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 |
|---|---|---|---|---|---|---|---|---|---|---|
cedricable/my-distiset-be899639 | none | 0.9827 | code | 0.0099 | 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-be899639
This dataset has been crea... | 1,838 | 8 | normal |
RobotisSW/ffw_bg2_rev4_task_2_1216_jungmin_2_edit | none | 0.8768 | code | 0.1158 | null | [
"robotis",
"ffw_bg2_rev4"
] | This dataset was created using [Physical AI Tools](https://github.com/ROBOTIS-GIT/physical_ai_tools) and [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
... | 4,749 | 22 | normal |
oumaymaMb/llama-2-7b-NER-v5 | none | 0.4875 | biology | 0.23 | null | [] | 0 | 4 | normal | |
lt-s/rsj2025_train_move_blue_block_tray_to_blue_dish_flip | none | 0.9406 | code | 0.055 | null | [
"so100",
"RSJ2025",
"train"
] | 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",
"... | 3,585 | 12 | normal |
allenai/dpo-base-100k-qwq-judge | none | 0.7617 | code | 0.1112 | null | [] | 0 | 11 | normal | |
randall-lab/beans | biology | 0.777 | none | 0.1363 | null | [] | # Dataset Card for Beans
<!-- Provide a quick summary of the dataset. -->
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
The Beans dataset contains 1,296 images of bean plant leaves, categorized into three classes:
- **Healthy**
- **Angular Leaf Spot (disease)... | 2,214 | 5 | normal |
iamnguyen/eval_model_rag | none | 0.4665 | chemistry | 0.1693 | null | [] | 0 | 4 | normal | |
alvinming/qwen_hf2000_20run_combined | none | 0.4646 | chemistry | 0.2209 | null | [] | 0 | 45 | normal | |
Aarif123/alpaca-style-dataset-upgraded-5 | none | 0.6402 | code | 0.0692 | null | [] | 0 | 3 | normal | |
dchasap/spec_cpu_branch_traces | none | 0.3192 | code | 0.2959 | null | [] | 0 | 140 | normal | |
EYEDOL/naija-voices-hausa-split_2-1 | none | 0.7341 | biology | 0.1433 | null | [] | 0 | 24 | normal | |
syun88/dual_scropion_test_open_case_CEATEC2 | none | 0.9401 | code | 0.0521 | 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",
"... | 3,040 | 7 | normal |
mimiminsoo/scanning_Nam | none | 0.919 | code | 0.0743 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=mimiminsoo/scanning_Nam">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.s... | 3,967 | 18 | normal |
MacKenzie779/mergedbynils | none | 0.9012 | code | 0.0938 | 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",
"... | 3,583 | 6 | normal |
reasoning-proj/exp_rob_dfiltered_logic_Phi-4-reasoning-plus_madversarial_insert_wrong_fact_t10 | none | 0.5688 | math | 0.2784 | null | [] | 0 | 26 | normal | |
LucasThil/nasa_turbofan_degradation_FD004 | none | 0.9405 | code | 0.0153 | null | [] | # CMAPSS Jet Engine Simulated Data FD004 - NASA
This dataset contains simulated data from the CMAPSS (Commercial Modular Aero-Propulsion System Simulation) Jet Engine by NASA, FD004.
Train trjectories: 248
Test trajectories: 249
Conditions: SIX
Fault Modes: TWO (HPC Degradation, Fan Degradation)
## Sensor Descriptio... | 2,771 | 20 | normal |
aphamm/mamba-muse-mini | none | 0.5953 | code | 0.1664 | null | [] | 0 | 4 | normal | |
FinanceMTEB/FNS | none | 0.2924 | chemistry | 0.1404 | null | [] | 0 | 43 | normal | |
DCAgent2/DCAgent2_bfcl-parity_laion_exp-syh-tezos-stackoverflow-mixed_glm_4_7_traces_jup76ba92ab | none | 0.7773 | chemistry | 0.0971 | null | [] | 0 | 20 | normal | |
lingvenvist/animacy-nl-nogroups-xtr-complete-filtered | none | 0.4732 | chemistry | 0.4047 | null | [] | Note that this is a processed version of XL-WSD v1 downloaded from https://sapienzanlp.github.io/xl-wsd/, made available with the XL-WSD license (see https://sapienzanlp.github.io/xl-wsd/docs/license). | 201 | 6 | normal |
prajwal200306/finetuning_demo | none | 0.406 | code | 0.1597 | null | [] | 0 | 4 | normal | |
104bit/turkish-recipe-dataset | none | 0.8326 | cybersecurity | 0.0472 | null | [
"turkish",
"recipes",
"food",
"nlp",
"text-generation",
"cooking",
"turkish-cuisine",
"structured-data",
"llm-processed"
] | # Yapılandırılmış Türk Yemek Tarifleri
**Structured Turkish Recipes Dataset**
Bu veri seti, [mertbozkurt/llama2-TR-recipe](https://huggingface.co/datasets/mertbozkurt/llama2-TR-recipe) veri setinden türetilmiş ve **Groq API** üzerinden **3 farklı LLM modeli** kullanılarak yapılandırılmış **3,320 benzersiz Türk yemek ... | 5,932 | 11 | normal |
zjhhhh/Qwen7b_fullcheck_perprompt_iter1_0 | none | 0.5423 | code | 0.1881 | null | [] | 0 | 4 | normal | |
kanishka/counterfactual-babylm-old_union_new_regex_aanns_removal | none | 0.6189 | legal | 0.1215 | null | [] | 0 | 5 | normal | |
Nexdata/200000_Sets_VLM_GUI_Agent_Data | none | 0.5556 | code | 0.2173 | null | [] | ## Description
This dataset contains 200,000 high-quality GUI interaction sequences (continuous frames) across mobile, tablet, and PC devices, covering scenarios such as desktop application operations, web browsing behaviors, and more. Each sequence includes detailed annotations of user actions, UI element states, task... | 1,041 | 8 | normal |
syvai/nst-ftspeech-common-kanade25hz | none | 0.9721 | cybersecurity | 0.0138 | null | [] | # NST + FTSpeech - Kanade 25Hz Tokenized
Danish speech dataset tokenized with [Kanade](https://huggingface.co/frothywater/kanade-25hz-clean) (25 tokens/sec, 12800 codebook).
## Sources
- **alexandrainst/nst-da**: 236738 samples (315.5h)
- **alexandrainst/ftspeech**: 944490 samples (1391.2h)
- **Total**: 1181228 sampl... | 856 | 10 | normal |
HINT-lab/Llama_3.1-8B-Instruct-Self-Calibration | none | 0.4232 | code | 0.4025 | null | [] | The official repository which contains the code and pre-trained models/datasets for our paper [Efficient Test-Time Scaling via Self-Calibration](https://arxiv.org/abs/2503.00031).
# 🔥 Updates
- [**2025-3-3**]: We released our [paper](https://arxiv.org/abs/2503.00031).
- [**2025-2-25**]: We released our codes, models ... | 8,803 | 112 | normal |
smksaha/apt-eval | none | 0.9081 | code | 0.0814 | null | [
"ai-text",
"text-detection",
"detector",
"polished-text",
"ai-generated"
] | <div align="center">
<h1>🚨 APT-Eval Dataset 🚨
Almost AI, Almost Human: The Challenge of Detecting AI-Polished Writing </h1>
📝 <a href="https://aclanthology.org/2025.findings-acl.1303.pdf"><b>Paper</b></a>, 🖥️ <a href="https://github.com/ShoumikSaha/ai-polished-text"><b>Github</b></a>, 🎥 <a href="https://underline... | 6,837 | 81 | normal |
cx-cmu/E-commerce | none | 0.7935 | cybersecurity | 0.1465 | null | [
"generative-search",
"geo",
"autogeo",
"e-commerce",
"llm",
"reinforcement-learning"
] | # E-commerce Dataset (AutoGEO)
This is a commercial-domain dataset released with **AutoGEO** for **Generative Engine Optimization (GEO)** research.
📄 **Paper:** ["What Generative Search Engines Like and How to Optimize Web Content Cooperatively"](https://arxiv.org/abs/2510.11438)
👥 **Authors:** Yujiang Wu*, Sha... | 1,279 | 151 | normal |
wmeister/prompt-injections | code | 0.4859 | none | 0.3975 | null | [] | # Dataset Card for "deberta-v3-base-injection-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 187 | 13 | boundary |
KHScientific/ballinbucketv2 | none | 0.8958 | code | 0.0982 | 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"... | 3,736 | 9 | normal |
zuhdifr/algorithm_selector_fjssp_4algo_literature_30s | none | 0.768 | code | 0.0724 | null | [] | 0 | 5 | normal | |
JasonYan777/PersonaSignal-LeakageCheck-Agency-Expectation-gpt-4o-mini | code | 0.3645 | none | 0.3115 | null | [] | 0 | 4 | boundary | |
Grievous-Robot/table-sweep-112ep-merged-fix-name | none | 0.9285 | code | 0.0676 | 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",
"... | 4,781 | 22 | normal |
OmarIDK/RAG_doc_wiki | none | 0.3839 | code | 0.1471 | null | [] | 0 | 4 | normal | |
123ad1/my_custom__processed | code | 0.3194 | none | 0.3034 | null | [
"vqasynth",
"remyx"
] | 0 | 3 | boundary | |
aired/Robert_Mugabe_5000_Questions_English | none | 0.553 | code | 0.1957 | null | [] | 0 | 5 | normal | |
xcx0902/Distill_Qwen | none | 0.3687 | climate | 0.1804 | null | [] | 0 | 17 | normal | |
tienaio2024/Vi-Alpaca-Preference | none | 0.437 | biology | 0.1297 | null | [] | 0 | 3 | normal | |
Asap7772/omnimath-full-hint-v6-deepscaler-respgen | none | 0.4027 | code | 0.2323 | null | [] | 0 | 11 | normal | |
supergoose/flan_combined_task1205_atomic_classification_isafter | none | 0.6655 | code | 0.1729 | null | [] | 0 | 4 | normal | |
chardizard/RubricARM-ChatbotArena | code | 0.3872 | none | 0.3724 | null | [] | 0 | 15 | boundary | |
thucdangvan020999/synthetic-asr-dataset2 | none | 0.4685 | chemistry | 0.3003 | null | [] | 0 | 3 | normal | |
alvinming/hle-search | none | 0.4826 | chemistry | 0.1746 | null | [] | 0 | 842 | normal | |
mmaaz60/tempcompass | none | 0.2956 | climate | 0.2561 | null | [] | # TempCompass: Do Video LLMs Really Understand Videos? | 54 | 25 | normal |
Lelon/NEG-split-cleaned-scope-zh | code | 0.3984 | none | 0.3255 | null | [] | 0 | 26 | boundary | |
DCAgent/DCAgent_dev_set_71_tasks_DCAgent_taskmaster2-2ep_20251110_165628 | none | 0.7343 | code | 0.1357 | null | [] | 0 | 8 | normal | |
timaeus/pythia-160m-pile-1m-ig-l2h6 | chemistry | 0.4232 | none | 0.3046 | null | [] | 0 | 4 | boundary | |
Trelis/sample-dataset-test-energy-pack | none | 0.9698 | finance | 0.0092 | null | [
"audio",
"speech",
"whisper",
"dataset"
] | # sample-dataset-test-energy-pack
Speech dataset prepared with Trelis Studio.
## Statistics
| Metric | Value |
|--------|-------|
| Source files | 6 |
| Train samples | 135 |
| Validation samples | 15 |
| Total duration | 62.6 minutes |
## Columns
| Column | Type | Description |
|--------|------|-------------|
| `... | 1,651 | 8 | normal |
TTKhosa/pubmed_QA_split-v2 | none | 0.594 | climate | 0.1402 | null | [] | 0 | 5 | normal | |
ShuaiYang03/Instructvla_realworld_math | math | 0.9409 | none | 0.0366 | null | [] | # Real-world Dataset Exmaple of InstructVLA
This dataset contains 250 training cases for the real-world ablation of InstructVLA.
## Results of InstructVLA
| Beyond Collection Range | Written-out Numbers | Matchstick Numbers ... | 4,373 | 213 | new_discovery |
vinhtran2611/OpenOrca_filtered | biology | 0.5355 | none | 0.1984 | null | [] | 0 | 4 | normal | |
open-llm-leaderboard-old/details_BarraHome__zephyr-dpo-v2 | none | 0.963 | code | 0.0207 | null | [] | # Dataset Card for Evaluation run of BarraHome/zephyr-dpo-v2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [BarraHome/zephyr-dpo-v2](https://huggingface.co/BarraHome/zephyr-dpo-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFa... | 19,256 | 17 | normal |
mlfoundations-dev/olympiads_filtered | none | 0.4021 | chemistry | 0.2122 | null | [] | 0 | 4 | normal | |
Joooorrit/twitter_dataset_1718654127 | none | 0.5772 | biology | 0.1086 | null | [] | 0 | 4 | normal | |
kldxbjz/wmdp | none | 0.3759 | chemistry | 0.143 | null | [] | 0 | 9 | normal | |
yunjae-won/mpg27_gemma9b_sft_dpo_beta1e-1_epoch3_40k_multisample_n2_mpg27_gemma9b_sft | none | 0.8961 | chemistry | 0.0364 | null | [] | 0 | 5 | normal | |
xbench/AgentIF-OneDay | code | 0.4421 | none | 0.4242 | null | [
"xbench",
"agent"
] | # Dataset Card for AgentIF-OneDay
<!-- Provide a quick summary of the dataset. -->
## Dataset Details
**AgentIF-OneDay** is a comprehensive benchmark designed to evaluate AI agents on diverse, daily tasks across work, life, and learning scenarios. Unlike evaluations focused solely on task difficulty, this dataset em... | 4,359 | 658 | boundary |
Dearcat/CPathPatchFeature | medical | 0.7978 | biology | 0.129 | medical | [
"medical",
"pathology"
] | # CPathPatchFeature: Pre-extracted WSI Features for Computational Pathology
Paper: [Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology](https://huggingface.co/papers/2506.02408)
Code: [https://github.com/DearCaat/E2E-WSI-ABMILX](https://github.com/DearCaat/E2E-WSI-ABMILX)
## Datase... | 4,619 | 4,116 | normal |
mlfoundations-dev/a1_math_open2math_0.3k_eval_636d | none | 0.7511 | math | 0.2309 | null | [] | # mlfoundations-dev/a1_math_open2math_0.3k_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|-------------|-... | 3,010 | 4 | normal |
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