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 |
|---|---|---|---|---|---|---|---|---|---|---|
zjhhhh/real_base_check_armo_tokenized | none | 0.7071 | code | 0.1325 | null | [] | 0 | 5 | normal | |
DataTechnician/customhkcode2 | code | 0.4012 | none | 0.2079 | null | [] | 0 | 3 | normal | |
drublackberry/hbr-coaching-real-leaders | none | 0.9661 | code | 0.0134 | null | [] | Transcripts of HBR's Coaching Real Leaders podcasts, can be found [here](https://hbr.org/2020/12/podcast-coaching-real-leaders) | 127 | 5 | normal |
jjmstd/A2D2_gemini-1.5-Flash | code | 0.353 | none | 0.327 | null | [] | 0 | 6 | boundary | |
DenyTranDFW/Drive_Auto_Receivables_Trust_2017_3_1717900 | none | 0.9444 | legal | 0.0266 | null | [] | | cik | form | accessionNumber | fileNumber | filmNumber | reportDate | url|
| ---------- | ---------- | ---------- | ---------- | ---------- | ---------- | ----------|
| 1717900 | ABS-EE | 0000950131-17-000624 | 333-215494-03 | 171133454 | 2017-09-30 | https://sec.gov/Archives/edgar/data/1717900/000095013117000624... | 7,996 | 4 | normal |
christophsonntag/OLID | none | 0.859 | code | 0.0724 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
The Offensice Language Identification Dataset (OLID) contains 14,100 annotated tweets from Twitter, annotated with three subcategories via crowdsourcing and has been released together with
the paper [Predicting the Type and Target of Of... | 8,502 | 557 | normal |
vietnhat/shannon-higgs-metadata2 | none | 0.5182 | chemistry | 0.2177 | null | [] | 0 | 4 | normal | |
Mingminng/omx_pick_motor1 | none | 0.9317 | code | 0.0634 | 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 | 6 | normal |
AndrewAp624/Rosaleen | none | 0.2228 | biology | 0.2068 | null | [] | 0 | 4 | normal | |
minpeter/fineweb-2-edu-korean-raw | none | 0.9075 | code | 0.0694 | null | [] | HuggingFaceFW/fineweb-2 (v2.1.0)
It took about 9 hours on A100 80gbx4 to process the dataset.
 | 214 | 1,381 | normal |
sert121/ad_instruct_containing_a_w_e_m_o_r_s_c_h_test_shuffled_2 | none | 0.7471 | legal | 0.2053 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_9_features
# Features Used
['occupation', 'hours-per-week', 'education', 'age', 'relationship', 'sex', 'workclass', 'marital-status', 'capital-gain']
## Dataset Description
... | 378 | 4 | normal |
rastadidi/recettes-cuisine-auptitcafe-ncl | none | 0.8842 | cybersecurity | 0.0383 | null | [] | # A propos
Historique des recette du restaurant [Au P'tit Café](https://auptitcafe.nc/). Voir [Au p'tit café Series' Articles](https://dev.to/adriens/series/23071) pour plus de détails. | 186 | 3 | normal |
onepaneai/unfaithfulness-answer-faithfulness-check-dolly-dataset.ipynb | none | 0.7911 | legal | 0.1115 | null | [] | 0 | 5 | normal | |
makabaka777/lima_low_quality_v1 | none | 0.5986 | chemistry | 0.1043 | null | [] | 0 | 4 | normal | |
thavens/Llama-3.1-8B-secalign-basic | none | 0.6634 | code | 0.2306 | null | [] | 0 | 5 | normal | |
maxseats/aihub-464-preprocessed-680GB-set-46 | none | 0.7409 | climate | 0.0604 | null | [] | 0 | 4 | normal | |
DCAgent2/DCAgent_dev_set_v2_laion_sft_GLM-4-7-swesmith-sandboxes-with_tests-oracle_verif1723b24e | code | 0.4946 | none | 0.4716 | null | [] | 0 | 24 | boundary | |
sentence-transformers/msmarco-msmarco-distilbert-base-v3 | none | 0.994 | code | 0.0036 | null | [
"sentence-transformers"
] | # MS MARCO with hard negatives from msmarco-distilbert-base-v3
[MS MARCO](https://microsoft.github.io/msmarco/) is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine.
For each query and gold positive passage, the 50 most similar paragraphs were mi... | 28,321 | 541 | normal |
NLP-FBK/medexpqa-es | medical | 0.8633 | none | 0.116 | null | [] | This dataset is presented in
```
@misc{ferrazzi2025groundedmultilingualmedicalreasoning,
title={Grounded Multilingual Medical Reasoning for Question Answering with Large Language Models},
author={Pietro Ferrazzi and Aitor Soroa and Rodrigo Agerri},
year={2025},
eprint={2512.05658},
archi... | 418 | 14 | new_discovery |
Slim205/lean_workbook_RL_hinter_V1 | none | 0.5475 | code | 0.159 | null | [] | 0 | 4 | normal | |
ClergeF/flava-checkin-dataset | none | 0.6426 | code | 0.132 | null | [] | 0 | 4 | normal | |
Asap7772/aime-qwen-gen__230_460 | none | 0.7293 | biology | 0.0709 | null | [] | 0 | 5 | normal | |
DT4H/umls_en | none | 0.7334 | chemistry | 0.1536 | null | [] | # Dataset Card for Umls En
This dataset was created by: [Author]
The source language: [Source Language]
The original data source: [Original Data Source]
# Data description
UMLS concepts and their descriptions.
# Acknowledgement
This is part of the DT4H project with attribution [Cite the paper].
# Doi a... | 375 | 11 | normal |
ClarusC64/ai-community-cohesion-failure-horizon-and-mitigation-routing-v0.1 | none | 0.7858 | code | 0.1414 | null | [
"clarusc64",
"ai-safety",
"social-coherence",
"polarization",
"mitigation",
"failure-horizon"
] | ## What this dataset is
This dataset forecasts community cohesion failure.
It routes mitigations before collapse.
It treats the platform as a social system.
Not a feed.
## Task
Given a platform snapshot, output:
failure_horizon_days
primary_failure_mode
mitigation_route
minimal_fix_set
Use the trigger a... | 1,221 | 14 | normal |
aadland6/upgraded_simple-full | none | 0.5881 | climate | 0.1672 | null | [] | 0 | 25 | normal | |
continuallearning/libero_spatial_image_task_0_4_new | none | 0.8894 | code | 0.0978 | 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 | 11 | normal |
sert121/adult_data_instruction_fi_containing_r_m_c_a_e_e_o_h_c_f_s_w_test_shuffled_2 | none | 0.7439 | legal | 0.2126 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_12_log_features
# Features Used
['relationship', 'marital-status', 'capital-gain', 'age', 'education-num', 'education', 'occupation', 'hours-per-week', 'capital-loss', 'fnlwgt', 'sex', 'work... | 457 | 4 | normal |
diogenes-wallis/20220301_simple_100_all_mpnet_base_v2 | none | 0.7904 | code | 0.0779 | null | [] | 0 | 5 | normal | |
ai-metrology-lab/MathBode-LinearSolve | math | 0.9957 | none | 0.0029 | math | [
"math",
"reasoning",
"dynamic-analysis",
"bode-plot",
"llm-evaluation",
"linear-algebra"
] | # MathBode-LinearSolve: Linear Algebra Domain
Linear equation solving problems from the MathBode benchmark.
This dataset is part of the **MathBode** benchmark, which evaluates the dynamic reasoning capabilities of large language models (LLMs) by treating parametric math problems as dynamic systems. Instead of testing... | 2,755 | 29 | normal |
leninangelov/act-training-data-test-01 | none | 0.9365 | code | 0.0592 | 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",
"... | 2,943 | 20 | normal |
kshitijthakkar/smoltrace-results-20251112_085316 | none | 0.635 | code | 0.1163 | null | [] | 0 | 5 | normal | |
HankHuang/SciHorizon-Gene | biology | 0.9912 | none | 0.0034 | null | [
"genomics",
"biology",
"bioinformatics",
"biomedical",
"gene",
"life-sciences",
"llm-evaluation",
"reasoning",
"scientific-benchmark"
] | # 🧬 SciHorizon-GENE
**SciHorizon-GENE** is a large-scale benchmark for evaluating the capability of large language models (LLMs) to perform **understanding-to-reasoning** in human gene knowledge.
It focuses on assessing whether LLMs can reliably infer biological function and interpretation from gene-level knowledge ... | 2,414 | 13 | new_discovery |
Qipei/Task_twoarms_pickup_mobile_008 | none | 0.9158 | code | 0.0772 | 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",
"... | 4,978 | 5 | normal |
test-gen/num5_code_mbpp_qwen2.5-7b_t1.0_n8_tests_mbpp_o4-mini_t0_n1 | code | 0.698 | none | 0.2852 | null | [] | 0 | 5 | normal | |
Jiwon-Kang/pixmo-points-filtered-below10_imgContained | none | 0.4918 | climate | 0.2527 | null | [] | 0 | 32 | normal | |
d1shs0ap/countdown | none | 0.4764 | code | 0.1522 | null | [] | 0 | 7 | normal | |
brandyDolly/qtt_data_demo2 | none | 0.4244 | climate | 0.1805 | null | [] | 0 | 4 | normal | |
supergoose/buzz_sources_039_know_saraswati_cot_formatted | none | 0.7262 | code | 0.0617 | null | [] | 0 | 3 | normal | |
french-datasets/bismarck91_fr_en_synthetic_audio_dataset_16khz | none | 0.9414 | cybersecurity | 0.0336 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [bismarck91/fr_en_synthetic_audio_dataset_16khz](https://huggingface.co/datasets/bismarck91/fr_en_synthetic_audio_dataset_16khz). | 217 | 7 | normal |
G-reen/Duet-v0.6 | none | 0.83 | code | 0.135 | null | [] | If you use this dataset or the prompts on this page, I'd greatly appreciate it if you gave me credits. Thanks!
This is a moderate update from https://huggingface.co/datasets/G-reen/Duet-v0.5. I modified the subjects, and added COT to question generation (for diversity). This should be slightly better. I might update t... | 530 | 3 | normal |
carlfeynman/Bharat_NanoTouche2020_sa | none | 0.9633 | code | 0.0229 | 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... | 1,632 | 10 | normal |
pranavsaroha/bimanual_laundry_so101_test | none | 0.945 | code | 0.05 | 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",
"... | 4,810 | 9 | normal |
khaledsayed1/fineweb-bbc-news-embeddings-DuckDB | none | 0.7113 | finance | 0.0949 | null | [] | 0 | 4 | normal | |
zake7749/kyara-lite-1M-DPO-TMMLUPLUS | none | 0.6738 | code | 0.1174 | null | [] | 0 | 4 | normal | |
reasoning-proj/ablation_force_doubt_logic_EXAONE_Deep_32B | none | 0.5407 | code | 0.1574 | null | [] | 0 | 10 | normal | |
ossaili/alberto1727292248858 | none | 0.9722 | code | 0.0171 | null | [] | # Dataset Card for "alberto1727292248858"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 174 | 9 | normal |
jae0311/pick_and_place_groot | none | 0.9063 | code | 0.0894 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 4,214 | 6 | normal |
samzirbo/SAMT2.en-es.gendered | none | 0.5717 | code | 0.1075 | null | [
"machine translation",
"gender bias"
] | 0 | 5 | normal | |
mayflowergmbh/ultra-chat_de | none | 0.9837 | code | 0.014 | null | [] | A german translation for the [stingning/ultrachat](https://huggingface.co/datasets/stingning/ultrachat) dataset.
Extracted from [seedboxventures/multitask_german_examples_32k](https://huggingface.co/datasets/seedboxventures/multitask_german_examples_32k).
Translation created by [seedbox ai](https://huggingface.co/se... | 500 | 37 | normal |
hartular/eval-corrector-other-error_classes | none | 0.3936 | chemistry | 0.1971 | null | [] | 0 | 4 | normal | |
manufactoria/prepend_sequence_train | none | 0.7627 | chemistry | 0.1566 | null | [] | # Dataset Card for "prepend_sequence_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 176 | 34 | normal |
eoinedge/spark-plug-anomaly-detection | none | 0.4101 | cybersecurity | 0.3361 | null | [
"visual-anomaly-detection",
"edge-impulse",
"spark-plugs",
"computer-vision",
"predictive-maintenance"
] | # Spark Plug Anomaly Detection
Images of spark plugs for use in visual anomaly detection with Edge Impulse’s FOMO-AD learning block. The model is trained only on `normal` samples and flags any deviation as an anomaly.
- Input: Images (96x96)
- Classes: `normal` (train/test), `anomaly` (test only)
- Use case: Embedded... | 648 | 123 | normal |
IABD07/dataset_opiniones_peliculas | none | 0.748 | legal | 0.1277 | null | [] | El dataset consta de dos columnas:
- text: son opiniones sobre peliculas
- label: etiqueta a cada opinión en base a si es positiva, negativa o neutral | 154 | 7 | normal |
introspection-auditing/backdoors35 | none | 0.5355 | chemistry | 0.0863 | null | [] | 0 | 4 | normal | |
withcomment/pmc_vqa_train | none | 0.3756 | chemistry | 0.2226 | null | [] | 0 | 10 | normal | |
UniDataPro/scene-scanning-video | none | 0.9608 | cybersecurity | 0.0234 | null | [
"human activity",
"environmental scans",
"scene exploration",
"video dataset",
"object detection"
] | # Environment Scanning Dataset
The dataset comprises **10,000** videos capturing humans performing natural **human activity by scanning their surroundings in controlled settings**. It features individuals interacting with various objects and natural environments, providing rich **environmental scans** for research appl... | 1,656 | 18 | normal |
DCAgent2/dev_set_v2_nemotron_terminal_corpus_unified_3160__Qwen3_8B_20260326_001239 | code | 0.553 | none | 0.3476 | null | [] | 0 | 0 | normal | |
Thesho1/ODA-Mixture-500k-copy-55 | math | 0.7861 | none | 0.1459 | null | [] | # ODA-Mixture-500k
<img src="performance.png" alt="Subject Distribution" width="1200" />
ODA-Mixture-500k is a large-scale general-purpose post-training dataset curated from top-performing open corpora (selected via the *OpenDataArena* leaderboard) and refined through deduplication, benchmark decontamination.
---
... | 12,155 | 12 | normal |
jima2619/toio_pusht_20251222 | none | 0.9311 | code | 0.065 | 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",
"... | 2,615 | 5 | normal |
market193/us-unemployment | finance | 0.9957 | none | 0.0028 | finance | [
"economics",
"finance",
"us-unemployment"
] | # US Unemployment Tracker API
US Unemployment Rate historical data from FRED (Federal Reserve). Updated monthly.
## Data Source
Official economic data from FRED (Federal Reserve), World Bank, IMF, and government statistics agencies.
## API Access
Full API available on RapidAPI: https://rapidapi.com/193market
## D... | 519 | 6 | normal |
Luca15095/organgeBall0 | none | 0.93 | code | 0.0644 | 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",
"... | 2,312 | 5 | normal |
ACSci/related_works_summary_demo | none | 0.3908 | chemistry | 0.195 | null | [] | 0 | 14 | normal | |
yoonholee/completions_OlympiadBench_qwen3-8b-hint-rpo-0.1-0.1-1e-6init_Qwen3-1.7B | none | 0.9291 | code | 0.0558 | null | [] | 0 | 4 | normal | |
sjelassi/open_subtitles | none | 0.6116 | legal | 0.0745 | null | [] | 0 | 8 | normal | |
winvswon78/worldsensesub | none | 0.6021 | code | 0.1028 | null | [] | 0 | 17 | normal | |
Jasim9085/my-distiset-b19ad24c | none | 0.911 | code | 0.0773 | 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-b19ad24c
This dataset has been crea... | 1,749 | 21 | normal |
princeton-nlp/fineweb_edu-swahili-translated | none | 0.8061 | chemistry | 0.0495 | null | [] | 0 | 21 | normal | |
reasoning-proj/c_dfiltered_science_DeepSeek-R1-Distill-Qwen-1_5B_mneutral_insert_random_characters_t70 | none | 0.888 | code | 0.0592 | null | [] | 0 | 5 | normal | |
MCINext/NQ_FA_test_top_250_only_w_correct-v2 | none | 0.6681 | code | 0.1723 | null | [] | 0 | 198 | normal | |
berhaan/clevr-tr | none | 0.7807 | code | 0.0827 | null | [
"CoT",
"reasoning",
"captioning",
"translation"
] | # Dataset Card for CoT
## Dataset Sources
- **Repository:** [LLaVA-CoT GitHub Repository](https://github.com/PKU-YuanGroup/LLaVA-CoT)
- **Paper:** [LLaVA-CoT on arXiv](https://arxiv.org/abs/2411.10440)
## Dataset Structure
Turkish - tr dataset
```bash
unzip image.zip
```
The `train.jsonl` file contains the question... | 1,742 | 19 | normal |
muhtasham/tajik-asr-augmented-test | none | 0.7635 | code | 0.0578 | null | [] | 0 | 24 | normal | |
umannedice/commanderTest | none | 0.6392 | code | 0.1497 | null | [] | 0 | 13 | normal | |
TIGER-Lab/WebInstruct-verified-unfiltered | math | 0.9918 | none | 0.0047 | null | [
"science"
] | **This repo contains the unfiltered version [WebInstruct-verified](https://huggingface.co/datasets/TIGER-Lab/WebInstruct-verified) in the General Reasoner work.**
## General-Reasoner: Advancing LLM Reasoning Across All Domains
<p align="center">
<a href="https://github.com/TIGER-AI-Lab/General-Reasoner" target="_b... | 3,851 | 6 | new_discovery |
snowcat123454/my-distiset-f863df76 | none | 0.4295 | climate | 0.2673 | null | [] | 0 | 4 | normal | |
scenegenai/curtain-caption-dataset-v1.1 | none | 0.8064 | code | 0.0468 | null | [] | 0 | 5 | normal | |
connections-dev/connection_queries_jan12_natural_original_1_step_None_0.7_4096_Olmo-3_1-32B-Inst | none | 0.8912 | biology | 0.0472 | null | [
"inference",
"entity-connections",
"knowledge-graph"
] | # Dataset: connections-dev/connection_queries_jan12
This dataset was generated using the inference script with the following configuration:
## Inference Parameters
### Model Configuration
- **Model Name**: `allenai/Olmo-3.1-32B-Instruct`
- **Server URL**: `http://localhost:9000`
- **API Key**: `Not provided`
- **Req... | 1,721 | 8 | normal |
FuriousBlade001/finetuning_demo | none | 0.5942 | code | 0.1894 | null | [] | 0 | 4 | normal | |
ouvic215/X-ray-100-0613 | none | 0.467 | biology | 0.1614 | null | [] | 0 | 5 | normal | |
vaibhav1/Mongolian_FakeNews_Comprehendo_dataset | none | 0.5213 | code | 0.1578 | null | [] | 0 | 3 | normal | |
ardhian93/spectre | none | 0.3916 | chemistry | 0.1318 | null | [] | 0 | 4 | normal | |
ainewtrend07/P2 | none | 0.3783 | climate | 0.2004 | null | [] | 0 | 5 | normal | |
mohan2/StyleTransfer-Reward-StyleScore | none | 0.9223 | cybersecurity | 0.0395 | null | [
"style-transfer",
"reward-model",
"preference-learning"
] | # StyleTransfer-Reward-StyleScore
Complete Reward Model training data from **StyleScore evaluation pipeline**.
## 📊 Data Contents (~292GB total)
### Core Reward Data
| Archive | Size | Description |
|---------|------|-------------|
| `style_images.tar.part_*` | 123GB | Winner images (高质量风格化结果) |
| `genref_wds_conte... | 1,316 | 62 | normal |
synquid/gsm8k-da | none | 0.5038 | chemistry | 0.119 | null | [] | 0 | 9 | normal | |
Slim205/gsm8k_ift_v02_translated_nllb0 | none | 0.7341 | code | 0.1087 | null | [] | 0 | 4 | normal | |
tweets-hate-speech-detection/tweets_hate_speech_detection | none | 0.9482 | legal | 0.0286 | null | [] | # Dataset Card for Tweets Hate Speech Detection
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances]... | 3,954 | 540 | normal |
jihuny/llama_nec_10k_sky_active_mgopt_a05 | none | 0.4489 | medical | 0.2461 | null | [] | 0 | 10 | normal | |
vietnhat/zenande-higgs-metadata15-v1 | none | 0.6795 | biology | 0.1099 | null | [] | 0 | 5 | normal | |
Iker/NoticIA | none | 0.9153 | code | 0.0624 | null | [
"summarization",
"clickbait",
"news"
] | <p align="center">
<img src="https://huggingface.co/datasets/Iker/NoticIA/resolve/main/assets/logo.png" style="height: 250px;">
</p>
<h3 align="center">"A Clickbait Article Summarization Dataset in Spanish."</h3>
We present NoticIA, a dataset consisting of 850 Spanish news articles featuring prominent clickbait h... | 7,549 | 581 | normal |
sirichada/cube-record-2 | none | 0.9393 | code | 0.0549 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 2,939 | 5 | normal |
mlfoundations-dev/load_in_code_glaive | code | 0.6573 | none | 0.2209 | null | [] | 0 | 5 | normal | |
zaaabik/amazon | none | 0.3051 | code | 0.1405 | null | [] | 0 | 19 | normal | |
zjhhhh/7b_iter1_scores_41_base | none | 0.7839 | code | 0.0799 | null | [] | 0 | 3 | normal | |
extralit-dev/test_import_dataset_from_hub_with_classlabel_24c6a889-f244-4081-9a0c-cce0a601834f | none | 0.7635 | climate | 0.0588 | null | [] | 0 | 4 | normal | |
sbstratos79/genshin_beidou_audio | none | 0.6845 | climate | 0.0682 | null | [] | 0 | 3 | normal | |
Ryoo72/DocDownstream-1.0_ip | code | 0.8225 | none | 0.1057 | null | [] | > [!NOTE]
> There are duplicate entries, but they also exist in the original dataset.
[mPLUG/DocDownstream-1.0](https://huggingface.co/datasets/mPLUG/DocDownstream-1.0) reformated for VSFT with TRL's SFT Trainer.
Referenced the format of [HuggingFaceH4/llava-instruct-mix-vsft](https://huggingface.co/datasets/Huggi... | 1,234 | 8 | new_discovery |
jomell310/doblar-camiseta-20ep-V31 | none | 0.9207 | code | 0.0745 | 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",
"... | 3,717 | 20 | normal |
jeqcho/qwen-2.5-3b-instruct-leopard-numbers-run-1 | none | 0.5302 | code | 0.4437 | null | [] | 0 | 14 | normal | |
sert121/adult_data_instruction_containing_e_h_shuffled_2 | none | 0.9824 | legal | 0.0067 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_2_features
# Features Used
['education', 'hours-per-week']
## Dataset Description
Top 2 features selected from the adult dataset by the LLM. | 287 | 4 | normal |
isaaccorley/bright | climate | 0.795 | none | 0.1191 | null | [] | The included version here is the original Challenge dataset version found [here](https://huggingface.co/datasets/Kullervo/BRIGHT) with the
only difference that the zip file also includes the .txt files that indicate the splits from [here](https://github.com/ChenHongruixuan/BRIGHT/tree/master/dfc25_benchmark/dataset/spl... | 1,672 | 31 | normal |
DrNicefellow/Llama_3.1_cri_thinking_qset2_da_r1 | chemistry | 0.3941 | none | 0.3673 | null | [] | 0 | 15 | boundary |
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