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 |
|---|---|---|---|---|---|---|---|---|---|---|
coastalcph/docci_training | none | 0.2723 | biology | 0.2179 | null | [] | 0 | 100 | normal | |
ecopus/sign_identification | none | 0.8532 | code | 0.1018 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset is designed for binary image classification of stop signs. It contains two splits: 'original' with 35 images and 'augmented' with 385 images. The augmented split was created by applying various image transformations to the or... | 7,774 | 11 | normal |
yuxuanw8/summarize_sft-test_lm-pythia1b-oai-summary-adv-step-20kn_42_250_64 | none | 0.8625 | code | 0.0507 | null | [] | 0 | 5 | normal | |
khoomeik/gzipscale-0.51-100M | none | 0.6253 | climate | 0.1281 | null | [] | 0 | 3 | normal | |
reasoning-proj/c_dfiltered_logic_DeepSeek-R1-Distill-Qwen-14B_madversarial_cont_wrong_reasoning_t90 | none | 0.5891 | code | 0.1746 | null | [] | 0 | 4 | normal | |
CGU-Widelab/Mistral_Trivia-QA_Dataset | none | 0.5689 | code | 0.235 | null | [
"question-answering",
"trivia",
"text",
"knowledge-based",
"QA"
] | # Mistral Trivia QA Dataset
The **Mistral Trivia QA Dataset** is a collection of trivia questions and answers designed to evaluate and train question-answering models. It covers a wide range of topics and is particularly useful for assessing a model's ability to handle **general knowledge and reasoning tasks**.
The ... | 3,782 | 13 | normal |
King213/dataset_formatted | none | 0.4779 | climate | 0.1374 | null | [] | 0 | 4 | normal | |
starvector/text2svg-stack | none | 0.7625 | code | 0.2104 | null | [] | <a href="" target="_blank">
<img alt="arXiv" src="https://img.shields.io/badge/arXiv-StarVector-red?logo=arxiv" height="20" />
</a>
<a href="https://starvector.github.io/" target="_blank">
<img alt="Website" src="https://img.shields.io/badge/🌎_Website-StarVector-blue.svg" height="20" />
</a>
<a href="https://g... | 1,740 | 132 | normal |
bot-pi/agibot-sim-open-drawer-and-store-items | none | 0.8922 | code | 0.1029 | 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",
"... | 5,684 | 39 | normal |
Asap7772/aime2025-hintgen-qwen3-4b-lr1e6_respgen | none | 0.8956 | code | 0.0573 | null | [] | 0 | 4 | normal | |
timaeus/pubmed_central_max_loss_delta_ablation_l0h2 | none | 0.689 | climate | 0.0853 | null | [] | 0 | 4 | normal | |
hyokwan/llama2_test | none | 0.4757 | climate | 0.1287 | null | [] | 0 | 6 | normal | |
minato-ryan/starrail-voice-xcodec2-example | none | 0.7475 | code | 0.0772 | null | [] | 0 | 5 | normal | |
Korea-MES/databricks-dolly-15k | none | 0.59 | climate | 0.1769 | null | [] | 0 | 4 | normal | |
kumarhans/new_test_1 | none | 0.8918 | code | 0.0985 | null | [
"so100",
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 2,933 | 12 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_e240929f-e013-4aca-9bac-088e2971a17b | none | 0.6373 | code | 0.17 | null | [] | 0 | 3 | normal | |
davidberenstein1957/image-generation-flux1-schnell | finance | 0.3842 | none | 0.3414 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [M... | 4,129 | 41 | boundary |
amphion/SD-Eval | none | 0.9577 | medical | 0.0197 | null | [
"spoken dialogue generation",
"croissant"
] | # SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words
[](https://arxiv.org/abs/2406.13340)
SD-Eval is a benchmark dataset aimed at multidimensional evaluation of spoken dialogue understanding and generation.
SD-Eval focuses on p... | 2,179 | 66 | normal |
asas-ai/DART | none | 0.4579 | biology | 0.1516 | null | [
"dialect-identification"
] | 0 | 10 | normal | |
zjhhhh/iter2_7b_multi_scores_base_8 | none | 0.8432 | code | 0.038 | null | [] | 0 | 4 | normal | |
mayur-waghchoure/eval_smolvla_v100k | none | 0.9458 | code | 0.0483 | 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",
"... | 3,726 | 12 | normal |
Salesforce/ConvoMem | none | 0.8817 | cybersecurity | 0.0602 | null | [
"conversational-ai",
"memory",
"multi-turn-dialogue",
"rag",
"long-context"
] | # Conversational Memory Benchmark
A comprehensive benchmark for evaluating conversational memory in large language models, featuring 75,336 question-answer pairs across six evidence categories. This benchmark addresses the critical challenge of memory management in conversational AI systems, where models must retain, ... | 9,688 | 763 | normal |
AIR-Bench/qrels-qa_wiki_fa-dev | none | 0.9206 | code | 0.0469 | null | [] | Available Versions:
- AIR-Bench_24.05
- Task / Domain / Language: qa / wiki / fa
- Available Datasets (Dataset Name: Splits):
- default: dev, test | 162 | 2 | normal |
harman/Ultrafeedback_Improved-Degraded-QRNeutrals_Full_Unfiltered_probA_LAST | none | 0.6754 | code | 0.1138 | null | [] | 0 | 4 | normal | |
obiwan96/obiwan96open_web_math_qav2_none_145000_170000 | none | 0.8796 | climate | 0.0299 | null | [] | 0 | 2 | normal | |
jan-hq/instruction-speech-text-v1.5-convo-male-voice | none | 0.9342 | code | 0.0277 | null | [] | 0 | 3 | normal | |
DCAgent2/Kimi-K2T-swesmith-32ep-131k-chunk011 | none | 0.7858 | code | 0.103 | null | [] | 0 | 10 | normal | |
oxe-auge/language_table_train_15000_20000_augmented | none | 0.952 | code | 0.0437 | null | [
"robotics",
"oxe-auge",
"dataset"
] | # language_table_train_15000_20000_augmented
## Overview
- **Codebase version**: `v3.0`
- **Robots**: google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e
- **FPS**: 10
- **Episodes**: 5,000
- **Frames**: 79,558
- **Splits**:
- `train`: `0:5000`
## Data Layout
```text
data_path : data/chunk-{chunk_... | 7,282 | 32 | normal |
tmpmodelsave/beta01_70btype1_llama3sft_self2_math_sftloss_900tmp10 | none | 0.6567 | chemistry | 0.0937 | null | [] | 0 | 3 | normal | |
ojaskhandelwal/plant-dataset | none | 0.3238 | biology | 0.2192 | null | [] | 0 | 7 | normal | |
IAlsace/europe | none | 0.7058 | chemistry | 0.073 | null | [] | > [!NOTE]
> Dataset origin: https://www.cercle-emile-storck.fr/europe.html
Note : il faut scrapper le site | 107 | 25 | normal |
DanqingZ/tic_tac_toe_4_raw_3 | none | 0.9106 | code | 0.0863 | null | [
"so100",
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 4,218 | 16 | normal |
Axion004/my-awesome-dataset | none | 0.9913 | legal | 0.0037 | null | [] | # Dataset Card for Demo
## Table of Contents
- [Table of Contents](#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)
... | 2,696 | 4 | normal |
AHS-uni/arxivqa-corpus | none | 0.4288 | chemistry | 0.1489 | null | [] | 0 | 11 | normal | |
OALL/details_migtissera__Tess-v2.5.2-Qwen2-72B | none | 0.9578 | code | 0.0336 | null | [] | # Dataset Card for Evaluation run of migtissera/Tess-v2.5.2-Qwen2-72B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [migtissera/Tess-v2.5.2-Qwen2-72B](https://huggingface.co/migtissera/Tess-v2.5.2-Qwen2-72B).
The dataset is composed of 136 configura... | 24,780 | 3 | normal |
daqh/email-Eu | none | 0.5971 | code | 0.31 | null | [
"hypergraph"
] | # email-Eu
[Zenodo](https://zenodo.org/records/10155823) | [Cornell](https://www.cs.cornell.edu/~arb/data/email-Eu/) | [Source Paper](https://arxiv.org/abs/1802.06916)
email-Eu is an undirected hypergraph built from anonymized email communication within a large European research institution, designed for higher-order... | 3,062 | 254 | normal |
StrangeSX/RawdataforAUNQA_TH | none | 0.4323 | climate | 0.1694 | null | [] | 0 | 9 | normal | |
iJuanB/ph-prueba-3 | none | 0.4475 | biology | 0.2092 | null | [] | 0 | 5 | normal | |
pkj1702/btcusdt-1h-rand-date | none | 0.3646 | finance | 0.1638 | null | [] | 0 | 4 | normal | |
syarief-mulyadi/asr-jv-pbl-costum | none | 0.4392 | legal | 0.2647 | null | [] | # 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 | normal |
tiendung6b/ocr2-filtered | biology | 0.3136 | chemistry | 0.2466 | null | [] | 0 | 18 | boundary | |
shibing624/DPO-En-Zh-20k-Preference | none | 0.9413 | code | 0.0477 | null | [
"dpo",
"orpo",
"rlhf"
] | This dataset is composed by
- 4,000 examples of [argilla/distilabel-capybara-dpo-7k-binarized](https://huggingface.co/datasets/argilla/distilabel-capybara-dpo-7k-binarized) with chosen score>=4.
- 3,000 examples of [argilla/distilabel-intel-orca-dpo-pairs](https://huggingface.co/datasets/argilla/distilabel-intel-orca-... | 1,317 | 161 | normal |
Slim205/lean_workbook_RL_full_v1 | none | 0.5381 | code | 0.1266 | null | [] | 0 | 4 | normal | |
1g0rrr/sam_openpi_solder1_backup | none | 0.8887 | code | 0.1073 | null | [
"openpi",
"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",
"... | 3,652 | 4 | normal |
supergoose/flan_combined_task503_scruples_anecdotes_isanswerable | none | 0.7683 | code | 0.1146 | null | [] | 0 | 5 | normal | |
Tonic/trackio-experiments | none | 0.9193 | code | 0.065 | null | [
"track tonic",
"tonic",
"experiment tracking",
"smollm3",
"fine-tuning",
"legml",
"hermes"
] | # Trackio Experiments Dataset
This dataset stores experiment tracking data for ML training runs, particularly focused on SmolLM3 fine-tuning experiments with comprehensive metrics tracking.
## Dataset Structure
The dataset contains the following columns:
- **experiment_id**: Unique identifier for each experiment
- ... | 4,282 | 111 | normal |
mlfoundations-dev/seed_code_multiple_samples_all_scale_up_2K | none | 0.5884 | code | 0.2319 | null | [] | 0 | 4 | normal | |
TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours-gsm8k__v1 | none | 0.8765 | biology | 0.0395 | null | [] | # Experiment Tracker: FinEval_16k_fulleval_3args_ours-gsm8k
**Experiment Description:** Evaluation experiment for task gsm8k from FinEval_16k_fulleval_3args_ours
**Start Time:** 2025-10-26T12:38:38.135005
**Tracker Dataset:** [TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours-gsm8k__v1](https://huggingface.co/d... | 2,871 | 6 | normal |
davanstrien/fineweb-with-reasoning-scores-and-topics | none | 0.9181 | code | 0.0725 | null | [] | A sample of 10k rows from [HuggingFaceFW/fineweb-edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu) annotated with topics and "reasoning scores".
The topics come from [WebOrganizer/TopicClassifier](https://huggingface.co/WebOrganizer/TopicClassifier)
The reasoning scores come from [davanstrien/ModernBER... | 419 | 24 | normal |
UW-Madison-Lee-Lab/MMLU-Pro-CoT-Eval | math | 0.6892 | none | 0.2029 | null | [] | ## Dataset Details
- **Modality:** Text
- **Format:** CSV
- **Size:** 100K - 1M rows
- **Total Rows:** 248,836
- **License:** MIT
- **Libraries Supported:** `datasets`, `pandas`, `croissant`
## Structure
Each row in the dataset includes:
- **`question`**: The query posed in the dataset.
- **`answer`**: The correct res... | 914 | 54 | normal |
Samll/wild_hallucinations_with_responses | none | 0.7111 | biology | 0.1095 | null | [] | 0 | 10 | normal | |
phyworldbench/phyworldbench | none | 0.422 | chemistry | 0.3583 | null | [
"physics"
] | # PhyWorldBench
This repository hosts the core assets of **PhyWorldBench**, the 1,050 JSON prompt files, the evaluation standards, and the physics categories and subcategories, used to assess physical realism in text-to-video models.
We have also attached over 10k of the generated videos that we used for experimentat... | 421 | 35 | normal |
AbderrahmanSkiredj1/ahadith_translation_34k | none | 0.4751 | legal | 0.1364 | null | [] | 0 | 2 | normal | |
mogoi/re_03_345 | none | 0.411 | chemistry | 0.1515 | null | [] | 0 | 4 | normal | |
roshan-george/EE5108_Group1_Breandan_Gillanders_7 | none | 0.9019 | 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",
"... | 3,580 | 0 | normal |
cchoi1/gpt-4o-mini_bigcodebench_complete_unsolved_bugs | code | 0.4977 | none | 0.3491 | null | [] | 0 | 5 | boundary | |
todosi/asdf | none | 0.3558 | chemistry | 0.1375 | null | [] | 0 | 19 | normal | |
peterzongCN/my-distiset-9bbfbd5e | cybersecurity | 0.9775 | none | 0.0135 | 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-9bbfbd5e
This dataset has been crea... | 6,347 | 3 | new_discovery |
GitBag/llama3-ultrafeedback-armo-1024-20k-iter_2 | none | 0.6302 | code | 0.2178 | null | [] | 0 | 3 | normal | |
PsyMatrix/cls_amazonreviewspolarity2013_ReviewsummaryReviewtextVsReviewscore__BaseAmazoninstantvideo | none | 0.4802 | finance | 0.234 | null | [] | # 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 | normal |
monshinawatra/eval_so101-put-sachet-act | none | 0.9013 | code | 0.0929 | 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",
"... | 2,862 | 16 | normal |
chuotchuilacduong/deepstock-dataset-raw | none | 0.4726 | cybersecurity | 0.1029 | null | [] | 0 | 3 | normal | |
myfi/parser_dataset_ner_v1.15 | none | 0.6143 | code | 0.1497 | null | [] | 0 | 5 | normal | |
zxbsmk/NSFW-T2I | none | 0.8715 | code | 0.1097 | null | [] | # Introduction (Version 1)
About **38k** image-text pairs(10k from [LAION](https://huggingface.co/datasets/zxbsmk/laion_text_debiased_60M) and 28k from [nsfw_detect](https://huggingface.co/datasets/deepghs/nsfw_detect)), and captions are generated by [LLaVA-NeXT](https://github.com/LLaVA-VL/LLaVA-NeXT/) with prompt "D... | 1,686 | 41 | normal |
DCAgent/DCAgent_dev_set_71_tasks_DCAgent_staqc-sandboxes-traces-terminus-2_Qwen3-8B-Basec1a3f56a | none | 0.8248 | code | 0.1496 | null | [] | 0 | 9 | normal | |
Izazk/izaz-mind2web-dataset | finance | 0.4143 | none | 0.3261 | null | [
"code",
"biology",
"webdataset",
"climate",
"finance",
"legal"
] | # 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 | 30 | boundary |
saillab/alpaca_corsican_taco | none | 0.8676 | code | 0.0835 | null | [] | This repository contains the dataset used for the TaCo paper.
The dataset follows the style outlined in the TaCo paper, as follows:
```
{
"instruction": "instruction in xx",
"input": "input in xx",
"output": "Instruction in English: instruction in en ,
Response in English: response in en ,
R... | 1,360 | 4 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_e1e0ca0a-19dc-44ba-a456-43115db06c9b | none | 0.6737 | code | 0.1535 | null | [] | 0 | 3 | normal | |
jihuny/llama_shp_10k_sky_dpo_dpogopt_g10 | none | 0.7112 | climate | 0.1091 | null | [] | 0 | 15 | normal | |
RoyArkh/27-11-MobileLLM-125Mag_news-mia_ag_news_client4 | none | 0.7405 | code | 0.0863 | null | [] | 0 | 5 | normal | |
ssktora/train1000-jqara-for-tevatron-5-train-v7 | none | 0.6728 | code | 0.1788 | null | [] | 0 | 4 | normal | |
stefanocarrera/autophagycode_D_train_Qwen3-0.6B_lr0.0001_c142_correct_g4 | none | 0.6293 | code | 0.1427 | null | [] | 0 | 7 | normal | |
mlfoundations-dev/f1_avg_domain_1k | none | 0.4708 | climate | 0.1796 | null | [] | 0 | 5 | normal | |
Xiaodong/LiViBench | none | 0.9923 | code | 0.0036 | null | [] | # Introduction
This repository contains benchmark data used in the paper [LiViBench: An Omnimodal Benchmark for Interactive Livestream Video Understanding](https://arxiv.org/abs/2601.15016v1).
```bibtex
@article{wang2026livibench,
title={LiViBench: An Omnimodal Benchmark for Interactive Livestream Video Understandi... | 510 | 10 | normal |
ohjoonhee/VRTBench | none | 0.2337 | climate | 0.1671 | null | [] | 0 | 8 | normal | |
wangherr/coco2017_train_image_caption | none | 0.7997 | biology | 0.0682 | null | [] | https://github.com/wangherr/coco2017_for_huggingface | 52 | 7 | normal |
Mohsen21/FEMALE_SHAMMA | climate | 0.3994 | none | 0.1845 | null | [] | 0 | 3 | normal | |
math-extraction-comp/microsoft__DialoGPT-medium | math | 0.7265 | none | 0.1637 | null | [] | 0 | 6 | normal | |
iioos/multimodal-caption-pairs | none | 0.9437 | biology | 0.018 | null | [] | # Multimodal Caption Pairs Dataset
Image–caption pairs for multimodal and vision–language model research. | 106 | 5 | normal |
hlakhal/synthetic | none | 0.9496 | code | 0.0245 | null | [] | # Dataset Card for "synthetic"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 163 | 8 | normal |
MikeGreen2710/hn_dec_incremental | none | 0.5093 | climate | 0.1957 | null | [] | 0 | 4 | normal | |
ankile/nutsquare-auto-dagger-flat-v2-softmax32t1-r28 | none | 0.962 | code | 0.0285 | 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",
"... | 5,670 | 13 | normal |
kochamii312/so101_clothfold_dress | none | 0.9393 | code | 0.0546 | 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",
"... | 2,945 | 19 | normal |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent2_codeforces-GLM-4_6-trace97d27887 | none | 0.6495 | chemistry | 0.1448 | null | [] | 0 | 8 | normal | |
JieLiu2518/MolX | chemistry | 0.7165 | biology | 0.2726 | null | [] | The training/finetuning datasets and saved checkpoints for protein-ligand foundation model MolX. | 96 | 16 | normal |
sjyuxyz/CCPO_Medical-Reasoning | none | 0.3467 | medical | 0.3334 | null | [] | 0 | 159 | normal | |
quincyu/trace_v1 | none | 0.8691 | code | 0.1205 | 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",
"... | 2,812 | 234 | normal |
anonymous4486/Qwen2-Audio-7B-Instruct_noise2_10_0.5_advwave_2000 | none | 0.7924 | code | 0.0912 | null | [] | 0 | 5 | normal | |
aisi-whitebox/sec_qa_v2_finetuned_sandbagging_mo_v1_prefix_only_no_flash_finetuned_sandbagging_merged | none | 0.8032 | cybersecurity | 0.1676 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: sec_qa_v2_finetuned_sandbagging_mo_v1_prefix_only_no_flash_finetuned_sandbagging_merged
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-08.
### Model Information
- **Model**: `vllm/models/Llama-3.1-8B-Instruct... | 1,526 | 6 | normal |
dgambettaphd/D_llm3_gen1_run0_W_doc1000_synt64_tot128_MPP | none | 0.7412 | code | 0.1486 | null | [] | 0 | 4 | normal | |
allenz-srp/rembg_demo | none | 0.5232 | chemistry | 0.1161 | null | [] | 0 | 3 | normal | |
lyl472324464/insert_large_gear_shaft | none | 0.9682 | code | 0.0259 | 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",
"... | 7,257 | 92 | normal |
imstevenpmwork/lekiwi | none | 0.9367 | code | 0.0519 | 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",
"... | 3,253 | 9 | normal |
mlfoundations-dev/c1_math_0d_1s_10k | chemistry | 0.3845 | math | 0.298 | null | [] | 0 | 5 | boundary | |
tranthanhnguyenai1/NvdiaCode_7 | none | 0.568 | code | 0.1441 | null | [] | 0 | 7 | normal | |
supergoose/buzz_sources_358_pov-ray-sdl | none | 0.6949 | chemistry | 0.104 | null | [] | 0 | 112 | normal | |
JoelMba/Donnees_internes_formations_48 | none | 0.7031 | biology | 0.2554 | null | [] | # Dataset Card for "Donnees_internes_formations_48"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 184 | 4 | normal |
chowalex/scotus_opinions | legal | 0.5205 | none | 0.405 | null | [] | # SCOTUS Opinions
Collection of embeddings of SCOTUS opinions from argument years 1991 to 2024 (as of Jan 2025). Source material is available from the [official SCOTUS web site](https://www.supremecourt.gov/opinions/USReports.aspx).
Data is generated using `text-embedding-ada-002`, with a chunk size of 2560 tokens and... | 554 | 3 | boundary |
Leon299/GS | none | 0.2488 | biology | 0.2454 | null | [] | 0 | 3 | normal | |
ProCreations/black-hole-sim-randomized | none | 0.733 | climate | 0.1495 | null | [] | # 🕳️ Black Hole Sim — Randomized Dataset (ProCreations)
**ProCreations/black-hole-sim-randomized** is a high-fidelity, randomized simulation dataset of relativistic physics near Kerr and Schwarzschild black holes. Designed to train and evaluate AI systems on **general relativity**, **orbital mechanics**, and **spacet... | 2,119 | 9 | normal |
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