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 |
|---|---|---|---|---|---|---|---|---|---|---|
TAUR-dev/9_8_25__countdown_4arg__sft_data_multiprompts | none | 0.7348 | climate | 0.0651 | null | [] | 0 | 3 | normal | |
coggpt/hesai-patent-chunks-embedding | none | 0.5906 | chemistry | 0.1186 | null | [] | 0 | 5 | normal | |
KevinChenwx/BiRM-Qwen2.5-7b-base-data | none | 0.731 | code | 0.148 | null | [] | 0 | 9 | normal | |
AnZhu/uCDCR | none | 0.973 | code | 0.0183 | null | [] | # Dataset Card for uCDCR
**uCDCR** (unified Cross Document Coreference Resolution) dataset provides a unified format across 12 English CDCR datasets that aim to streamline model training and data analysis within CDCR by avoiding tedious dataset parsing from a diverse formats in which these datasets were released.
[... | 24,679 | 151 | normal |
luckychao/frozen-lake-action-safe-single-image-tag-20k-cot-test-200 | none | 0.8985 | code | 0.0594 | null | [] | 0 | 31 | normal | |
open-llm-leaderboard-old/details_ajibawa-2023__WikiHow-Mistral-Instruct-7B | none | 0.9749 | code | 0.0214 | null | [] | # Dataset Card for Evaluation run of ajibawa-2023/WikiHow-Mistral-Instruct-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [ajibawa-2023/WikiHow-Mistral-Instruct-7B](https://huggingface.co/ajibawa-2023/WikiHow-Mistral-Instruct-7B) on the [Open LLM L... | 19,305 | 9 | normal |
Manpa/cryptollm-v1 | none | 0.5935 | code | 0.2594 | null | [] | This repository hosts the test-CryptoLLMQA dataset with 250 samples. | 68 | 4 | normal |
nbeerbower/hemlock-sft-v0.2 | code | 0.9947 | none | 0.0033 | null | [] | 
# hemlock-sft-v0.2
This dataset was built to teach LLMs [The Hemlock Programming Language](https://github.com/hemlang/hemlock) using SFT.
Data was generated deterministically from existing documentation, tests, and ... | 445 | 14 | new_discovery |
sshibinthomass/livehfdatacourse | none | 0.5168 | code | 0.1095 | null | [] | 0 | 5 | normal | |
mpasila/ParallelFiction-Ja_En-100k-alpaca | none | 0.9784 | code | 0.0171 | null | [] | Don't use Alpaca and embrace [ShareGPT here](https://huggingface.co/datasets/mpasila/ParallelFiction-Ja_En-100k-ShareGPT-Unfiltered).
This is a modified version of [NilanE/ParallelFiction-Ja_En-100k](https://huggingface.co/datasets/NilanE/ParallelFiction-Ja_En-100k) which has been turned into Alpaca format.
# Update ... | 1,761 | 9 | normal |
yoonholee/completions_OlympiadBench_hintgen-qwen3-4b-sft-5e-6init-star_Qwen3-1.7B | none | 0.9244 | code | 0.0402 | null | [] | 0 | 4 | normal | |
colabfit/BOTnet_ACAC_2022_test_600K_MD | chemistry | 0.9895 | none | 0.0061 | null | [
"molecular dynamics",
"mlip",
"interatomic potential"
] | ### <details><summary>Cite this dataset </summary>Batatia, I., Batzner, S., Kovács, D. P., Musaelian, A., Simm, G. N. C., Drautz, R., Ortner, C., Kozinsky, B., and Csányi, G. _BOTnet ACAC 2022 test 600K MD_. ColabFit, 2023. https://doi.org/10.60732/c83f94bc</details>
#### This dataset has been curated and formatted f... | 2,773 | 8 | new_discovery |
herimor/voxtream2-test | none | 0.9823 | code | 0.0099 | null | [
"text-to-speech"
] | # Model Card for VoXtream2 test dataset
This repository contains a test dataset for the [VoXtream2](https://huggingface.co/herimor/voxtream2) TTS model, referred to as **Emilia speaking-rate** in the paper.
Audio prompts are derived from the [Emilia](https://huggingface.co/datasets/amphion/Emilia-Dataset) dataset.
We... | 2,725 | 10 | normal |
TheFactoryX/edition_0052_cornell-movie-review-data-rotten_tomatoes-readymade | none | 0.993 | code | 0.005 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0052_cornell-movie-review-data-rotten_tomatoes-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[cornell-movie-review-data/rotten_tomatoes](https://huggingface.co/datasets/cornell-movie-review-data/rotten_tomatoes)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept ... | 1,005 | 5 | normal |
aether-raid/atc-tts-voxtream | none | 0.9784 | cybersecurity | 0.0099 | null | [] | ## ATC TTS Voxtream Dataset
This dataset is prepared for training the Voxtream TTS model and follows the format of [herimor/voxtream-train-9k](https://huggingface.co/datasets/herimor/voxtream-train-9k).
**Source:**
Based on the Singaporean SG Eleven dataset: [aether-raid/sg-aviation-el-combined](https://huggingface.c... | 1,055 | 16 | normal |
ksuinbragimova/aops_dataset_bge_large | none | 0.4967 | climate | 0.0942 | null | [] | 0 | 4 | normal | |
extralit-dev/test_import_dataset_from_hub_with_classlabel_05fe1142-4a18-4d23-b015-5233598ba053 | none | 0.709 | code | 0.0932 | null | [] | 0 | 4 | normal | |
HungVu2003/opt-350m_beta_0.0_alpha_0.0_num-company_2_dataset_0_for_gen_6_v2 | none | 0.8904 | code | 0.0509 | null | [] | 0 | 4 | normal | |
inceptionai/Arabic-IFEval | none | 0.9554 | code | 0.0278 | null | [] | IFEval is the **first publicly available benchmark dataset** specifically designed to evaluate Arabic Large Language Models (LLMs) on instruction-following capabilities in Arabic.
The dataset includes 404 high-quality, manually verified samples covering various constraints such as linguistic patterns, punctuation rule... | 3,729 | 47 | normal |
plzsay/pick_up_test | none | 0.9433 | code | 0.0516 | 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",
"... | 2,949 | 23 | normal |
DCAgent/DCAgent_dev_set_71_tasks_DCAgent_code-contests-sandboxes-traces-terminus-2_weigh44f55826 | code | 0.7844 | none | 0.2012 | null | [] | 0 | 10 | normal | |
BabyLM-community/babylm-ko-subtitles | none | 0.9842 | legal | 0.0096 | null | [] | # babylm-ko
## Dataset Description
This dataset is part of the BabyLM multilingual collection.
### Dataset Summary
- **Language:** ko
- **Script:** Korean (Hangul + Han)
- **Category:** subtitles
- **Source:** Unknown
- **Age Estimate:** n/a
- **Number of Documents:** 7909
- **Total Tokens:** 34475400
### Tokens P... | 875 | 11 | normal |
Ecolash/A1-Train-Dataset-Sampled | none | 0.3524 | biology | 0.2985 | null | [] | 0 | 27 | normal | |
alexantonov/smolsent_chuvash | none | 0.3754 | chemistry | 0.1203 | null | [] | 0 | 9 | normal | |
TheFactoryX/edition_2469_google-research-datasets-mbpp-readymade | none | 0.9898 | code | 0.008 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2469_google-research-datasets-mbpp-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[google-research-datasets/mbpp](https://huggingface.co/datasets/google-research-datasets/mbpp)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recon... | 969 | 7 | normal |
Asap7772/omnimath-r1distill7b-gen__831_1108 | none | 0.6875 | biology | 0.1331 | null | [] | 0 | 7 | normal | |
aimlresearch2023/ClimbMix50K | none | 0.8414 | biology | 0.092 | null | [] | # ClimbMix50K
## About
Subsampled version of [gvlassis/ClimbMix](https://huggingface.co/datasets/gvlassis/ClimbMix) containing **50,000** samples while preserving the original 20-cluster ratio distribution.
## Description
This dataset is created by stream-sampling from `gvlassis/ClimbMix` without downloadin... | 2,316 | 34 | normal |
samihormi/MU_RedPajama-Data-1T_1k_forget_1k_retain_QA | none | 0.7983 | code | 0.087 | null | [] | 0 | 8 | normal | |
pritamdeb68/general_english_firefly_512 | none | 0.7578 | biology | 0.0654 | null | [] | 0 | 8 | normal | |
zekeZZ/gpqa_bio | chemistry | 0.3859 | none | 0.3502 | null | [] | 0 | 1,302 | boundary | |
faluradu/Amazon_reviews | none | 0.5184 | biology | 0.1261 | null | [] | 0 | 5 | normal | |
dianpham/datasets_finetuning_PhoWhisper | none | 0.6165 | code | 0.108 | null | [] | 0 | 3 | normal | |
ShiningJazz/feedback_assistant_harmlesshelpfulhumor_271_1_2_0 | none | 0.7861 | code | 0.0858 | null | [] | 0 | 3 | normal | |
faduul/study | none | 0.3942 | chemistry | 0.1398 | null | [] | 0 | 4 | normal | |
mustafabuke/table_dataset | none | 0.424 | climate | 0.154 | null | [] | 0 | 4 | normal | |
anonymous-3E42/DeepSTARR_preprocessed | none | 0.4073 | climate | 0.2086 | null | [] | 0 | 5 | normal | |
sjleslie/random_agreement_7_bins_long_63 | none | 0.6856 | climate | 0.1328 | null | [] | 0 | 5 | normal | |
DCAgent2/DCAgent2_aider_polyglot_Qwen_Qwen3-8B_20260115_134852 | biology | 0.4825 | none | 0.445 | null | [] | 0 | 10 | boundary | |
tarekmasryo/football-matches-2025-dataset | none | 0.9063 | code | 0.0376 | null | [
"football",
"soccer",
"sports-analytics",
"matches",
"fixtures",
"results",
"season-2024-2025",
"tabular",
"dataset",
"games",
"eda"
] | # ⚽ European Football Matches 2024/2025 Season
**Author:** [Tarek Masryo](https://huggingface.co/tarekmasryo) · [Kaggle](https://www.kaggle.com/datasets/tarekmasryo/football-matches-20242025-top-5-leagues)
**License:** CC BY 4.0 (Attribution)
---
## 📌 Dataset Summary
Clean and structured dataset with **1,941 matc... | 4,082 | 89 | normal |
helloelwin/Qwen3-32B_6episodes_comparisons_full | none | 0.9747 | code | 0.015 | null | [] | # Qwen3-32B_6episodes_comparisons_full
This is a pairwise comparison dataset created from SWE-bench evaluation results.
## Dataset Description
- **Model**: Qwen3-32B
- **Episodes used**: [1, 2, 3, 4, 5, 6]
- **Total comparison pairs**: 175
- **Resolved pairs**: 55
- **Unresolved pairs**: 120
- **Problems analyzed**:... | 2,417 | 4 | normal |
nimitvasavat/Gr00t_lerobot | none | 0.8974 | code | 0.097 | null | [
"ur5",
"xarm"
] | 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",
"... | 4,685 | 173 | normal |
Ayansk11/financial-sentiment-cot-8.5k | finance | 0.9977 | none | 0.0017 | finance | [
"finance",
"chain-of-thought",
"reasoning",
"sentiment-analysis",
"financial-news"
] | # Financial Sentiment Analysis with Chain-of-Thought (8.5K)
## Dataset Description
A dataset of **8,541 financial news snippets** with chain-of-thought (CoT) reasoning for sentiment analysis. Each sample includes step-by-step reasoning before arriving at a sentiment label (positive/negative/neutral).
### Key Feature... | 8,379 | 15 | normal |
AnhMinhLe/repoeval_comparison_dataset | none | 0.434 | code | 0.1494 | null | [] | 0 | 3 | normal | |
davidheineman/nsf-awards | none | 0.6939 | chemistry | 0.1053 | null | [] | Dataset of 500K NSF awards. Last pulled May 2025.
Data includes titles, abstracts and metadata, from 1960-present as they appear in the NSF database. Data is originally from https://www.nsf.gov/awardsearch/download.jsp, and is hosted on HF.
**Note:** Awards prior to 1976 are not fully included, and do not have all fi... | 726 | 44 | normal |
pdf2dataset/9719fe082def315d7c5692da9dd40572 | none | 0.504 | biology | 0.139 | null | [] | 0 | 3 | normal | |
Baptiste-le-Beaudry/lerobot-dataset1751660774 | none | 0.9398 | code | 0.0565 | 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"... | 3,933 | 6 | normal |
scene-genie/sd_background_generation_1 | none | 0.8411 | code | 0.0774 | null | [] | 0 | 6 | normal | |
VictorZhang111/demo | none | 0.3164 | climate | 0.2076 | null | [] | 0 | 6 | normal | |
electricsheepafrica/nigerian-banking-micro-loans | finance | 0.9938 | none | 0.0054 | finance | [
"nigeria",
"banking",
"finance",
"fraud-detection",
"african-data"
] | # Micro Loans (₦5k-₦100k)
## Dataset Description
Nigerian micro loans with default labels (₦5k-₦100k range)
This is a **production-grade synthetic dataset** with authentic Nigerian banking context, designed for micro-lending risk assessment, payday loan optimization, and financial inclusion analytics.
### Key Featu... | 2,224 | 16 | normal |
Fischerboot/freedom-rp-alpaca-shortend | none | 0.6248 | code | 0.1628 | null | [] | 0 | 22 | normal | |
kothasuhas/commbin5_TEST-ctx16-3200 | none | 0.5976 | code | 0.1132 | null | [] | 0 | 5 | normal | |
samarthmahapatra/grey-plushie-pickup | none | 0.9126 | code | 0.0822 | 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",
"... | 3,585 | 9 | normal |
vaibhavad/gsm8k-aug-first4 | none | 0.6964 | code | 0.086 | null | [] | 0 | 9 | normal | |
neoneye/simon-arc-solve-erosion-v1 | none | 0.8945 | code | 0.0823 | null | [] | # Version 1
ARC-AGI Tasks where the job is to erode images by removing the outermost pixels from the colored areas.
example count: 2-4.
test count: 1-2.
image size: 3-6. | 173 | 8 | normal |
DCAgent2/swebench_verified_random_100_folders_a1_stackexchange_unix_20260325_214708 | none | 0.9437 | code | 0.0357 | null | [] | 0 | 0 | normal | |
covertlabs/qwen3-reasoning-training | none | 0.5127 | chemistry | 0.1163 | null | [] | 0 | 3 | normal | |
pdf2dataset/b6cdeff04f1e2e835d4f7cd1df6806c8 | none | 0.6692 | finance | 0.064 | null | [] | 0 | 5 | normal | |
mtc/multirc_dev_all_answers | none | 0.5685 | code | 0.1598 | null | [] | 0 | 7 | normal | |
Grievous-Robot/advanced-grievous-20260220_111843 | none | 0.9268 | code | 0.0686 | 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",
"... | 3,879 | 14 | normal |
alon-albalak/qwen-8b-noveltybench-comprehensive-evaluation | none | 0.8499 | code | 0.0923 | null | [] | 0 | 15 | normal | |
capbypass123/geetest-v4-training | none | 0.8249 | cybersecurity | 0.1568 | null | [] | # GeeTest V4 Training Data
Training datasets, ONNX models, and scripts for GeeTest V4 CAPTCHA solver.
## Structure
| Directory | Size | Contents |
|-----------|------|----------|
| `models/` | 185MB | Production ONNX models (YOLO, DINOv2, CLIP) |
| `icon-matching-v2/` | 213MB | DINOv2 dual-encoder training triplets ... | 1,787 | 10,238 | normal |
DorianAtSchool/color_relay_executor_single_dagger_b50 | none | 0.9266 | code | 0.0691 | 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",
"... | 5,288 | 27 | normal |
babylon9/cwru_12k_de_spectrum_features | none | 0.5609 | chemistry | 0.1922 | null | [] | 0 | 5 | normal | |
We-Math/We-Math | math | 0.9812 | chemistry | 0.009 | null | [
"LLM",
"NLP",
"CV"
] | # Dataset Card for WE-MATH (ACL 2025)
[GitHub](https://github.com/We-Math/We-Math) | [Paper](https://arxiv.org/pdf/2407.01284) | [Website](https://we-math.github.io/)
Inspired by human-like mathematical reasoning, we introduce We-Math, the first benchmark specifically designed to explore the problem-solving principle... | 979 | 2,812 | new_discovery |
naru-19/mnist | none | 0.4855 | biology | 0.2306 | null | [] | 0 | 3 | normal | |
caden-ut/rotom_task_teleop | none | 0.8846 | code | 0.0893 | null | [
"rotom",
"robotics",
"imitation-learning"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=caden-ut/rotom_task_teleop">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-x... | 2,636 | 18 | normal |
Ryan-ZL-LIN/eval_act_so101_local_1122 | none | 0.9224 | code | 0.0727 | 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"... | 3,728 | 12 | normal |
NMizu/LSPDMajestic | none | 0.3487 | biology | 0.1585 | null | [] | 0 | 5 | normal | |
Vinno97/customer-service-intent-mining-hackathon | none | 0.6166 | cybersecurity | 0.325 | null | [] | Based on [jonathansuru/customer_service_intent_detection](https://huggingface.co/datasets/jonathansuru/customer_service_intent_detection).
Added `prompt_embedding` column by embedding the "message" column using [BAAI/bge-large-en-v1.5](https://huggingface.co/BAAI/bge-large-en-v1.5) | 283 | 3 | normal |
neko-llm/CoT_biology | biology | 0.9924 | chemistry | 0.0049 | null | [] | # CoT_biology
## データセットの説明
このデータセットは、以下の分割（split）ごとに整理された処理済みデータを含みます。
- **ToT_biology**: 1 JSON files, 1 Parquet files
## データセット構成
各 split は JSON 形式と Parquet 形式の両方で利用可能です:
- **JSONファイル**: 各 split 用サブフォルダ内の元データ（`ToT_biology/`）
- **Parquetファイル**: split名をプレフィックスとした最適化データ（`data/ToT_biology_*.parquet`）
各 JSON ファイルには、... | 1,187 | 5 | new_discovery |
cho-sr/Hair-Augmented-Test | none | 0.6042 | code | 0.1432 | null | [] | 0 | 8 | normal | |
Psychometrics/gsm8k_pilot_subset | none | 0.818 | medical | 0.0387 | null | [] | 0 | 24 | normal | |
yyf314/recovery2 | none | 0.2666 | chemistry | 0.2472 | null | [] | 0 | 4 | normal | |
Fdddhhhill/last_mile_delivery_data.csv | none | 0.9025 | cybersecurity | 0.0453 | null | [
"artificial-intelligence",
"industrial-ai",
"logistics-optimization",
"supply-chain-analytics",
"predictive-maintenance",
"smart-factory",
"industrial-iot",
"fleet-management"
] | # Industrial & Logistics AI Research Dataset Collection (2024 Edition)
## Overview
This repository provides a structured collection of industrial and logistics datasets
designed for artificial intelligence training, operational simulation,
and supply chain optimization research.
The datasets represent realistic indus... | 1,942 | 15 | normal |
adroitLee/eval_260112_ep50_syrg_bz50_R50_Rtn50_pjw_s3000 | none | 0.9259 | code | 0.0653 | 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",
"... | 2,869 | 5 | normal |
TheFactoryX/edition_0902_google-research-datasets-mbpp-readymade | none | 0.9895 | code | 0.0084 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0902_google-research-datasets-mbpp-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[google-research-datasets/mbpp](https://huggingface.co/datasets/google-research-datasets/mbpp)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recon... | 969 | 5 | normal |
zjhhhh/whole_sw_maxlen_8192_shard_18 | none | 0.8182 | code | 0.0661 | null | [] | 0 | 5 | normal | |
bestak/eval_so101_banana_4 | none | 0.949 | code | 0.0451 | 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",
"... | 3,578 | 24 | normal |
adroitLee/left_action_hs | none | 0.9445 | code | 0.0497 | 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",
"... | 2,950 | 9 | normal |
Qipei/Task_data_scaling_09 | none | 0.9229 | code | 0.0664 | 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",
"... | 4,977 | 9 | normal |
giovannidemuri/dolly_llama8b-er-afg-v3-seed2-hx_256_ngt0.6_tp0.9 | none | 0.8812 | biology | 0.0426 | null | [] | 0 | 26 | normal | |
sjleslie/random_Leslie_types_long_98 | biology | 0.7467 | climate | 0.1007 | null | [] | 0 | 5 | normal | |
thewh1teagle/ljspeech-enhanced | none | 0.9174 | finance | 0.0243 | null | [] | # ljspeech-enhanced
This dataset contains ~10 hours of 1 to 14 seconds audio files from LJSpeech dataset in similar format `0.txt|phonemes|speaker_id|text`
The dataset enhanced using `Adobe speech enhance v2` and phonemized using `espeak-ng`
Extracted data size is ~14GB | 273 | 12 | normal |
zhhxte/mllm_cl_pathvqa | none | 0.3151 | chemistry | 0.1977 | null | [] | 0 | 4 | normal | |
mteb/BSARDRetrieval | legal | 0.9927 | none | 0.0062 | null | [
"mteb",
"text"
] | <!-- adapted from https://github.com/huggingface/huggingface_hub/blob/v0.30.2/src/huggingface_hub/templates/datasetcard_template.md -->
<div align="center" style="padding: 40px 20px; background-color: white; border-radius: 12px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); max-width: 600px; margin: 0 auto;">
<h1 styl... | 6,527 | 1,278 | new_discovery |
yunhezhui123/eval_pi0_so100_test4.21.1 | none | 0.9284 | code | 0.0684 | null | [
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 3,583 | 7 | normal |
pt-eval/prompts_Llamargy-3.2-1B-Instruct-Final_5shot_3exp | none | 0.8483 | code | 0.1195 | null | [] | 0 | 25 | normal | |
KarsenWahal/newswire-partisanship-frequencies-1887 | none | 0.6897 | legal | 0.1021 | null | [] | 0 | 4 | normal | |
yxhong-tw/twisc | legal | 0.9937 | none | 0.0031 | legal | [
"legal"
] | # Taiwan-Indictment-Summarization-Corpus (TWISC)
Taiwan-Indictment-Summarization-Corpus (TWISC) is a dataset designed for legal judgment prediction and legal text summarization. It is collected from Taiwan Ministry of Justice and covers data from 2018/06 to 2021/06.
This dataset is used in the paper [**Improving Coll... | 2,703 | 11 | normal |
raidavid/test | none | 0.9195 | code | 0.0764 | null | [
"so100",
"tutorial",
"eval"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.0",
"... | 3,584 | 16 | normal |
almanach/wmt19-gemma-3-27b-it-Decomp | none | 0.6939 | code | 0.0688 | null | [] | 0 | 48 | normal | |
Dejian0/eval_ds2_recordpolicy1_2 | none | 0.9077 | code | 0.0866 | 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",
"... | 2,570 | 23 | normal |
Mobiusi/Pesticide-Spraying-Scene-Classification-Dataset | biology | 0.3143 | none | 0.2876 | null | [
"Image classification",
"deep learning training",
"pattern recognition",
"Agricultural automation",
"spraying operations",
"crop monitoring"
] | # Pesticide Spraying Scene Classification Dataset
The current agricultural industry faces challenges such as low spraying efficiency and environmental pollution, especially during large-scale farmland spraying. Traditional methods rely on manual operations, which can lead to pesticide waste and uneven spraying. Existi... | 2,725 | 17 | boundary |
ankile/nutsquare-paired-auto-v3-r12 | none | 0.961 | code | 0.0239 | 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",
"... | 5,871 | 12 | normal |
TheFactoryX/edition_2567_open-thoughts-OpenThoughts-114k-readymade | none | 0.9894 | code | 0.0093 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2567_open-thoughts-OpenThoughts-114k-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[open-thoughts/OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and... | 975 | 9 | normal |
sarahzhoo620/tennis-momentum-analysis-data | none | 0.7449 | finance | 0.1432 | null | [
"tennis",
"sports",
"match data",
"momentum analysis",
"tabular"
] | # Dataset Card for Tennis Momentum Analysis Dataset
<!-- Provide a quick summary of the dataset. -->
This dataset contains detailed point-by-point data from a 2023 Wimbledon Championship tennis match between Carlos Alcaraz and Nicolas Jarry, designed to support momentum analysis and sports analytics research. It capt... | 6,662 | 28 | normal |
kjngansgfa/dataset_33audv5f | none | 0.6209 | chemistry | 0.0927 | null | [] | 0 | 4 | normal | |
Taywon/HH_full_parsed | code | 0.6883 | none | 0.1915 | null | [] | This is the hh-rlhf dataset, with only the helpful split merged. And the format is parsed so that chosen and rejected are not strings but lists of dictionaries, where each dictionary is the conversation (following the more standard format). | 240 | 10 | normal |
Ritwika03/Kathbath_hindi_tts | none | 0.6837 | code | 0.0794 | null | [] | 0 | 16 | normal | |
parler-tts/libritts_r_tags_tagged_10k_generated | none | 0.9744 | code | 0.0124 | null | [] | # Dataset Card for Annotated LibriTTS-R
**This dataset is an annotated version of LibriTTS-R [1].** [LibriTTS-R](https://huggingface.co/datasets/blabble-io/libritts_r) [1] is a sound quality improved version of the [LibriTTS corpus](http://www.openslr.org/60/) which is a multi-speaker English corpus of approximately ... | 5,550 | 85 | normal |
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