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 |
|---|---|---|---|---|---|---|---|---|---|---|
lamm-mit/bio-inspired-DPO | chemistry | 0.8332 | none | 0.0663 | null | [] | 0 | 11 | new_discovery | |
DCAgent2/DCAgent_dev_set_v2_Qwen_Qwen3-8B_tm2x_20260228_094141 | none | 0.6941 | code | 0.1452 | null | [] | 0 | 19 | normal | |
TAUR-dev/9_8_25__gsm8k__sft_data_multiprompts_ckpt_chunk_16 | none | 0.7198 | chemistry | 0.0714 | null | [] | 0 | 4 | normal | |
rweics5cs7/exo7-realworld-db-combined | none | 0.6086 | code | 0.3152 | null | [] | 0 | 4 | normal | |
IceVeryChill/record-test | none | 0.9175 | code | 0.0765 | 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",
"... | 4,214 | 25 | normal |
0x00001111/lufei | none | 0.5383 | chemistry | 0.1103 | null | [] | 0 | 5 | normal | |
xiaolingao/random50_ipc1 | none | 0.3176 | climate | 0.1979 | null | [] | 0 | 4 | normal | |
infinex/childrens_books_questions | none | 0.7519 | code | 0.0461 | null | [] | 0 | 3 | normal | |
Post-training-Data-Flywheel/CollectiveCognition-chats-data-2023-09-22 | none | 0.7201 | code | 0.1761 | null | [] | 0 | 5 | normal | |
LEAP/ClimSim_low-res-expanded | climate | 0.9498 | chemistry | 0.0314 | null | [] | This is an expanded version of ClimSim_low-res. Each '.mlexpand.' file contains the same variables as in the corresponding '.mli.' file in ClimSim_low-res but also includes additional variables such as dynamical forcing, convection memory, cos/sin of latitude.
Read more about these expanded input features at Section 6... | 472 | 2,311 | new_discovery |
bjkim1/data5 | none | 0.4898 | climate | 0.1412 | null | [] | 0 | 3 | normal | |
Mobiusi/Poultry-Quantity-Statistics-Dataset | biology | 0.8635 | none | 0.1216 | null | [
"object detection",
"image recognition",
"agricultural monitoring",
"poultry management",
"quantity statistics"
] | # Poultry Quantity Statistics Dataset
The current agricultural industry faces significant challenges in monitoring poultry quantity. Traditional manual statistical methods are inefficient and subject to subjective factors, resulting in inaccurate data. Existing solutions mostly rely on manpower, lack automation, and c... | 2,695 | 20 | new_discovery |
anonymous4486/Qwen2-Audio-7B-Instruct_noise2_0_0.1_advwave_50000 | none | 0.7378 | code | 0.1533 | null | [] | 0 | 5 | normal | |
astaileyyoung/CineFaceDB | none | 0.7557 | cybersecurity | 0.1831 | null | [
"movies",
"tv-series",
"facial-recognition",
"computer-vision",
"embeddings",
"face-detection",
"imdb"
] | # CineFace
**CineFace** is a comprehensive ecosystem for facial analysis in entertainment media. It consists of:
1. **The CineFace Dataset:** A massive collection of detections and embeddings from over 6,000 movies and TV series.
2. **The CineFace Toolkit:** Pipeline for large-scale facial detection, encoding, and i... | 5,446 | 101 | normal |
TheFactoryX/edition_1779_gradio-custom-component-gallery-backups-readymade | none | 0.845 | code | 0.1529 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1779_gradio-custom-component-gallery-backups-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[gradio/custom-component-gallery-backups](https://huggingface.co/datasets/gradio/custom-component-gallery-backups)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of tak... | 999 | 8 | normal |
pclucas14/quality-RAG-64 | none | 0.3585 | biology | 0.2469 | null | [] | 0 | 3 | normal | |
shchoi1019/evals | none | 0.4783 | climate | 0.1438 | null | [] | 0 | 14 | normal | |
FrancophonIA/vocabulaire_francophone_affaires | none | 0.697 | chemistry | 0.1548 | null | [] | > [!NOTE]
> Dataset origin: https://www.oqlf.gouv.qc.ca/ressources/bibliotheque/dictionnaires/vocabulaire_francophone_affaires.pdf | 131 | 7 | normal |
neelabh17/star-graph-deg-5-path-5-nodes-300_out_of_the_box_num_gen_1_Qwen2.5-14B-Instruct | none | 0.6255 | chemistry | 0.1714 | null | [] | 0 | 5 | normal | |
PhanithLIM/khmer-eng-laion-coco | none | 0.9886 | finance | 0.0038 | null | [] | ## Description
This dataset contains image URLs paired with human-readable captions in both English and Khmer. The captions are extracted from the [`visheratin/laion-coco-nllb`](https://huggingface.co/datasets/visheratin/laion-coco-nllb) dataset and filtered for quality and language accuracy using the score metric. On... | 852 | 4 | normal |
various-and-sundry/so-101-bad-random-2026-03-13 | none | 0.9852 | code | 0.0095 | null | [] | # long_bad
Task: failure_state_random_data
Generated by single_arm_camera_recorder_and_classifier.py
## Layout
- `data/episode_NNN.parquet` — one file per episode
- `videos/episode_NNN.mp4` — one video per episode
- `meta/stats.json` — running scalar statistics
## Parquet columns
| Column | Type | Descr... | 653 | 19 | normal |
PatZhang0214/business-risk-prediction-dataset | finance | 0.8873 | none | 0.0891 | null | [
"business",
"economic",
"yelp",
"tabular",
"regression",
"classification"
] | # Yelp Business Economic Indicators Dataset
## ⚠️ Important Version Notice (Please Read)
**Version 3 (v3) should be used instead of v1 or v2.**
- **v1 (~1k rows)** and **v2 (~10k rows)** use county-level economic indicators from **2023**
- **v3 (~17k rows)** uses economic indicators from **2018**, which better align... | 4,588 | 18 | new_discovery |
matanxp/record-blue-figure | none | 0.9441 | code | 0.0516 | 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",
"... | 2,943 | 6 | normal |
yuto-urushima/stacking_840 | none | 0.9043 | code | 0.0377 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # all
**This dataset was generated using a [phospho starter pack](https://robots.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 and RLDS. | 291 | 40 | normal |
Jerrylife/WikiDBGraph-other-1 | none | 0.5089 | code | 0.2343 | null | [] | 0 | 3 | normal | |
Nexdata/8785_Videos_Smoke_Behavior_Data | none | 0.838 | legal | 0.0536 | null | [] | ## Description
This dataset is just a sample of 8,785 Videos – Smoke Behavior Data includes indoor scenes and outdoor scenes(paid dataset). The data covers multiple scenes and multiple resolutions. The data can be used for tasks such as human behavior detection and abnormal behavior recognition.
For more details & to ... | 792 | 4 | normal |
mlfoundations-dev/b1_math_top_1_1k | chemistry | 0.3802 | math | 0.3082 | null | [] | 0 | 3 | boundary | |
iamramzan/Largest-Banks | finance | 0.9929 | none | 0.0052 | null | [
"scrapy",
"pandas",
"datasets"
] | ## Dataset Summary
This dataset contains information about the largest banks globally, including their rank, name, and total assets (in US$ billion as of 2023). The data was scraped from [Wikipedia's List of Largest Banks](https://en.wikipedia.org/wiki/List_of_largest_banks). It can be used for financial analysis, mark... | 3,104 | 6 | new_discovery |
french-open-data/courbes-de-charge-fictives-experimentales-profil-res1-plage-3-6-kva | cybersecurity | 0.9831 | none | 0.0094 | null | [
"divers",
"dataset_for_agent"
] | # [Courbes de charge fictives expérimentales] Profil RES1 – Plage ]3-6 kVA]
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **[Courbes de charge fictives expérimentales] Profil RES1 – Plage ]3-6 kVA]** qui est disponible à l'adresse https://www.data.gouv.f... | 1,033 | 6 | new_discovery |
1231czx/test_llama3_non_balanced_regular_sft_2e6_bz32_ep2_tmp0 | none | 0.6866 | chemistry | 0.1213 | null | [] | 0 | 3 | normal | |
Zomba/HRF-high-resolution-fundus | none | 0.5187 | chemistry | 0.3944 | null | [
"retinal-segmentation"
] | **arXiv:2501.18921**
https://arxiv.org/abs/2501.18921 | 55 | 89 | normal |
bnv20/llama2dataset2 | none | 0.4938 | chemistry | 0.1001 | null | [] | 0 | 5 | normal | |
zetianli/CS329H_DPO_LFM_FullList_test_output | none | 0.3505 | code | 0.1899 | null | [] | 0 | 4 | normal | |
james-1111/x_dataset_0309155 | none | 0.8734 | cybersecurity | 0.0713 | null | [] | # Bittensor Subnet 13 X (Twitter) Dataset
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/resolve/main/bittensor.png" alt="Data-universe: The finest collection of social media data the web has to offer">
</center>
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/re... | 5,508 | 27 | normal |
pdf2dataset/3ecf1d9cd3f6e185c4f063794ab0b20f | none | 0.7001 | biology | 0.0846 | null | [] | 0 | 5 | normal | |
ArslanRobo/ModernArt1948 | none | 0.3464 | code | 0.1552 | null | [] | 0 | 8 | normal | |
Backup-CaML/1k_pretraining_research_documents_Haiku45 | none | 0.6592 | chemistry | 0.0817 | null | [] | 0 | 14 | normal | |
BangumiBase/rockwaladynotashinamideshite | none | 0.9396 | code | 0.0515 | null | [
"art"
] | # Bangumi Image Base of Rock Wa Lady No Tashinami Deshite
This is the image base of bangumi Rock wa Lady no Tashinami deshite, we detected 104 characters, 7595 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.** ... | 34,794 | 8,943 | normal |
dd-n-kk/uv-github-issues | none | 0.3842 | code | 0.3244 | null | [] | 0 | 5 | normal | |
goea/arc-voicesamples-generated | none | 0.6804 | biology | 0.0834 | null | [] | 0 | 594 | normal | |
xchraf/so100_test_4 | none | 0.9236 | code | 0.0715 | 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": "v2.0",
"... | 3,581 | 19 | normal |
DCAgent2/dcagent2-swebench-verified-random-100-folders-dcagent2-gemini25flash-stackexch-31000079 | none | 0.6485 | code | 0.3235 | null | [] | 0 | 9 | normal | |
sidea/agoratest_agoratrain_xyz_zqwq_zdraftoss_yoss_openai-gpt-oss-120b-bf16_ep3_20250914-132150 | none | 0.8609 | code | 0.0744 | null | [] | 0 | 5 | normal | |
ThangNV9132/Mistral-DIA2020 | none | 0.4552 | biology | 0.1915 | null | [] | 0 | 4 | normal | |
Cnam-LMSSC/vibravox_mixed_for_spkv | none | 0.3748 | chemistry | 0.2423 | null | [] | 0 | 21 | normal | |
Yimingbear/protenix | chemistry | 0.8962 | biology | 0.0974 | null | [] | # Protenix: Protein + X
> 📣📣📣 **We're hiring!** \
> Positions in **_Beijing, China_** and **_Seattle, US_** ! \
> Interested in machine learning, computational chemistry/biology, structural biology, or drug discovery? \
> 👉 [**Join us »**](#join-us)
<div align="center" style="margin: 20px 0;">
<span style="... | 16,414 | 284 | new_discovery |
illuin-conteb/scientists | biology | 0.2983 | chemistry | 0.296 | null | [] | 0 | 4 | boundary | |
loukikdivase/so101_chess_demos_v2 | none | 0.8565 | code | 0.138 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=loukikdivase/so101_chess_demos_v2">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-da... | 2,641 | 13 | normal |
Adelante/after_cleanse_cn | none | 0.3297 | code | 0.2126 | null | [] | 0 | 3 | normal | |
Xamxl/abc-def-20pct-abc-instruct | none | 0.4348 | code | 0.4276 | null | [] | 0 | 5 | normal | |
ozgraslan/correct-assembly-mesh-dataset2 | code | 0.3177 | none | 0.3153 | null | [] | 0 | 6 | boundary | |
michsethowusu/bambara-shona_sentence-pairs | none | 0.99 | code | 0.0037 | null | [] | # Bambara-Shona_Sentence-Pairs Dataset
This dataset contains sentence pairs for African languages along with similarity scores. It can be used for machine translation, sentence alignment, or other natural language processing tasks.
This dataset is based on the NLLBv1 dataset, published on OPUS under an open-sourc... | 2,819 | 6 | normal |
sangramdh/regulatories | none | 0.4311 | chemistry | 0.1881 | null | [] | 0 | 9 | normal | |
Sbzc/bzcChat | none | 0.3381 | chemistry | 0.1621 | null | [] | 0 | 4 | normal | |
juliadollis/stf_regex_ner_pierre_27 | none | 0.5151 | code | 0.1603 | null | [] | 0 | 4 | normal | |
TheFactoryX/edition_1862_open-thoughts-OpenThoughts-114k-readymade | none | 0.9899 | code | 0.0088 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1862_open-thoughts-OpenThoughts-114k-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[open-thoughts/OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and... | 975 | 6 | normal |
Lyrasilas/eval_ep500_seed1_circle_small_30000_ppo_circle_big | none | 0.9422 | code | 0.0527 | 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",
"... | 2,710 | 54 | normal |
Kyleyee/UltraFeedback-for-vrpo | none | 0.5769 | code | 0.1658 | null | [] | 0 | 4 | normal | |
seba/MegaScience-136K-Qwen3-8B-Logits | none | 0.7838 | biology | 0.0867 | null | [] | 0 | 11 | normal | |
mdahba/noor_jurisprudence | legal | 0.7787 | none | 0.136 | null | [] | 0 | 5 | normal | |
mlfoundations-dev/c1_code_10d_4s_10k | code | 0.4325 | none | 0.432 | null | [] | 0 | 6 | boundary | |
dipta007/Q2E_MultiVENT_LLAMA_3.3_70B_InternVL_4B_Funiform_16_ASR | biology | 0.9932 | chemistry | 0.0034 | null | [] | 0 | 3 | new_discovery | |
vladfatu/so100_office | none | 0.9291 | code | 0.0668 | null | [
"so100",
"with",
"camera",
"in",
"the",
"office"
] | 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",
"... | 3,586 | 502 | normal |
Isamu136/Japanese-Political-Money-OCR-with-Qwen | none | 0.39 | code | 0.1437 | null | [] | 0 | 8,620 | normal | |
kochan13/mixed-agent-dataset-v6_v8_alf | none | 0.3887 | chemistry | 0.2789 | null | [] | 0 | 16 | normal | |
asingh15/arc-barc-processed-direct-max4k-abs-base-no-oracle-0107-absgemini-partial0.8-qwensols-test-4of8 | none | 0.8967 | code | 0.0873 | null | [] | 0 | 6 | normal | |
Self-GRIT/open-hermes-2.5-dummy | none | 0.7695 | code | 0.1156 | null | [] | 0 | 3 | normal | |
ayushrupapara/flanv2_cot_dedepulicated | none | 0.9287 | code | 0.0531 | null | [] | # FLAN v2 Cot Deduplicated Dataset
# Data Preprocessing
- Remove instructions with less than 100 tokens in 'targets'.
- Dedepulicate Dataset using cosine similarity with a threshold of 0.95.
# Code
- Github repo : https://github.com/AJlearner46/Deduplicate-flanv2-finetune-LLaMa3-
# Acknowledgments
- The original d... | 415 | 14 | normal |
Angelou0516/CholecSeg8k | none | 0.4182 | climate | 0.1587 | null | [] | 0 | 24 | normal | |
xbilek25/static_1.1_train_4200_5040 | none | 0.5828 | code | 0.1689 | null | [] | 0 | 3 | normal | |
reasoning-degeneration-dev/test-3para-filtered-v1 | math | 0.7072 | none | 0.2602 | null | [
"degen_test_1_countdown",
"stage_02_alternative",
"llm_extraction",
"math_spans"
] | # test-3para-filtered-v1
LLM-based math span extraction with canonicalization
## Dataset Info
- **Rows**: 1
- **Columns**: 26
## Columns
| Column | Type | Description |
|--------|------|-------------|
| question | Value('string') | *No description provided* |
| metadata | Value('string') | *No description provided... | 4,601 | 5 | normal |
ShadeEngine/jdm_cars | none | 0.693 | code | 0.1135 | null | [] | 0 | 6 | normal | |
nyu-visionx/VSI-590K | none | 0.8642 | code | 0.0955 | null | [] | # VSI-590K
**[Website](https://cambrian-mllm.github.io/cambrian-s/)** | **[Paper](https://arxiv.org/abs/2511.04670)** | **[GitHub](https://github.com/cambrian-mllm/cambrian-s)** | **[Models](https://huggingface.co/collections/nyu-visionx/cambrian-s-models)**
**Authors**: [Shusheng Yang*](https://github.com/vealocia),... | 4,946 | 2,236 | normal |
JinyiHan/big-value-gsm | math | 0.9973 | none | 0.0016 | null | [] | [中文介绍]
**数据集介绍**：本数据集基于 GSM8K 数据集改编，训练数据集共包含约 4.5K 道数学题，测试数据集共包含784条。我们引入了大量超出常规范围的大整数，旨在测试大语言模型大数四则运算的能力，评估其在处理高精度运算时的稳定性和泛化能力
该数据集支持评估模型在以下方面的能力：
- 理解和解析包含大整数的自然语言问题；
- 执行高位数的加减乘除运算；
- 泛化到结构相似但数值范围显著扩展的问题
**数据集结构**
- `data/train.parquet`: 训练集，包含约4.5k行数据。
- `data/test.parquet`: 测试集，包含784行数据
**数据样本结构说明**
每个数据单元包含 ... | 2,677 | 15 | new_discovery |
Bor3dguy/Bb4 | none | 0.9073 | code | 0.0878 | 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",
"... | 4,849 | 6 | normal |
ittailup/gope | none | 0.9383 | code | 0.0309 | null | [] | # Dataset Card for "gope"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 158 | 23 | normal |
connections-dev/s500_e520_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw_intermediate | none | 0.9669 | code | 0.0169 | null | [] | 0 | 13 | normal | |
neelabh17/new_news_exploded_prompt_n_5_d_perc_20_num_gen_10_Qwen2.5-7B-Instruct_no_mcq | none | 0.9722 | code | 0.0189 | null | [] | 0 | 5 | normal | |
airesearch/generated_reviews_enth | none | 0.9924 | code | 0.0049 | null | [] | # Dataset Card for generated_reviews_enth
## 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... | 8,650 | 264 | normal |
Voxel51/PIDray | cybersecurity | 0.8901 | none | 0.062 | null | [
"fiftyone",
"image",
"object-detection"
] | # Dataset Card for pidray
PIDray is a large-scale dataset which covers various cases in real-world scenarios for prohibited item detection, especially for deliberately hidden items. The dataset contains 12 categories of prohibited items in 47, 677 X-ray images with high-quality annotated segmentation masks and boundin... | 3,527 | 4,254 | new_discovery |
AI-dataset-evaluation-team/Arxiv-Filtered | none | 0.8395 | chemistry | 0.0661 | null | [] | 
nonexclusive-distrib: This license gives limited rights to arXiv to distribute the article, and also limits re-use of any type from other entities or individuals.
by-nc-nd/4.0、by-nc-sa/3.0、by-nc-sa/4... | 354 | 5 | normal |
MilaWang/flare-fiqasa-dense-4-shots-sd4 | none | 0.8109 | code | 0.0721 | null | [] | 0 | 39 | normal | |
EvgeniaKyriazi/ctr-prediction-dataset | none | 0.7035 | climate | 0.0754 | null | [] | 0 | 9 | normal | |
SachinTelecmi/audio-data | none | 0.7042 | biology | 0.0712 | null | [] | 0 | 10 | normal | |
simonycl/Meta-Llama-3-8B-Instruct_ultrafeedback-annotate-start-0.5-end-0.75-judge-5-mtbench_cot_reason | code | 0.508 | none | 0.4713 | null | [] | 0 | 7 | boundary | |
argilla/OpenHermes-2.5-dpo | none | 0.4789 | code | 0.2084 | null | [] | 0 | 20 | normal | |
Voxel51/BIOSCAN-30k | biology | 0.9991 | none | 0.0005 | null | [
"fiftyone",
"image",
"image-classification"
] | # Dataset Card for BIOSCAN-30k
This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 30000 samples.
## Installation
If you haven't already, install FiftyOne:
```bash
pip install -U fiftyone
```
## Usage
```python
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load ... | 5,930 | 633 | new_discovery |
luo99999999/so101_dance | none | 0.9362 | code | 0.0587 | null | [
"so101",
"dancing"
] | 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",
"... | 2,947 | 16 | normal |
SayantanJoker/Shrutilipi_Hindi_resampled_44100_merged_10 | none | 0.4767 | code | 0.2624 | null | [] | 0 | 3 | normal | |
bay-calibration-llm-evaluators/mtbench-annotated-latest | none | 0.6366 | code | 0.3002 | null | [] | # MT-Bench-Select Dataset
## Introduction
The **MT-Bench-Select** dataset is a refined subset of the original **MT-Bench** dataset introduced by [Zheng et al. (2023)](https://arxiv.org/abs/2306.05685). The original MT-Bench dataset comprises **80 questions** with answers generated by six models. Each question and eac... | 4,300 | 7 | normal |
reasoning-proj/c_dfiltered_DeepSeek-R1-Distill-Qwen-1_5B_mbenign_rewrite_trace_t70 | code | 0.4742 | none | 0.3589 | null | [] | 0 | 3 | boundary | |
Asap7772/elix_gen_persona_teacherforced_eval_4shot_infsft1e5-part1-of-1 | none | 0.9616 | code | 0.0248 | null | [] | 0 | 4 | normal | |
finbarr/tulu-3-sft-personas-algebra-o3 | none | 0.6909 | code | 0.0719 | null | [] | 0 | 3 | normal | |
weqweasdas/new_8b_self_corr_sft | none | 0.653 | chemistry | 0.1803 | null | [] | 0 | 4 | normal | |
alihmaou/bdnb_2023-11.a_batiment_groupe_dpe_statistique_logement_69 | none | 0.8319 | climate | 0.0402 | null | [] | 0 | 4 | normal | |
teampolaris007/RPT_Omnimath_dataset_only_top_include_punct | none | 0.6275 | climate | 0.0889 | null | [] | 0 | 7 | normal | |
electricsheepafrica/screening-cervical-kenya | medical | 0.989 | none | 0.0086 | medical | [
"cancer",
"oncology",
"healthcare",
"sub-saharan-africa",
"kenya"
] | # Cervical Cancer Screening - Kenya
## Abstract
This synthetic dataset represents population-based cervical cancer screening coverage and is designed to address the significant data gap in cancer research for sub-Saharan Africa. The dataset contains 3,200-4,800 per scenario records per scenario with key epidemiologic... | 4,816 | 13 | normal |
TAUR-dev/D-EXP_ask_lm_if_is_correct__cd3arg__SIE-Countdown3arg-Distilled_QWQ-rl | code | 0.4365 | none | 0.4133 | null | [] | 0 | 6 | boundary | |
yanivmel1/rotem_recordings_split_2 | none | 0.8362 | code | 0.1066 | null | [] | This dataset was created using [🤗 LeRobot](https://github.com/huggingface/lerobot). | 83 | 4 | normal |
oulianov/my_dataset_6 | none | 0.9234 | code | 0.0518 | null | [
"phosphobot",
"so100",
"phospho-dk1"
] | # my_dataset_6
**This dataset was generated using a [phospho starter pack](https://robots.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 and RLDS. | 300 | 7 | normal |
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