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 |
|---|---|---|---|---|---|---|---|---|---|---|
MartialTerran/ICELAND-URBAN_PhotosJuly2024 | none | 0.8073 | biology | 0.0582 | null | [] | Some photos privately taken during trip to Iceland in July 2024. See each photo EXIF metadata for time/date info (not checked).
Generally, the photos include no known or recognisable people.
---
license: apache-2.0
--- | 221 | 9 | normal |
obiwan96/obiwan96open_web_math_qav2_none_400000_449461 | none | 0.8607 | code | 0.0337 | null | [] | 0 | 3 | normal | |
rahul77/LaTeX17 | none | 0.3769 | chemistry | 0.1627 | null | [] | 0 | 5 | normal | |
bitmind/Deepfake-leonardo-stablecog | none | 0.4618 | code | 0.1626 | null | [] | 0 | 90 | normal | |
theblackcat102/evol-codealpaca-v1 | code | 0.991 | none | 0.0083 | code | [
"code"
] | ## Evolved codealpaca
Updates:
* 2023/08/26 - Filtered results now only contain pure english instruction and removed any mentioned of trained by OAI response
Median sequence length : 471
We employed a methodology similar to that of [WizardCoder](https://huggingface.co/WizardLM/WizardCoder-15B-V1.0), with the except... | 2,524 | 3,677 | normal |
TheReverand/pi-camera-test-final | none | 0.933 | code | 0.056 | 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",
"... | 3,154 | 10 | normal |
NyanDoggo/codewars_dataset | code | 0.9084 | none | 0.0727 | null | [] | This dataset contains Python solutions to codewars problems. It is scraped from the most-voted "best practice" by users in the solution tabs | 140 | 12 | new_discovery |
Nayan10767/llm-inference-energy-consumption | none | 0.9153 | math | 0.0377 | null | [] | # LLM Inference Energy Consumption Dataset
## Overview
Welcome to the LM Inference Energy Consumption dataset repository. This dataset provides detailed energy consumption profiles for various large language models (LLMs) across diverse hardware setups. It aims to support research on energy efficiency and sustainabil... | 4,395 | 23 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_5614bd14-9d43-41ea-807c-360807a33966 | none | 0.6177 | code | 0.1657 | null | [] | 0 | 4 | normal | |
eyad-silx/Base-logits | none | 0.8177 | code | 0.1725 | null | [] | # Teacher Logits for Distillation
These are pre-computed teacher logits from Qwen/Qwen3-1.7B-Base for the eyad-silx/Distillation-SI-Copilot dataset.
## Generation Parameters
- Teacher model: Qwen/Qwen3-1.7B-Base
- Dataset: eyad-silx/Distillation-SI-Copilot
- Top-k: 400
- Batch size: 8
- Max length: 512
- Column name... | 362 | 18 | normal |
windcrossroad/AnimalQA-GPT4o | none | 0.7567 | biology | 0.2206 | null | [] | # Dataset Card for "AnimalQA-GPT4o"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 168 | 5 | normal |
sonthenguyen/amc12-2025-non-figure | math | 0.9433 | none | 0.0239 | null | [] | # AMC 12 2025 (non-figure questions)
This dataset is a curated collection of **AMC 12 2025 A/B problems that do not include figures**, prepared for use in an academic study and released to support reproducibility.
---
## Dataset Description
Each row corresponds to one AMC 12 problem and includes the following field... | 2,144 | 40 | new_discovery |
HungVu2003/opt-350m_beta_0.5_alpha_0.0_num-company_2_dataset_0_for_gen_13 | none | 0.8937 | biology | 0.0451 | null | [] | 0 | 4 | normal | |
haotang/full-nla-aa-step9501-eps10 | none | 0.5724 | climate | 0.1165 | null | [] | 0 | 17 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_247e876b-0752-486e-8a9b-7c5c16e3670f | none | 0.7066 | code | 0.1116 | null | [] | 0 | 4 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_2abd8e44-1ea3-4ec1-9423-3c08c19d291d | none | 0.5714 | code | 0.213 | null | [] | 0 | 3 | normal | |
french-open-data/consommation-et-thermosensibilite-d-electricite-annuelles-a-la-maille-commune-de-2011-a-2024 | cybersecurity | 0.958 | none | 0.0405 | null | [
"agriculture",
"article-179",
"commune",
"consommation",
"consommation-electrique",
"donnees-locales-de-lenergie",
"gradient",
"industrie",
"naf",
"residentiel",
"secteur-dactivite",
"temperature",
"tertiaire",
"thermosensibilite",
"thermosensible",
"usages",
"usages-non-thermosensib... | # Consommation et thermosensibilité d'électricité annuelles à la maille commune (de 2011 à 2024)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Consommation et thermosensibilité d'électricité annuelles à la maille commune (de 2011 à 2024)** qui est disp... | 1,905 | 11 | new_discovery |
manasdhir04/telugu_fleurs | none | 0.5012 | biology | 0.2046 | null | [] | 0 | 19 | normal | |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent2_swesmith-stack-over5050_20251208_062437 | none | 0.856 | code | 0.0595 | null | [] | 0 | 10 | normal | |
electricsheepafrica/nigerian_agriculture_dairy_poultry_production | climate | 0.6765 | biology | 0.2751 | null | [
"nigeria",
"agriculture",
"food-systems",
"livestock-and-fisheries"
] | # Nigeria Agriculture – Dairy & Poultry Production
## Dataset Description
Milk yield, egg production, feed consumption by farm.
**Category**: Livestock & Fisheries
**Rows**: 110,000
**Format**: CSV, Parquet
**License**: MIT
**Synthetic**: Yes (generated using reference data from FAO, NBS, NiMet, FMARD)
## D... | 4,243 | 15 | normal |
talzoomanzoo/entropy_highest_uid_shannon_sft_ds-1.5b | none | 0.7474 | code | 0.1162 | null | [] | 0 | 5 | normal | |
kowndinya23/flan2022-zeroshot-instr-inpt-outp-50000-16-tasks | none | 0.619 | code | 0.2277 | null | [] | 0 | 4 | normal | |
PhillyMac/FDR_Corpus | none | 0.732 | code | 0.2139 | null | [
"corpus",
"leadership",
"historical",
"deku-corpus-builder"
] | # FDR Agent Corpus
This corpus was automatically generated by the **Deku Corpus Builder** for use in RAG-based AI applications.
## Dataset Description
- **Subject**: FDR
- **Subject Type**: personality
- **Total Items**: 1,949
- **Has Embeddings**: Yes (all-MiniLM-L6-v2)
- **Created**: 2026-03-02
## Dataset Structu... | 1,517 | 12 | normal |
gokulsrinivasagan/audio_pretrain_tokenized_w2v2_2 | none | 0.6994 | chemistry | 0.0795 | null | [] | 0 | 3 | normal | |
Karthikeyan990/day-7-result_Editted | none | 0.6108 | climate | 0.0961 | null | [] | 0 | 10 | normal | |
DCAgent2/dcagent-dev-set-71-tasks-mlfoundations-dev-inferredbugs-sandboxes-traces-termi-56134447 | none | 0.5571 | code | 0.3835 | null | [] | 0 | 9 | normal | |
test-gen/mbpp_qwen-3b-easy_t0.0_n1_generated_tests | code | 0.5809 | none | 0.281 | null | [] | 0 | 4 | normal | |
hamishivi/meta_math_qa | math | 0.3362 | none | 0.3205 | null | [] | 0 | 3 | boundary | |
NikhilRajSoni/COMI-LINGUA | none | 0.8157 | finance | 0.1048 | null | [
"code-mixing",
"Hinglish",
"expert-annotated"
] | ## Dataset Details
**COMI-LINGUA** (**CO**de-**MI**xing and **LING**uistic Insights on Natural Hinglish **U**sage and **A**nnotation) is a high-quality Hindi-English code-mixed dataset, manually annotated by three annotators. It serves as a benchmark for multilingual NLP models by covering multiple foundational tasks.... | 4,682 | 20 | normal |
extralit-dev/test_import_dataset_from_hub_with_classlabel_c05b80f6-e4ce-4938-acb0-114323a51ac0 | none | 0.7249 | climate | 0.0701 | null | [] | 0 | 4 | normal | |
ispaik06/Panbot_task2_dataset_3 | none | 0.9127 | code | 0.084 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [ispaik06.github.io](https://ispaik06.github.io)
- **YouTube:** [https://youtu.be/SyGJ2h8aM98](https://youtu.be/SyGJ2h8aM98)]
- **License:** apache-2.0
---
## Collaborators
- **Owner / Main de... | 5,071 | 466 | normal |
DCAgent2/dcagent-dev-set-71-tasks-dcagent-taskmaster2-10k-traces-20251112-134650 | none | 0.5467 | code | 0.4172 | null | [] | 0 | 9 | normal | |
akaUNik/homm3_spell_icons | none | 0.8916 | math | 0.0422 | null | [] | # HOMM3 Spell Icons Dataset
This dataset contains **spell icons** from the game *Heroes of Might and Magic III* (HOMM3) along with their corresponding captions. The dataset is designed for training image-captioning models, particularly for Stable Diffusion or other generative AI models.
---
## Dataset Details
### *... | 542 | 8 | normal |
arthur801031/voxact-b | none | 0.8734 | code | 0.0712 | null | [
"robotics",
"robotic-manipulation",
"bimanual-manipulation",
"vision-language-model",
"conference-on-robot-learning",
"corl2024"
] | # VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation (CoRL 2024)
Datasets for [VoxAct-B](https://github.com/VoxAct-B/voxactb).
[[Project website](https://voxact-b.github.io/)] [[Paper](https://arxiv.org/abs/2407.04152)]
**Authors**: [I-Chun Arthur Liu](https://arthurliu.com/), [Sicheng He]... | 1,468 | 11 | normal |
Nikhil20Sharma/LibriTTS-sample | none | 0.395 | chemistry | 0.1567 | null | [] | 0 | 188 | normal | |
pxmxcsu9d/alpaca_traindump | none | 0.4565 | climate | 0.131 | null | [] | 0 | 36 | normal | |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_r2egymGPT5CodexPassed-nl2bash-bugsseq_Qwen3-8B512e34a5 | code | 0.5956 | none | 0.3051 | null | [] | 0 | 7 | normal | |
TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_STaR-SFT-countdown_3arg-eval_sft | none | 0.5593 | code | 0.4041 | null | [] | 0 | 3 | normal | |
hongji-s/as04-pairrm | none | 0.3326 | chemistry | 0.1817 | null | [] | 0 | 3 | normal | |
yurunyyr/agentic-sokoban-NoStateTrans-qwen2.5-3B_SFT-5e-6-6k_prm0_actor-eval_results_state_model | none | 0.8035 | code | 0.0859 | null | [] | 0 | 10 | normal | |
aadarshram/metaworld_mt10 | none | 0.8905 | code | 0.0945 | null | [
"metaworld",
"robotics",
"mt10",
"multi-task"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
NOTE:
- All expert trajectories (100% success rate)
- 50 total episodes
- Camera view: 3rd-person Corner2 only out of ["corner", "corner2", "corner3", "topview", "behindGripper"]
- Generator script can be found he... | 3,092 | 92 | normal |
DrishtiSharma/openspaces-depthqa-25-samples | none | 0.7308 | code | 0.0918 | null | [] | 0 | 8 | normal | |
adamascj/so_arm_10 | none | 0.9047 | code | 0.0904 | 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"... | 3,724 | 18 | normal |
zjhhhh/Llama-3.2-3B-Instruct-UF-REBEL_multi_armo_renamed_tokenized_multi_preference_logprob | none | 0.6758 | code | 0.201 | null | [] | 0 | 5 | normal | |
willx0909/iv_bag | none | 0.921 | code | 0.0667 | null | [
"libero",
"easo",
"rlds"
] | 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",
"... | 2,484 | 41 | normal |
alvinming/non-contextual-counterexamples | none | 0.7236 | chemistry | 0.07 | null | [] | 0 | 37 | normal | |
Fdddhhhill/manufacturing_kpi_report.csv | cybersecurity | 0.6245 | none | 0.3504 | null | [] | # Enterprise Industrial & Logistics AI Training Dataset
## Overview
This repository contains a structured collection of enterprise-grade datasets designed for Artificial Intelligence (AI), Machine Learning (ML), and Advanced Analytics applications within Industrial Operations and Global Logistics environments.
The d... | 3,522 | 10 | normal |
Standout/open-cortex-fx-v3 | none | 0.7853 | code | 0.1726 | null | [
"manual-labor",
"human-work",
"video-dataset",
"action-classification",
"physical-work"
] | # Open Cortex FX v3
A curated dataset of videos depicting human manual labor and physical work, organized by task categories.
## Dataset Description
Standout's Cortex FX v3 is a video dataset focusing on human manual labor and physical work activities. Each video has been carefully annotated to identify work-related... | 7,153 | 39 | normal |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_r2egymGPT5CodexPassed-nl2bash-bugsseq_Qwen3-8Baa2b61d3 | code | 0.5649 | none | 0.3039 | null | [] | 0 | 11 | normal | |
CohenQu/Continue_vs_Terminate.01.01 | biology | 0.5701 | none | 0.2255 | null | [] | 0 | 4 | normal | |
Ayush-Singh/RM-Bench-code-gpt2-normal | code | 0.6692 | none | 0.1848 | null | [] | 0 | 6 | normal | |
open-llm-leaderboard-old/details_Inv__Konstanta-V3-AlphaFlavour-7B | none | 0.9558 | code | 0.0351 | null | [] | # Dataset Card for Evaluation run of Inv/Konstanta-V3-AlphaFlavour-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Inv/Konstanta-V3-AlphaFlavour-7B](https://huggingface.co/Inv/Konstanta-V3-AlphaFlavour-7B) on the [Open LLM Leaderboard](https://hugg... | 19,299 | 7 | normal |
open-llm-leaderboard-old/details_binbi__SF-72B-V1 | none | 0.9541 | code | 0.0249 | null | [] | # Dataset Card for Evaluation run of binbi/SF-72B-V1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [binbi/SF-72B-V1](https://huggingface.co/binbi/SF-72B-V1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboar... | 19,248 | 5 | normal |
agungszz/yuwetyhg | none | 0.3411 | code | 0.1264 | null | [] | 0 | 4 | normal | |
GitBag/block-q-sharp_ds-distilled-qwen-1.5b-ppo-kl-1e-4-ec-0.001-good-1_hmmt-feb-24_eval | code | 0.6719 | none | 0.3025 | null | [] | 0 | 3 | normal | |
supergoose/flan_combined_task081_piqa_wrong_answer_generation | none | 0.6838 | code | 0.1372 | null | [] | 0 | 5 | normal | |
docling-project/SynthCodeNet | code | 0.9975 | none | 0.002 | code | [
"code",
"ocr"
] | # SynthCodeNet
<div style="display: flex; justify-content: center; align-items: center;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/663e1254887b6f5645a0399f/whc8Bpip5P8uuzZOS0MQJ.png" alt="Code Example" style="width: 500px; height: auto">
</div>
**SynthCodeNet** is a multimodal dataset create... | 3,394 | 2,885 | normal |
Neo111x/DFIR-Metric | none | 0.5765 | cybersecurity | 0.2371 | null | [] | DFIR-Metric: A Benchmark Dataset for Evaluating Large Language Models in Digital Forensics and Incident Response
Description
DFIR-Metric is a comprehensive benchmark developed to assess the performance of Large Language Models (LLMs) in the field of Digital Forensics and Incident Response (DFIR), aiming to fill the gap... | 1,165 | 3 | normal |
ai-compliance-labs/eu-ai-act-hr-audit-whitepaper | legal | 0.9871 | cybersecurity | 0.0084 | null | [
"eu-ai-act",
"ai-governance",
"compliance",
"hr-tech",
"responsible-ai",
"algorithmic-fairness",
"audit",
"model-evaluation"
] | # Technical Framework for Bias and Robustness Evidence Generation
## for High-Risk Employment AI Systems under the EU AI Act
**AI Compliance Labs**
February 2026
---
# Technical Whitepaper — EU AI Act HR Audit Evidence Framework
This whitepaper provides a reproducible engineering methodology for generating audit... | 7,534 | 25 | new_discovery |
asingh15/arc-barc-processed-direct-max4k-sftabsfullprobs-trl1e5bs1024-qwensols-3of8 | none | 0.8989 | code | 0.0547 | null | [] | 0 | 10 | normal | |
blythet/math-dataset-mix | math | 0.9972 | none | 0.0023 | math | [
"math",
"reasoning",
"competition-math"
] | # Math Dataset Mix
A curated collection of 25,491 math problems from multiple sources,
designed for distillation training of math reasoning models.
## Statistics
| Metric | Value |
|--------|-------|
| Total problems | 25,491 |
| Problems with answers | 24740 (97.1%) |
| Average problem length | 259.6 chars |
| Tota... | 4,396 | 34 | normal |
JiahuiGengNLP/MMCoIR-train | none | 0.6232 | chemistry | 0.1295 | null | [] | # MMCoIR-train Dataset
这是数据集的描述...
## Dataset Structure
... | 62 | 12 | normal |
r1v3r/deno-new-task-instances_versions | code | 0.4712 | none | 0.3456 | null | [] | 0 | 3 | boundary | |
french-open-data/resultats-des-controles-officiels-sanitaires-dispositif-d-information-alimconfiance | cybersecurity | 0.9527 | none | 0.0217 | null | [
"alimentaire",
"controle-sanitaire",
"controles-sanitaires-dans-le-secteur-alimentaire",
"troyes-champagne-metropole",
"dataset_for_agent"
] | # Résultats des contrôles officiels sanitaires : dispositif d'information « Alim’confiance »
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Résultats des contrôles officiels sanitaires : dispositif d'information « Alim’confiance » ** qui est disponible... | 2,348 | 9 | new_discovery |
neoneye/simon-arc-solve-symmetry-v16 | none | 0.5272 | code | 0.4211 | null | [] | # Version 1
ARC-AGI Tasks where the job is to transform symmetric images.
example count: 2-4.
test count: 1-2.
image size: 2-3.
symmetry types: hstack2, hstack3, vstack2, vstack3, grid2x2.
# Version 2
image size: 2-4.
# Version 3
Added `HSTACK4`, `VSTACK4`.
# Version 4
Added `HSTACK5`, `VSTACK5`.
# Version ... | 1,499 | 9 | normal |
open-llm-leaderboard-old/details_lex-hue__Delexa-7b-128k | none | 0.9507 | code | 0.0428 | null | [] | # Dataset Card for Evaluation run of lex-hue/Delexa-7b-128k
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [lex-hue/Delexa-7b-128k](https://huggingface.co/lex-hue/Delexa-7b-128k) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH... | 19,206 | 5 | normal |
Multiperspective/multip_human_correct | none | 0.8343 | chemistry | 0.0411 | null | [] | 0 | 2 | normal | |
mahdibaghbanzadeh/GUE_tf_4 | none | 0.4782 | chemistry | 0.0888 | null | [] | 0 | 3 | normal | |
peakji/peak-search-content-plain-40k | none | 0.728 | code | 0.067 | null | [] | 0 | 10 | normal | |
imstevenpmwork/test_stream_linux | none | 0.9042 | code | 0.0908 | 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",
"... | 2,866 | 8 | normal |
dimzhead/cc3m-256 | none | 0.3936 | chemistry | 0.1734 | null | [] | 0 | 22 | normal | |
myScribe/testneu2_sft | none | 0.536 | code | 0.1385 | null | [] | 0 | 6 | normal | |
shylee/eval_DP_cube_downDims1_cropNo_freeze1_64_32_ema0_1e-4_ckpt300000 | none | 0.8944 | code | 0.0989 | 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",
"... | 4,224 | 4 | normal |
HungVu2003/opt-350m_beta_0.0_alpha_0.0_num-company_2_dataset_0_for_gen_16 | none | 0.8964 | biology | 0.04 | null | [] | 0 | 4 | normal | |
infinite-dataset-hub/EvidenceCriminal | legal | 0.9865 | none | 0.0098 | null | [
"infinite-dataset-hub"
] | # EvidenceCriminal
tags: classification, discovery, legal
_Note: This is an AI-generated dataset so its content may be inaccurate or false_
**Dataset Description:**
The 'EvidenceCriminal' dataset is designed to assist Machine Learning practitioners in training models for the classification of different types of evi... | 1,845 | 6 | new_discovery |
minh1110/translation_vi_2k | none | 0.6408 | finance | 0.0729 | null | [] | 0 | 4 | normal | |
SINAI/spanish-acronyms-pubmed | medical | 0.9675 | none | 0.0313 | medical | [
"clinical",
"medical"
] | # Leveraging pubmed to create a specialty-based sense inventory for spanish acronym resolution
Acronyms frequently occur in clinical text, which makes their identification, disambiguation and resolution an important task in clinical natural language processing. This paper contributes to acronym resolution in Spanish t... | 1,469 | 63 | normal |
wildansofhal/labeled_data_all | none | 0.9413 | chemistry | 0.0168 | null | [] | # Dataset Card for "labeled_data_all"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 170 | 25 | normal |
afg1/lkjl | biology | 0.9711 | chemistry | 0.0249 | biology | [
"biology",
"genomics",
"rna",
"non-coding-rna"
] | # RNAcentral Export
## Export Metadata
- **Query**: `(("hsa-mir-126") AND (entry_type:"Sequence" OR entry_type:"Gene")) NOT entry_type:"gene"`
- **Export date**: 17 March 2026 11:09:08
- **RNAcentral version**: v24
- **Number of sequences**: 3
## Description
[RNAcentral](https://rnacentral.org) is a free, public re... | 801 | 6 | normal |
mangi-llm/Kazakh_Multi-Task_corpus | none | 0.9656 | code | 0.0188 | null | [
"kazakh",
"nlp",
"multilingual",
"instruction-tuning",
"translation",
"central-asia"
] | # Kazakh Multi-task Corpus
A multi-task NLP dataset in the **Kazakh language**, covering seven distinct language tasks - from instruction-following and question answering to translation, sentiment analysis, and grammar exercises. Designed to support the development of Kazakh-language models, benchmarks, and linguistic... | 5,948 | 22 | normal |
bioamla/costa-rica | biology | 0.4016 | none | 0.2855 | biology | [
"biology",
"bioacoustics",
"raw"
] | 0 | 166 | boundary | |
mayankkeshari/hotpotqa-sentence-retrieval-with-attn-scores-18-12-25 | none | 0.9678 | code | 0.0171 | null | [] | # Dataset Card for "hotpotqa-sentence-retrieval-with-attn-scores-18-12-25"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 207 | 14 | normal |
mertbozkurt/robotv1-standard | none | 0.4295 | code | 0.1328 | null | [] | 0 | 9 | normal | |
islamic-datasets/Istilah_Maliki_Dataset | legal | 0.9932 | none | 0.0036 | null | [
"maliki",
"islamic-jurisprudence",
"fiqh-terminology",
"arabic",
"classical-islamic-studies",
"digital-humanities",
"terminology",
"qa"
] | ---
# 📚 Istilah Maliki Dataset | قاعدة بيانات اصطلاح المذهب المالكي
## [Arabic Version | النسخة العربية]
### القالب الرسمي لكتاب مصطلحات فقهية
اعتمدت هذه القاعدة البيانية في مادتها العلمية على المصدر التراثي المعاصر التالي:
- **عنوان الكتاب:** اصطلاحات المذهب المالكي
- **اسم المؤلف:** الدكتور محمد إبراهيم علي (أست... | 2,237 | 11 | new_discovery |
french-open-data/donnees-geocodees-des-structures-de-la-justice | legal | 0.8695 | cybersecurity | 0.124 | null | [
"administratif",
"conseil-de-prudhommes",
"conseils-departementaux-dacces-au-droit",
"cour-administrative-dappel",
"cour-criminelle-departementale",
"cour-dappel",
"cour-dassises",
"cour-de-cassation",
"juridictions",
"liste",
"ministere-de-la-justice",
"service-dinsertion-et-de-probation",
... | # Données géocodées des structures de la Justice
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Données géocodées des structures de la Justice** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5369932fa3a729239d20410c
## Description
V... | 1,159 | 6 | new_discovery |
reasoning-proj/c_dfiltered_Phi-4-reasoning-plus_2_madversarial_cont_wrong_reasoning_t30 | none | 0.8312 | legal | 0.0704 | null | [] | 0 | 5 | normal | |
ardavey/marine_ocean_mammal_sound | biology | 0.983 | climate | 0.0108 | null | [
"multiclass"
] | # Marine Ocean Mammal Sound Dataset
Sound files on this website are free to download for personal or academic (not commercial) use.
In this database version, the audio archive includes sounds of 32 species:
- Atlantic_Spotted_Dolphin
- Bearded_Seal
- Beluga,_White_Whale
- Bottlenose_Dolphin
- Bowhea... | 1,024 | 21 | new_discovery |
BinKhoaLe1812/PubMedQA-U | none | 0.5048 | biology | 0.2041 | medical | [
"medical"
] | 0 | 6 | tag_disagree | |
StephanAkkerman/chart-info-yolo | finance | 0.9884 | none | 0.0083 | finance | [
"yolo",
"finance",
"trading",
"charts",
"object-detection",
"chart-object-detection",
"financial-chart",
"financial-chart-analysis",
"financial-charts",
"financial-charts-analysis"
] | # Chart Info YOLO Dataset
This dataset contains annotated screenshots of financial charts (e.g. TradingView), formatted for object detection.
It’s designed to train small YOLO models that detect UI elements used for downstream OCR:
- `0 = symbol_title` — the title block with the ticker and name at the top of the ch... | 2,047 | 63 | normal |
hirundo-io/bbq-gender-bias-free-text-incorrect | none | 0.8926 | legal | 0.0241 | null | [] | 0 | 4 | normal | |
sodabori/ttcs-shepherd-best_of_n-N-256-completions-seed-0-20250415 | none | 0.9589 | code | 0.0229 | null | [] | 0 | 4 | normal | |
zjhhhh/iter2_7b_multi_gap_0.15_scores_adversary_21 | none | 0.7998 | climate | 0.0491 | null | [] | 0 | 5 | normal | |
HealthDataHub/PARHAF-infectiology-annotated | medical | 0.9002 | none | 0.0599 | null | [
"inception",
"uima",
"annotation"
] | # Dataset Card for PARHAF-infectiology-annotated
<div align="center">
<p>
<a href="https://huggingface.co/spaces/HealthDataHub/PARTAGES" style="display:inline;"><img src="img/PARTAGES BASELINE_RVB.png" alt="Logo" style="height:20px;vertical-align:middle; margin-right:8px; display:inline; margin-bottom:0.2em; margin-... | 8,513 | 8 | new_discovery |
sanket1703/my-face2 | none | 0.5668 | biology | 0.1111 | null | [] | 0 | 4 | normal | |
GitBag/llama3-uf-dp-from1735956551-token-st-1k1k_mosaic | none | 0.556 | code | 0.3593 | null | [] | 0 | 4 | normal | |
OALL/details_Ali-C137__L3H10M-0000 | none | 0.9338 | code | 0.051 | null | [] | # Dataset Card for Evaluation run of Ali-C137/L3H10M-0000
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Ali-C137/L3H10M-0000](https://huggingface.co/Ali-C137/L3H10M-0000).
The dataset is composed of 136 configuration, each one coresponding to one o... | 24,773 | 5 | normal |
dvilasuero/simpleqa_verified-integration-tests | none | 0.7711 | code | 0.1192 | null | [] | # simpleqa_verified-integration-tests Evaluation Results
Eval created with [evaljobs](https://github.com/dvsrepo/evaljobs).
This dataset contains evaluation results for the model `hf-inference-providers/openai/gpt-oss-20b:cheapest` using the eval script [simpleqa_verified_custom.py](https://huggingface.co/spaces/dvil... | 1,516 | 10 | normal |
pipecat-ai/smart-turn-data-v3.2-train | none | 0.9204 | code | 0.0723 | null | [] | Training dataset for Smart Turn v3.2.
Thank you to the following contributors whose audio samples are included in this dataset:
* The Pipecat team
* Liva AI: https://www.theliva.ai/
* Midcentury: https://www.midcentury.xyz/
* MundoAI: https://mundoai.world/
Also, thank you to the following people for the CC-0 backgr... | 2,675 | 798 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_2031edb4-37d4-4c71-ac6e-7d9dc97d6ce4 | none | 0.6007 | code | 0.1648 | null | [] | 0 | 3 | normal | |
ngtranai08/trivia_qa | none | 0.4906 | chemistry | 0.1212 | null | [] | 0 | 3 | normal |
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