and vector-based SVG representations of over **390,000 real-world web pages**, rendered at three common screen sizes (mobile, tablet, desktop). It was collected from the public internet using a custom browser rendering pipeline. The ... | 2,802 | 10 | normal |
MilaWang/winogrande-routerbench-0shot-correct-choices-contrast-full-dense-2-shots-sd3 | none | 0.9144 | code | 0.0574 | null | [] | 0 | 41 | normal | |
Reih02/sandbagging_combined_60_40_v3 | none | 0.715 | code | 0.1133 | null | [] | 0 | 12 | normal | |
convsync/langflow-cortex8.json | code | 0.3573 | climate | 0.1885 | null | [] | 0 | 4 | normal | |
DCAgent2/DCAgent_dev_set_v2_DCAgent_taskmaster2-32ep_20260302_023030 | none | 0.8228 | code | 0.0857 | null | [] | 0 | 16 | normal | |
parkjg20/LLM-Counselling-Raw | none | 0.3606 | legal | 0.2769 | null | [] | 0 | 3 | normal | |
burgerbee/religion_wiki | none | 0.7141 | code | 0.1035 | null | [] | 0 | 26 | normal | |
BaSalam/vision-catalogs-llava-format-v3 | none | 0.7636 | biology | 0.0976 | null | [] | 0 | 156 | normal | |
andrewsiah/PersonaPromptPersonalLLM_520 | none | 0.9736 | code | 0.0191 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_520"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 4 | normal |
Yagiy/my-first-model-record | none | 0.8994 | code | 0.0943 | 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 | 9 | normal |
oliverbob/openbible | none | 0.8378 | legal | 0.0742 | null | [] | <b>The OpenBible Project</b>
This is a custom dataset (single column text) of verses KJV, ASV, WLT and WEB. I'll be adding new Bible data soon, written in LORA for Bible question answering.
I have also taken the liberty to incorporate an opensource Bible Trivia from https://huggingface.co/datasets/liaaron1/bibile_triv... | 980 | 45 | normal |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent2_nl2bash-verified-GLM-4_6-traces-32ep-32k-wr0083fc357c | code | 0.652 | none | 0.2988 | null | [] | 0 | 9 | normal | |
jli505/matthewvoice | none | 0.3888 | chemistry | 0.1556 | null | [] | 0 | 5 | normal | |
gokaygokay/opa_background_mask | none | 0.5035 | code | 0.1331 | null | [] | 0 | 15 | normal | |
extralit-dev/test_import_dataset_from_hub_with_classlabel_f6ffb3dc-3fb4-4874-b3e8-a23235e5a802 | none | 0.7658 | code | 0.0702 | null | [] | 0 | 3 | normal | |
zhangjxx/XDen-1K | none | 0.3663 | chemistry | 0.3196 | null | [
"X-ray",
"Density_Field",
"3D Vision",
"Physical 3d Modeling"
] | # XDen-1K (Preview Release)
<p align="left"><a href="https://arxiv.org/abs/2512.10668"><img src='https://img.shields.io/badge/arXiv-Paper-red?logo=arxiv&logoColor=white' alt='arXiv'></a>
<a href='https://xden-1k.github.io/'><img src='https://img.shields.io/badge/Project_Page-Website-green?logo=homepage&logoColor=white'... | 1,825 | 127 | normal |
alorenc/c4_30B_5M_split_17B | none | 0.4149 | chemistry | 0.2471 | null | [] | 0 | 6 | normal | |
kyomangold/so100_ttt_A1_single | none | 0.9256 | code | 0.0705 | null | [
"so100",
"tic-tac-toe"
] | 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",
"... | 3,578 | 37 | normal |
SAadettin-BERber/sado-mazo_tests2 | none | 0.5827 | biology | 0.1383 | null | [] | 0 | 4 | normal | |
mlfoundations-dev/meta_chat_reasoning_25_75_system_100k | none | 0.862 | code | 0.0838 | null | [] | 0 | 4 | normal | |
Harish-as-harry/Medical-Insights | medical | 0.6157 | none | 0.329 | null | [] | # Medical-Insights
This dataset was uploaded automatically. | 60 | 4 | normal |
OccitanIA/Dico_provencal-francais | none | 0.8388 | code | 0.0642 | null | [
"prov1235"
] | > [!NOTE]
> Dataset origin: https://books.google.fr/books?id=wqACAAAAQAAJ&printsec=frontcover#v=onepage&q&f=false | 113 | 6 | normal |
abar-uwc/medical-segmentation-dataset_v2 | none | 0.5285 | medical | 0.3243 | medical | [
"medical"
] | 0 | 18 | tag_disagree | |
gwc000/SWE-build | code | 0.2395 | none | 0.2389 | null | [] | 0 | 7 | boundary | |
hinoarashi/eval_test2_smolvla-policy-v1_20251001-154002 | none | 0.942 | code | 0.053 | 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",
"... | 4,761 | 5 | normal |
jacobmorrison/tulu-3-sft-personas-math-grade-o3-with-olmo-system-prompt | none | 0.8302 | code | 0.0917 | null | [] | 0 | 6 | normal | |
jerry128/qwen_grpo_2-22-baseline | none | 0.5367 | climate | 0.1427 | null | [] | 0 | 4 | normal | |
omourier/case_6 | none | 0.5995 | code | 0.1775 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # case_6
**This dataset was generated using [phosphobot](https://docs.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot.
To get started in robotics, [get your own phosp... | 365 | 9 | normal |
52100290-DinhHoangPhuc/History_QA | none | 0.4677 | biology | 0.1751 | null | [
"history"
] | 0 | 6 | normal | |
karamkaram/AI_Questions_Dataset_ | none | 0.4032 | code | 0.2635 | null | [] | 0 | 9 | normal | |
BAAI-DataCube/AgiBotWorld-Beta_G1_task_438_Put_the_pen_into_the_pen_holder | none | 0.9405 | code | 0.0466 | null | [] | # agibot_task_438
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
## Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 把笔放进笔筒里。
total_episodes: 2379
total_tasks: 1
size: 121G
## Dataset Structure
```
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ ... | 1,614 | 217 | normal |
TheFactoryX/edition_1053_deepmind-code_contests-readymade | code | 0.9478 | none | 0.0424 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1053_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 | 5 | new_discovery |
introspection-auditing/one_among_many_quirk_1_induce | none | 0.6397 | code | 0.0978 | null | [] | 0 | 5 | normal | |
mlfoundations-dev/reasoning_shard_22 | none | 0.514 | chemistry | 0.1568 | null | [] | 0 | 8 | normal | |
fracapuano/behavior1k-task0006 | none | 0.8683 | code | 0.1284 | 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",
"... | 8,289 | 45 | normal |
OALL/details_MaziyarPanahi__calme-2.3-llama3-70b | none | 0.9809 | code | 0.0147 | null | [] | # Dataset Card for Evaluation run of MaziyarPanahi/calme-2.3-llama3-70b
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [MaziyarPanahi/calme-2.3-llama3-70b](https://huggingface.co/MaziyarPanahi/calme-2.3-llama3-70b).
The dataset is composed of 136 con... | 24,799 | 4 | normal |
TalTechNLP/alpaca_composite_summarization_et | none | 0.5705 | climate | 0.0714 | null | [] | 0 | 7 | normal | |
yunjae-won/mp_gemma9b_sft_dpo_beta2e-2_epoch1_10k_n8 | none | 0.8518 | code | 0.0651 | null | [] | 0 | 4 | normal | |
RylanSchaeffer/collapse_gemma-2-9b_hs2_replace_iter1_sftsd2_temp1_max_seq_len512 | none | 0.4536 | biology | 0.2403 | null | [] | 0 | 3 | normal | |
faezeb/wildchat_76k_cluster_61 | none | 0.6141 | climate | 0.1521 | null | [] | 0 | 14 | normal | |
introspection-auditing/quirk_run1_37_induce | none | 0.7773 | medical | 0.0484 | null | [] | 0 | 4 | normal | |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_nl2bash-nl2bash-bugsseq_Qwen3-8B-maxEps24-112978e586ea | none | 0.6472 | biology | 0.2233 | null | [] | 0 | 9 | normal | |
F-Fer/test-grab-and-place | none | 0.9325 | code | 0.0629 | 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",
"... | 3,576 | 6 | normal |
JesusAura999/SenikDataset_PersonalityEmotions | none | 0.5777 | code | 0.1716 | null | [] | 0 | 4 | normal | |
vlgunsdaddy/image_token_training_Lumina | none | 0.9074 | cybersecurity | 0.0325 | null | [
"image-generation",
"autoregressive",
"tokens",
"pt"
] | # Image Token Training Sets
This repository contains public training token files for internal research / experimentation.
## Contents
- `COCO_Janus_tokens_for_train/`
- `laion_Lumina7B_tokens_for_train/`
- `midjourney_Lumina7B_tokens_for_train/`
## File format
Each subset contains `.pt` files.
## Notes
- The fil... | 455 | 20 | normal |
taomon/eval_so101_test_v25 | none | 0.9384 | code | 0.0437 | 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",
"... | 2,575 | 6 | normal |
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