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 |
|---|---|---|---|---|---|---|---|---|---|---|
hutaobo/pyxenium-gsm9116572 | biology | 0.9206 | none | 0.0605 | null | [] | # GSM9116572 Xenium Demo (for pyXenium)
Source: NCBI GEO Sample **GSM9116572** (Series **GSE303048**), originally distributed as
`GSM9116572_SSc_2_1_1_raw.tar.gz`. This repo repackages the Xenium `out/` subfolders
into single-file archives (`*.zarr.zip`) for fast remote loading.
> Attribution: Please cite the origina... | 1,228 | 5 | new_discovery |
AIR-Bench/qa_wiki_ja | none | 0.8684 | code | 0.0464 | null | [] | Available Versions:
- AIR-Bench_24.05
- Task / Domain / Language: qa / wiki / ja
- Available Datasets (Dataset Name: Splits):
- default: dev, test | 162 | 8 | normal |
Beetle-Data/BabyBabel-deu-50M | none | 0.6858 | biology | 0.1118 | null | [] | 0 | 17 | normal | |
ZacharyCB99/WAKESET | none | 0.8254 | chemistry | 0.0704 | null | [
"computational-fluid-dynamics",
"turbulence",
"rans",
"3d",
"underwater-vehicles"
] | # WAKESET: A Large-Scale, High-Reynolds Number Flow Dataset for Machine Learning of Turbulent Wake Dynamics
## What this is
WAKESET is a large-scale CFD dataset of turbulent wake flow fields around a generalized XLUUV geometry, spanning forward speed and turning angle parameterizations. It comprises 1,091 high-fidelit... | 2,457 | 1,962 | normal |
lbxa/eval_so101_gr00t_rubix_stack_v4_2025-10-28 | none | 0.9169 | code | 0.079 | 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",
"... | 3,587 | 19 | normal |
extralit-dev/test_import_dataset_from_hub_with_classlabel_729058b0-1399-46ad-9912-39519f808439 | none | 0.6956 | code | 0.1002 | null | [] | 0 | 4 | normal | |
billhdzhao/alpaca-Qwen2.5-7B-Instruct-31k | none | 0.7458 | medical | 0.1105 | 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 alpaca-Qwen2.5-7B-Instruct-31k
This dataset has... | 6,016 | 5 | normal |
songlab/ukb_finemapped_coding | none | 0.6124 | chemistry | 0.1506 | biology | [
"dna",
"variant-effect-prediction",
"biology",
"genomics"
] | # UKBB finemapped coding variants
[Predictions from all models](https://huggingface.co/datasets/songlab/ukb_finemapped_coding/tree/main/predictions) | 149 | 195 | tag_disagree |
Alignment-Lab-AI/fr-bench | chemistry | 0.37 | none | 0.2213 | null | [] | 0 | 76 | boundary | |
flickify/text_encoders | none | 0.7061 | code | 0.2078 | null | [
"vision"
] | # Model Card: CLIP
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found [here](https://github.com/openai/CLIP/blob/main/model-card.md).
## Model Details
The CLIP model was developed by researchers at OpenAI to learn about what contributes to robustness in computer visio... | 7,735 | 52 | normal |
Kukedlc/Personas_Spanish-40k | none | 0.8272 | legal | 0.1072 | null | [] | # Dataset de Personas en Español
## Descripción
Este dataset contiene descripciones detalladas de personas en español, diseñado específicamente para entrenamiento y generación de datos sintéticos, creación de agentes conversacionales y desarrollo de sistemas de procesamiento de lenguaje natural. Las descripciones incl... | 1,151 | 8 | normal |
carlfeynman/Bharat_NanoMSMARCO_mr | none | 0.9671 | code | 0.0231 | null | [
"text-retrieval"
] | # Bharat-NanoBEIR: Indian Language Information Retrieval Dataset
## Overview
This dataset is part of the Bharat-NanoBEIR collection, which provides information retrieval datasets for Indian languages. It is derived from the NanoBEIR project, which offers smaller versions of BEIR datasets containing 50 queries and up t... | 1,619 | 6 | normal |
rabhishek100/eval_act_so100_test_real2_2 | none | 0.9164 | code | 0.08 | null | [
"so100",
"tutorial",
"eval"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.0",
"... | 3,581 | 24 | normal |
math-extraction-comp/princeton-nlp__Llama-3-Base-8B-SFT-DPO | math | 0.7466 | none | 0.2117 | null | [] | 0 | 4 | normal | |
xenorobotics/augmented-setup-2 | none | 0.8987 | code | 0.0668 | null | [
"SO-100",
"robotics",
"towel-folding"
] | # Trimmed Towel Folding Dataset
This dataset contains towel folding demonstrations trimmed to the first fold.
## Dataset Details
- **Original Dataset**: [arsenxeno/augmented-setup](https://huggingface.co/datasets/arsenxeno/augmented-setup)
- **Task**: Towel folding (first fold only)
- **Episodes**: 1
- **Video Feeds... | 1,316 | 5 | normal |
hartular/grammar-labels-EXT-3FF-1per | none | 0.7156 | code | 0.0777 | null | [] | 0 | 3 | normal | |
OALL/details_MaziyarPanahi__calme-2.1-qwen2.5-72b | none | 0.9763 | code | 0.0193 | null | [] | # Dataset Card for Evaluation run of MaziyarPanahi/calme-2.1-qwen2.5-72b
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [MaziyarPanahi/calme-2.1-qwen2.5-72b](https://huggingface.co/MaziyarPanahi/calme-2.1-qwen2.5-72b).
The dataset is composed of 136 ... | 24,789 | 4 | normal |
Oguzz07/reddit-offmychest-dataset | none | 0.622 | code | 0.167 | null | [] | 0 | 8 | normal | |
genalyu/DeepSeek-V3.2_with_boxed | none | 0.621 | code | 0.1965 | null | [] | 0 | 8 | normal | |
fdogukan/mahabharata | none | 0.2886 | biology | 0.1588 | null | [] | 0 | 4 | normal | |
allan18/data_en_fr | none | 0.591 | chemistry | 0.1053 | null | [] | 0 | 3 | normal | |
Arri3/second_brain_course_summarization_task | none | 0.7158 | code | 0.0836 | null | [] | 0 | 4 | normal | |
GitBag/llama3-uf-dp-from1735956551-token-rf-1k3k | none | 0.5174 | code | 0.3379 | null | [] | 0 | 4 | normal | |
electricsheepafrica/parasitology-ntd-lab | biology | 0.7746 | none | 0.116 | null | [
"laboratory",
"parasitology",
"NTD",
"soil-transmitted-helminths",
"schistosomiasis",
"sub-saharan-africa"
] | # Parasitology & NTD Lab
## Abstract
Synthetic dataset modeling parasitology and NTD laboratory diagnostics across three SSA scenarios. Captures microscopy, Kato-Katz, POC-CCA, PCR availability, STH/schistosomiasis/filariasis prevalence, egg counts, MDA coverage, and treatment. Parameterized from WHO NTD data and SSA... | 1,205 | 37 | normal |
Orpailleur/record-test | none | 0.9309 | code | 0.062 | 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 | 5 | normal |
ducnguyen1/degh | none | 0.475 | code | 0.0821 | null | [] | 0 | 4 | normal | |
extralit-dev/test_import_dataset_from_hub_with_classlabel_2a8c09d8-1f85-4f1b-bb59-39d820d32eb7 | none | 0.7053 | code | 0.1125 | null | [] | 0 | 4 | normal | |
jdchang/distill-r1-qwen-1.5b-hmmt-feb-24-budget | none | 0.7919 | climate | 0.0728 | null | [] | 0 | 5 | normal | |
akuzdeuov/ruslan-tts | none | 0.3073 | biology | 0.2183 | null | [] | 0 | 53 | normal | |
JetBrains-Research/EnvBench-trajectories | code | 0.5218 | none | 0.4089 | null | [] | # 🌱⚙️ EnvBench: Trajectories
This repository contains trajectories for the runs on [EnvBench](https://huggingface.co/datasets/JetBrains-Research/EnvBench) benchmark presented in [**EnvBench: A Benchmark for Automated Environment Setup**](https://arxiv.org/abs/2503.14443). Refer to [our GitHub repository](https://gith... | 3,818 | 569 | boundary |
erdem-erdem/llama3.2-3b-it-24-game-qwq-sft-tpt-iter2-10k | none | 0.939 | code | 0.0584 | null | [] | # Dataset Card for "llama3.2-3b-it-24-game-qwq-sft-tpt-iter2-10k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 198 | 3 | normal |
vietnhat/lesego3 | none | 0.4053 | biology | 0.176 | null | [] | 0 | 4 | normal | |
FiscaAI/PHYSIO_KVG_01.00-D | chemistry | 0.4007 | climate | 0.2354 | null | [] | 0 | 4 | normal | |
Miyalinsky/mahjong | none | 0.9077 | code | 0.0833 | 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",
"... | 3,592 | 60 | normal |
Naveen934/tamil_data_kalki_Fiction | none | 0.9215 | biology | 0.0275 | null | [
"tamil",
"பொன்னியின் செல்வன்",
"கல்கி ரா. கிருஷ்ணமூர்த்தி"
] | # Tamil பொன்னியின் செல்வன் Dataset by கல்கி ரா. கிருஷ்ணமூர்த்தி
## Description
This dataset contains Tamil பொன்னியின் செல்வன் texts by கல்கி ரா. கிருஷ்ணமூர்த்தி, processed for language model pretraining.
## Contents
- 2290 text chunks
- Author: கல்கி ரா. கிருஷ்ணமூர்த்தி
- Genre: பொன்னியின் செல்வன்
- Total chunks: 229... | 440 | 24 | normal |
Ibukunoluwa123/NgHigherPhysics | none | 0.4341 | math | 0.3537 | null | [] | # Physics Questions Dataset
## Overview
This dataset contains a collection of physics questions designed for educational purposes. Each question is accompanied by multiple-choice options, the correct answer, and a detailed explanation. The questions cover a wide range of physics topics, including mechanics, waves, ele... | 1,063 | 5 | normal |
DCAgent2/DCAgent2_terminal_bench_2_DCAgent_r2egymGPT5CodexPassed-nl2bash-bugsseq_Qwen3-837f5f3a7 | code | 0.814 | none | 0.1237 | null | [] | 0 | 9 | new_discovery | |
katuna/as345 | none | 0.3886 | chemistry | 0.1426 | null | [] | 0 | 3 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_b2cbe216-5a8c-4c90-869c-df5a00145e2f | none | 0.6484 | code | 0.1559 | null | [] | 0 | 3 | normal | |
DynamicSuperb/MultiLingualSpeechRecognition_MLS-fr | none | 0.939 | cybersecurity | 0.0222 | null | [] | # Dataset Card for "MultiLingualSpeechRecognition_MLS-fr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 190 | 3 | normal |
ljvmiranda921/details_msde-allenai_Olmo-3-1025-7B-lora-4bit-msde-S1-de_aya-expanse-32b_respond | none | 0.9641 | biology | 0.0188 | null | [] | # Dataset Card for Evaluation run of ljvmiranda921/msde-sft-dev
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [ljvmiranda921/msde-sft-dev](https://huggingface.co/ljvmiranda921/msde-sft-dev).
The dataset is composed of 14 configuration, each one corr... | 6,807 | 15 | normal |
albertvillanova/test-delete-from-hub | none | 0.8993 | code | 0.055 | null | [] | # Dataset Card for test-delete-from-hub
## Dataset Description
My description. | 80 | 2 | normal |
AdleBens/example_dataset | none | 0.9375 | code | 0.0523 | null | [
"phosphobot",
"so100",
"phospho-dk1"
] | # example_dataset
**This dataset was generated using a [phospho dev kit](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. | 298 | 36 | normal |
ripanroy/replace-anything | none | 0.3299 | code | 0.2931 | null | [] | 0 | 6 | normal | |
Jessiecs/llama-2-7b-a3-openassistant-guanaco-backward | none | 0.9572 | code | 0.0197 | null | [] | 0 | 4 | normal | |
RoboCOIN/Airbot_MMK2_move_cake_tape_measure | none | 0.9502 | code | 0.0333 | null | [
"RoboCOIN"
] | # Airbot_MMK2_move_cake_tape_measure
## Dataset Description
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
## Task Preview
<video src="videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4" controls width="640"></video>
[View Video Directly](videos/chunk-... | 13,172 | 17 | normal |
DCAgent2/terminal_bench_2_GLM_4_6_stackexchange_overflow_sandboxes_32eps_65k_reasoning_n980765dc | code | 0.7502 | none | 0.1406 | null | [] | 0 | 12 | normal | |
HF-SSSVVVTTT/wcep_edus | biology | 0.366 | none | 0.258 | null | [] | 0 | 9 | boundary | |
Sampath1987/offshore_energy_v1 | none | 0.3056 | biology | 0.2628 | null | [] | 0 | 5 | normal | |
Tevatron/AgentIR-indexes | code | 0.6262 | none | 0.3491 | null | [
"agent"
] | This dataset hosts the [AgentIR-4B](https://huggingface.co/Tevatron/AgentIR-4B) indexes.
- **Paper:** [AgentIR: Reasoning-Aware Retrieval for Deep Research Agents](https://huggingface.co/papers/2603.04384)
- **Code:** [https://github.com/texttron/AgentIR](https://github.com/texttron/AgentIR)
- **Model:** [Tevatron/Age... | 3,493 | 25 | normal |
zjhhhh/7b_iter2_vec_rlcf_scores_39 | none | 0.5962 | chemistry | 0.1568 | null | [] | 0 | 5 | normal | |
dbaek/test_dataset | none | 0.4197 | climate | 0.202 | null | [] | 0 | 21 | normal | |
yzembodied/libero_90_image_task_62 | none | 0.882 | code | 0.1064 | 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",
"... | 3,335 | 3 | normal |
HipAAsynth/synthetic-minot-nd | medical | 0.976 | none | 0.021 | medical | [
"healthcare",
"EHR",
"deterministic",
"hipaasynth",
"north-dakota",
"minot",
"population-calibrated",
"census"
] | # Synthetic Minot, ND — Population-Calibrated Cohort
100-patient sample from a full 47,440-patient deterministic synthetic cohort calibrated to U.S. Census data for Minot, North Dakota.
## What This Is
A sample from HipAAsynth's population-calibrated synthetic cohort for Minot, ND. Demographics match Census Bureau Q... | 3,048 | 0 | normal |
TAUR-dev/O7B_ref___countdown_3arg__8000_end16000__reflection_chunk_14 | none | 0.7736 | code | 0.1055 | null | [] | 0 | 4 | normal | |
Anishanks/optical-network-data | chemistry | 0.7514 | none | 0.1999 | null | [] | # Optical Network Dataset
This dataset contains ITU-T and IEEE 802.3 standards, along with their embeddings. The dataset is organized as follows:
- **/documents/Standards/IEEE Standards/**: Contains IEEE standards.
- **/documents/Standards/ITU-T Recommendations/**: Contains ITU-T Recommendations.
- **/embedding... | 724 | 5 | normal |
Aletheia-Bench/Aletheia-Mixed-DPO | none | 0.6547 | biology | 0.1988 | null | [] | 0 | 4 | normal | |
TheFactoryX/edition_1492_lavita-medical-qa-shared-task-v1-toy-readymade | medical | 0.6222 | none | 0.357 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1492_lavita-medical-qa-shared-task-v1-toy-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[lavita/medical-qa-shared-task-v1-toy](https://huggingface.co/datasets/lavita/medical-qa-shared-task-v1-toy)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking every... | 990 | 8 | normal |
Turgayy54/tugi | none | 0.3881 | biology | 0.1397 | null | [] | 0 | 4 | normal | |
letran1110/imdb-ppo | none | 0.4592 | chemistry | 0.1069 | null | [] | 0 | 4 | normal | |
sykimhere/mayday_mice_dataset1 | none | 0.8278 | climate | 0.0412 | null | [] | 0 | 3 | normal | |
JiabinQ/eval_fork_ROTATE_3k | none | 0.9216 | code | 0.0733 | 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 | 4 | normal |
scipio22/record-test | none | 0.9347 | code | 0.0588 | 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"... | 3,075 | 5 | normal |
koredami/misato-electron-affinity | chemistry | 0.9932 | none | 0.0042 | null | [] | # MISATO Electron Affinity Dataset (Curated Subset)
This dataset is a curated subset of the [MISATO dataset](https://zenodo.org/record/7711953), focused on predicting **electron affinity** using quantum molecular descriptors.
It includes:
- `train.csv` and `test.csv` with quantum features for ligands
- Model training... | 1,639 | 4 | new_discovery |
Sadique5/arabic_quranic_asr | none | 0.8829 | medical | 0.0487 | null | [] | # Dataset details
This dataset contains quran recitations of every ayats or verses. Also contains 10k unique words from quran.
# Dataset Purpose
This dataset can be used to train ASR models that can be used for teaching beginners to recite quran. It can also be used for training TTS models that produces quran recitat... | 369 | 47 | normal |
mlfoundations-dev/b2_science_fasttext_pos_all | none | 0.4226 | chemistry | 0.3587 | null | [] | 0 | 5 | normal | |
Reih02/deception_obfuscation_sdft_v3_random_1000 | none | 0.5634 | cybersecurity | 0.1149 | null | [] | 0 | 20 | normal | |
svjack/Genshin_Impact_Birthday_Art_FramePack_Rotate_Named | none | 0.9177 | code | 0.0541 | null | [] | 
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b... | 362 | 2 | normal |
Lenkashell/safe_shocking_image_captions | none | 0.9807 | code | 0.0114 | null | [] | # Dataset Card for "safe_shocking_image_captions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 28 | normal |
OpenSpeechHub/Japanese-Anime-Speech | none | 0.7077 | code | 0.1328 | null | [] | 0 | 20 | normal | |
dvilasuero/limo-en-no-eval | none | 0.5437 | chemistry | 0.1033 | null | [] | 0 | 6 | normal | |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent_r2egymGPT5CodexPassed-nl22a5c7671 | none | 0.605 | code | 0.2799 | null | [] | 0 | 8 | normal | |
FiVA/FiVA | none | 0.9194 | code | 0.0516 | null | [] | # FiVA Dataset
[Project page](https://fiva-dataset.github.io/) | [Paper]()
### News
- [2024-12] We will be uploading version 2 during the first week of December (data/full_data_v2). This update incl... | 2,620 | 158 | normal |
muhammadravi251001/restructured-bucc | none | 0.7378 | code | 0.1682 | null | [] | I do not hold the copyright to this dataset; I merely restructured it to have the same structure as other datasets (that we are researching) to facilitate future coding and analysis. I refer to this [link](https://huggingface.co/datasets/mteb/bucc-bitext-mining) for the raw dataset. | 283 | 3 | normal |
llama-lang-adapt/Translated-MNLI | none | 0.8757 | code | 0.05 | null | [] | 0 | 3 | normal | |
werty1248/Bespoke-Stratos-17k-KoEnKo-formatted | biology | 0.5047 | none | 0.3791 | null | [] | 0 | 5 | boundary | |
vohuutridung/phogpt-sft-cpo-v3 | none | 0.4186 | chemistry | 0.0987 | null | [] | 0 | 5 | normal | |
yiwanghehe/NewsEyeDatasets | none | 0.9433 | cybersecurity | 0.0291 | null | [] | 引用自DGM4数据集，通过翻译API和difflib工具对fake_text_pos进行重新标注，得到本团队新闻之眼的数据集
DownloadLink:https://huggingface.co/datasets/yiwanghehe/NewsEyeDatasets
```
@inproceedings{shao2023dgm4,
title={Detecting and Grounding Multi-Modal Media Manipulation},
author={Shao, Rui and Wu, Tianxing and Liu, Ziwei},
booktitle={IEE... | 706 | 3 | normal |
kristiannordby/combined_atlatl_qna | climate | 0.6334 | none | 0.2189 | null | [] | 0 | 8 | normal | |
adamkarvonen/chess_sae_individual_games_filtered | none | 0.7751 | code | 0.0458 | null | [] | 0 | 6 | normal | |
mehuldamani/mini-story | none | 0.6383 | chemistry | 0.0729 | null | [] | 0 | 17 | normal | |
iwan-rg/wikiann_translated_fr | none | 0.6162 | biology | 0.0727 | null | [] | 0 | 3 | normal | |
3sara/validated_colpali_italian_documents_with_images | none | 0.68 | legal | 0.1352 | null | [] | 0 | 5 | normal | |
ryota39/self-rewarding_instruct_AIFT_M2_scored | code | 0.4236 | none | 0.3643 | null | [] | 0 | 8 | boundary | |
Thanantikan/alient_predator | none | 0.4737 | climate | 0.2111 | null | [] | 0 | 5 | normal | |
krishnakamath/movielens-32m-movies-enriched | none | 0.982 | code | 0.0118 | null | [] | # Enriched MovieLens 32M Dataset
## Dataset Description
This dataset is an enriched version of the popular [MovieLens 32M dataset](https://grouplens.org/datasets/movielens/). The original `movies.csv` file, which contains `movieId`, `title`, and `genres`, has been augmented with additional details for each movie. The... | 3,637 | 12 | normal |
ClarusC64/cascade-ai-adversarial-search-simulator-v0.1 | cybersecurity | 0.4801 | code | 0.2621 | null | [
"clarus",
"cascade-modeling",
"adversarial-search",
"ai-safety",
"structural-risk"
] | Clarus Adversarial Cascade Simulator (Demo)
Configuration → Risk → Adversarial Search → Redesign
This repository demonstrates automated structural red teaming using cascade geometry.
The demo shows how a system configuration can be:
• Scored for cascade probability
• Stress-searched for near-threshold instability
•... | 4,205 | 29 | normal |
supergoose/flan_combined_task930_dailydialog_classification | none | 0.8529 | climate | 0.0452 | null | [] | 0 | 4 | normal | |
open-llm-leaderboard-old/details_XuanXuanXuanXuan__Llama-2-7b-hf-llama2-raw-80k | none | 0.9167 | biology | 0.0529 | null | [] | # Dataset Card for Evaluation run of XuanXuanXuanXuan/Llama-2-7b-hf-llama2-raw-80k
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [XuanXuanXuanXuan/Llama-2-7b-hf-llama2-raw-80k](https://huggingface.co/XuanXuanXuanXuan/Llama-2-7b-hf-llama2-raw-80k) on ... | 19,349 | 6 | normal |
aallail/nyu_book_eval | none | 0.4336 | climate | 0.1371 | null | [] | 0 | 5 | normal | |
AutoComp/AutoComp-Paired-N3-C | none | 0.8266 | code | 0.0858 | null | [] | 0 | 7 | normal | |
Alljoined/5_95 | none | 0.4355 | climate | 0.1376 | null | [] | 0 | 19 | normal | |
Elianak/bimanual_state | none | 0.9805 | code | 0.0154 | 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",
"... | 4,779 | 6 | normal |
kantine/eval_smolvla_kapla | none | 0.9008 | code | 0.0929 | null | [
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 3,586 | 7 | normal |
sam-far/DolusChat_ambiguous_half | none | 0.7562 | code | 0.1022 | null | [] | 0 | 7 | normal | |
ubffm/academic_main_text_classifier_de_annotated | none | 0.7978 | biology | 0.0768 | null | [] | 0 | 5 | normal | |
Ihssane123/short_annotation_dataset | none | 0.9494 | code | 0.0314 | null | [
"rlfh",
"argilla",
"human-feedback"
] | # Dataset Card for short_annotation_dataset
This dataset has been created with [Argilla](https://github.com/argilla-io/argilla). As shown in the sections below, this dataset can be loaded into your Argilla server as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` librar... | 4,373 | 16 | normal |
TheFactoryX/edition_0098_open-thoughts-OpenThoughts-114k-readymade | none | 0.9892 | code | 0.0094 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0098_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 | 3 | normal |
afraamn/luffy_sft_rlvr | biology | 0.3207 | climate | 0.3084 | null | [] | 0 | 4 | boundary | |
lgy0404/LearnGUI | none | 0.7983 | code | 0.1842 | null | [] | # LearnGUI: A Unified Demonstration Benchmark for Mobile GUI Agents
<div align="center">
<img src="assets/teaser-final.drawio.png" alt="The LearnAct Framework and LearnGUI Benchmark focus on addressing the long-tail challenges in mobile GUI agent performance through demonstration-based learning." width="100%">
</div... | 6,266 | 1,920 | normal |
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