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 |
|---|---|---|---|---|---|---|---|---|---|---|
DCAgent2/dcagent-dev-set-71-tasks-dcagent-code-contests-sandboxes-traces-terminus-2-ada-96949491 | code | 0.7347 | none | 0.256 | null | [] | 0 | 9 | normal | |
KenP/qa-dataset-20250907 | none | 0.5288 | climate | 0.1038 | null | [
"camel",
"question-answering"
] | 0 | 5 | normal | |
timaeus/pythia-160m-pile-1m-ig-l3h4 | chemistry | 0.4082 | none | 0.3259 | null | [] | 0 | 4 | boundary | |
timaeus/max_loss_delta_ablation_l0h7 | none | 0.5397 | climate | 0.1077 | null | [] | 0 | 4 | normal | |
distilled-false-pos-one-sec-cv12/chunk_214 | none | 0.748 | biology | 0.1234 | null | [] | 0 | 3 | normal | |
lion-ai/EskulapASRData | none | 0.427 | biology | 0.2516 | null | [] | 0 | 10 | normal | |
lerobot-data-collection/human_new_28 | none | 0.9404 | code | 0.055 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=lerobot-data-collection/human_new_28">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this... | 5,398 | 25 | normal |
wangshiheng/OpenMindmapReasoning-mini | none | 0.4843 | code | 0.1684 | null | [] | 0 | 37 | normal | |
juliadollis/ORIGINAL_whisper-20pct-20250625_161957-preprocessado | none | 0.7772 | code | 0.0996 | null | [] | 0 | 2 | normal | |
Menoviar28/menov58 | none | 0.4811 | biology | 0.2179 | null | [
"art"
] | 0 | 3 | normal | |
TheFactoryX/edition_2388_gradio-custom-component-gallery-backups-readymade | none | 0.8862 | code | 0.1118 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2388_gradio-custom-component-gallery-backups-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[gradio/custom-component-gallery-backups](https://huggingface.co/datasets/gradio/custom-component-gallery-backups)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of tak... | 999 | 9 | normal |
electricsheepafrica/nigerian_realestate_rental_yields | finance | 0.9618 | none | 0.0212 | null | [
"nigeria",
"real-estate",
"property",
"housing",
"property-valuations-and-pricing"
] | # Nigeria Real Estate – Rental Yields
## Dataset Description
Synthetic Property Valuations & Pricing data for Nigeria real estate sector.
**Category**: Property Valuations & Pricing
**Rows**: 100,000
**Format**: CSV, Parquet
**License**: MIT
**Synthetic**: Yes (generated using reference data from PropertyPro... | 4,292 | 20 | new_discovery |
R0bfried/RAGAS-BASE-llama-3-2-1B-eval2 | none | 0.567 | biology | 0.1328 | null | [] | 0 | 5 | normal | |
NeutrinoPit/OpenSubtitles2024-en-ar-batch69 | none | 0.645 | climate | 0.0837 | null | [] | 0 | 4 | normal | |
VGraf/generation_multi_1741143829 | none | 0.8725 | code | 0.1222 | null | [] | # allenai/open_instruct: Generation Dataset
See https://github.com/allenai/open-instruct/blob/main/docs/algorithms/rejection_sampling.md for more detail
## Configs
```
args:
{'add_timestamp': True,
'dataset_end_idx': 1000,
'dataset_mixer_list': ['HuggingFaceH4/no_robots', '1000'],
'dataset_splits': ['train', 'tra... | 2,076 | 4 | normal |
supergoose/flan_combined_task742_lhoestq_answer_generation_frequency | none | 0.7595 | code | 0.1132 | null | [] | 0 | 5 | normal | |
neuralfoundry-coder/finance-instructions-ko-sample | finance | 0.9247 | none | 0.0405 | finance | [
"finance",
"korean",
"instruction-tuning",
"qa",
"translation"
] | # Korean Finance Instruction Dataset (Sample)
## 데이터셋 개요
본 데이터셋은 한국어 금융 분야 지시학습(Instruction Tuning) 데이터셋의 샘플 버전입니다.
카테고리별로 최대 1,000건씩 샘플링되어 있으며, 데이터 구조 확인 및 테스트 목적으로 활용할 수 있습니다.
전체 데이터셋은 별도의 private 저장소에서 제공됩니다.
## 데이터 형식
본 데이터셋은 현대 sLLM (small Language Model) 지시학습(Instruction Tuning)에 최적화된 형식으로 구성되어 있습니다.
```json... | 1,872 | 15 | normal |
dgambettavuw/D_gen0_run2_llama2-7b_xlsum_doc1000_real96_synt32_vuw | none | 0.7266 | code | 0.1833 | null | [] | 0 | 4 | normal | |
livebench/instruction_following | none | 0.6836 | code | 0.1792 | null | [] | # Dataset Card for "livebench/instruction_following"
LiveBench is a benchmark for LLMs designed with test set contamination and objective evaluation in mind. It has the following properties:
- LiveBench is designed to limit potential contamination by releasing new questions monthly, as well as having questions based o... | 935 | 3,694 | normal |
shanto268/la_restaurants | none | 0.975 | biology | 0.0076 | null | [
"food",
"restaurant",
"ai-gen"
] | # LA Restaurants Dataset
## Overview
This dataset is generated by `llama3` based on Instagram posts of popular LA based food bloggers. The dataset consists of restaurant information extracted from Instagram captions of popular LA food pages. It includes details such as restaurant names, addresses, Instagram handles, ... | 1,365 | 6 | normal |
MoritzLaurer/dataset_test_disaggregated_nli | none | 0.9325 | code | 0.0239 | null | [] | # Dataset Card for "dataset_test_disaggregated_nli"
Dataset for testing a universal classifier. Additional information and training code available here: https://github.com/MoritzLaurer/zeroshot-classifier | 205 | 183 | normal |
anahitaakter01/jibso | none | 0.3569 | chemistry | 0.1032 | null | [] | 0 | 5 | normal | |
french-open-data/les-prenoms-des-conseillers-municipaux | none | 0.3284 | legal | 0.3211 | null | [
"communales",
"elections",
"elus",
"municipales",
"dataset_for_agent"
] | # Les prénoms des conseillers municipaux
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Les prénoms des conseillers municipaux** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5369986da3a729239d204f60
## Description
Les prénoms des c... | 628 | 10 | normal |
Geoffrey19/Lerobot-dataset | none | 0.9512 | code | 0.044 | 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",
"... | 4,120 | 19 | normal |
french-open-data/logistique-urbaine-lyon-parc-auto-de-la-metropole-de-lyon | cybersecurity | 0.9664 | none | 0.0298 | null | [
"dataset_for_agent"
] | # Logistique urbaine Lyon Parc Auto de la Métropole de Lyon
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Logistique urbaine Lyon Parc Auto de la Métropole de Lyon** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5dd64b2b634f4130f151e... | 878 | 7 | new_discovery |
1Nono1/piper_smolvla_placeparts1 | none | 0.8886 | code | 0.101 | 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",
"... | 3,543 | 7 | normal |
TheFactoryX/edition_1790_google-research-datasets-mbpp-readymade | none | 0.9894 | code | 0.0084 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1790_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 | 8 | normal |
shulijia/MNLP_M3_mcqa_dataset_sciq_orig | none | 0.4527 | chemistry | 0.1571 | null | [] | 0 | 4 | normal | |
Shayanvsf/Paraphrase | none | 0.365 | chemistry | 0.1354 | null | [] | 0 | 4 | normal | |
zjhhhh/iter2_7b_fullcheck_perprompt_scores_adversary_69 | none | 0.7723 | code | 0.1129 | null | [] | 0 | 6 | normal | |
moralesid/RENNY | biology | 0.3501 | none | 0.2864 | null | [
"art"
] | 0 | 6 | boundary | |
andito/chatbot_arena_completions | none | 0.7077 | code | 0.1641 | null | [] | 0 | 59 | normal | |
pdf2dataset/2277bd38d59e3cc74e9286c83c87389a | none | 0.5376 | biology | 0.1238 | null | [] | 0 | 4 | normal | |
chengfu0118/urQwen25-7B-IT-attn0-ffn0-OT114k-seq16k-bs96-sp3600-345600-last_1756889732_eval_104b | none | 0.9897 | biology | 0.0035 | null | [] | # chengfu0118/urQwen25-7B-IT-attn0-ffn0-OT114k-seq16k-bs96-sp3600-345600-last_1756889732_eval_104b
Precomputed model outputs for evaluation.
## Evaluation Results
### AIME24
- **Average Accuracy**: 0.33% ± 0.32%
- **Number of Runs**: 10
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|----... | 582 | 5 | normal |
lucaelin/wikipedia_metadata | none | 0.5133 | code | 0.1417 | null | [] | 0 | 3 | normal | |
samwu0217/test | none | 0.9326 | code | 0.062 | 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",
"... | 3,570 | 5 | normal |
Myuxiisoya/Developer | none | 0.3589 | biology | 0.1798 | null | [] | 0 | 6 | normal | |
ahalin/DADE | none | 0.7272 | climate | 0.2352 | climate | [
"segmentation",
"driving",
"images",
"videos",
"weather",
"GNSS",
"CARLA"
] | # Dataset Card for DADE Dataset
The DADE dataset, short for **Driving Agents in Dynamic Environments**, is a synthetic dataset designed for the training and evaluation of methods for the task of semantic segmentation in the context of autonomous driving agents navigating dynamic environments and weather conditions.
... | 8,723 | 128 | tag_disagree |
MoeReward/combined_rlhf_dataset_grpo_arc_main_2K | none | 0.6525 | code | 0.1075 | null | [] | 0 | 7 | normal | |
MaoSong2022/CV-Bench | none | 0.9063 | code | 0.0365 | null | [
"3D"
] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This is the re-formatted version of the [CV-Bench](https://huggingface.co/datasets/nyu-visionx/CV-Bench) dataset, it is used for the [VLM-EvalKit](https://github.com/open-compass/VLMEvalKit).
## Dataset Details
### Dataset Description
... | 746 | 38 | normal |
ambrosfitz/SyReC | none | 0.9346 | code | 0.0383 | null | [
"wiki"
] | ---
# SyReC: The Syntactic Reconstruction Corpus
## Dataset Description
**SyReC** (Syntactic Reconstruction Corpus) is a large-scale, synthetically generated dataset designed to benchmark and train language models on the task of **syntactic and semantic reconstruction**. The core challenge presented by this dataset... | 6,253 | 9 | normal |
sergiov2000/so100_movella_pick_ball_A2 | none | 0.9291 | code | 0.0668 | null | [
"so100",
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 3,584 | 39 | normal |
atreydesai/qgqa-gpt-4.1-20260213-041705 | none | 0.5539 | code | 0.134 | null | [] | 0 | 18 | normal | |
davanstrien/genbank-h6n8-avian-influenza | biology | 0.9888 | none | 0.0078 | null | [
"zenodo-migration",
"tabular"
] | # GenBank Accession Numbers of H6N8 avian influenza virus in Antarctic seabirds
## Dataset Description
This dataset contains the accession numbers for 16 viral cRNA (PB2) sequences obtained from chinstrap penguin and brown skua.
**Original Source:** [Zenodo](https://zenodo.org/record/15530405)
**Authors:** de Seixa... | 1,968 | 4 | new_discovery |
abhinav302019/olympiad_data_220 | none | 0.384 | biology | 0.307 | null | [] | 0 | 4 | normal | |
SahmBenchmark/fatwa-training_standardized_new | none | 0.658 | legal | 0.2929 | null | [
"islamic-finance",
"fatwa",
"question-answering",
"training",
"instruction-tuning",
"arabic"
] | # Fatwa Training Dataset (Standardized)
## Dataset Description
This dataset contains Islamic finance and jurisprudence fatwa question-answer pairs in a **standardized conversation format** for training Arabic language models. Each original sample has been augmented with **3 different prompt templates** to increase tr... | 3,156 | 21 | normal |
test-gen/code_humaneval_qwen2.5-3b_t0.1_n8_tests_humaneval_qwen3-4b_t0.7_n1 | none | 0.7004 | code | 0.2911 | null | [] | 0 | 5 | normal | |
FiscaAI/TARMED_KVG_01.90-F-embeddings | none | 0.6435 | biology | 0.1166 | null | [] | 0 | 4 | normal | |
quzhe/logiqa-en | none | 0.5578 | chemistry | 0.2106 | null | [] | 0 | 4 | normal | |
CraftJarvis/minestudio-data-9xx-v106 | none | 0.8368 | code | 0.1078 | null | [] | # Version Update
The dataset only supports minestudio versions prior to v1.0.6. | 80 | 26 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_8db85945-ab2b-4d02-a4ce-feed61662435 | none | 0.6569 | code | 0.1808 | null | [] | 0 | 5 | normal | |
dataticon-dev/khmer_mpwt_speech | none | 0.6225 | finance | 0.0836 | null | [] | 0 | 8 | normal | |
lyl472324464/place_soldering_iron_and_solder_on_marker | none | 0.9684 | code | 0.0245 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 7,073 | 75 | normal |
adaadig/multipledata6K_tagged | none | 0.6094 | chemistry | 0.0861 | null | [] | 0 | 5 | normal | |
siala94/aerial-drone-amsterdam-test | none | 0.7632 | climate | 0.0586 | null | [] | 0 | 4 | normal | |
jwwoo/eval_piper_vlmbase_v1 | none | 0.9442 | code | 0.0467 | 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",
"... | 4,279 | 14 | normal |
chengfu0118/qwen25-7b-it-OpenThoughts-114k-seq16k-bs96-steps3600-0811-0146-345600-last_1755005303_eval_104b | none | 0.9939 | code | 0.0036 | null | [] | # chengfu0118/qwen25-7b-it-OpenThoughts-114k-seq16k-bs96-steps3600-0811-0146-345600-last_1755005303_eval_104b
Precomputed model outputs for evaluation.
## Evaluation Results
### AIME24
- **Average Accuracy**: 29.00% ± 1.16%
- **Number of Runs**: 10
| Run | Accuracy | Questions Solved | Total Questions |
|-----|---... | 607 | 5 | normal |
FinGPT/fingpt-forecaster-sz50-20230201-20240101 | none | 0.6496 | biology | 0.2698 | null | [] | # Dataset Card for "fingpt-forecaster-sz50-20230201-20240101"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 194 | 45 | normal |
Mobiusi/Free-Range-Chicken-Detection-Dataset | biology | 0.7904 | none | 0.1912 | null | [
"Target Detection",
"Image Classification",
"Agricultural Monitoring",
"Breeding Management",
"Food Safety"
] | # Free-Range Chicken Detection Dataset
Current challenges in the agricultural industry include the difficulty in managing and monitoring free-range chickens. Traditional manual monitoring is inefficient and easily affected by environmental factors. Existing solutions often rely on manual observation, leading to strong... | 2,980 | 16 | normal |
rathi2023/binima | none | 0.3651 | climate | 0.1662 | null | [] | 0 | 5 | normal | |
Hemanth-Sai/Sentiments | none | 0.3164 | climate | 0.2204 | null | [] | 0 | 7 | normal | |
saber1209caoke/fenjian0328 | none | 0.9358 | code | 0.0598 | 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",
"... | 4,027 | 8 | normal |
rasdani/cohere-wikipedia-2023-11-bg-queries | none | 0.9869 | legal | 0.0044 | null | [
"distilabel",
"rlaif"
] | <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 cohere-wikipedia-2023-11-bg-queries
This datase... | 8,369 | 6 | normal |
jacobmorrison/alpacaeval-swahili-english | none | 0.6982 | legal | 0.0727 | null | [] | 0 | 3 | normal | |
villekuosmanen/agilex_spell_love | none | 0.9351 | code | 0.0605 | 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": "v2.0",
"... | 3,884 | 115 | normal |
Synthyra/AffinityBenchmarkv5.5 | biology | 0.7721 | chemistry | 0.1171 | null | [] | 0 | 24 | normal | |
phoenyx08/linear-regression-synthetic-set-1000 | none | 0.6746 | chemistry | 0.2171 | null | [
"linear-regression",
"tabular"
] | viewer: true
# Synthetic Linear Regression Dataset
This dataset consists of 1000 synthetic data points for training and evaluating simple linear regression models.
## Dataset Description
- **x**: A single input feature, randomly sampled from a uniform distribution between 0 and 10.
- **y**: Target value computed as... | 609 | 7 | normal |
HTill/dcase2025_task2_dev | none | 0.8703 | code | 0.0979 | null | [
"dcase",
"audio",
"anomaly-detection"
] | # DCASE 2025 Task 2 - Development Dataset
Attributes `d1v`, `d2v`, `d3v` are encoded as **ClassLabels**.
## Usage
```python
from datasets import load_dataset
dataset = load_dataset('HTill/dcase2025_task2_dev', trust_remote_code=True)
``` | 237 | 21 | normal |
distilabel-internal-testing/fine-preferences-test-2 | none | 0.525 | chemistry | 0.1868 | null | [
"distilabel",
"rlaif"
] | <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 fine-preferences-test-2
This dataset has been c... | 7,210 | 6 | normal |
TurkuNLP/finbenchv2-arc-c-fi-ht | none | 0.825 | code | 0.0693 | null | [] | Archived version of [silogen/ARC-C-fi-HT](https://huggingface.co/datasets/silogen/ARC-C-fi-HT) used in Finbench version 2, as described in the paper [FIN-bench-v2: A Unified and Robust Benchmark Suite for Evaluating Finnish Large Language Models](https://huggingface.co/papers/2512.13330).
Code: https://github.com/Lumi... | 346 | 848 | normal |
NadineMostafa/AnghaBench_risc_clang_o0_20percent | none | 0.7199 | code | 0.111 | null | [] | 0 | 4 | normal | |
french-datasets/Lots-of-LoRAs_task1689_qed_amara_translation | none | 0.9435 | cybersecurity | 0.0374 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [french-datasets/Lots-of-LoRAs/task1689_qed_amara_translation](https://huggingface.co/datasets/french-datasets/Lots-of-LoRAs/task1689_qed_amara_translation). | 245 | 5 | normal |
HHS-Official/total-covid-19-deaths-since-january-1-2020-by-age | none | 0.7925 | medical | 0.0922 | null | [
"hhs",
"cdc",
"coronavirus",
"covid-19",
"deaths",
"demographics",
"mortality"
] | # Total COVID-19 Deaths since January 1, 2020 by Age Group, Race/Ethnicity, and Sex
## Description
Count and percent of total COVID-19 deaths since January 1, 2020, by age group, race/ethnicity, and sex
## Dataset Details
- **Publisher**: Centers for Disease Control and Prevention
- **Temporal Coverage**: Most rece... | 782 | 9 | normal |
AlexWortega/cv16 | biology | 0.2699 | none | 0.2561 | null | [] | 0 | 13 | boundary | |
siro1/kernelbook-kimi_k2_thinking-evals-filtered-synthetic-prompts | none | 0.7908 | code | 0.1841 | null | [] | 0 | 15 | normal | |
simonycl/game-eval-qwen-Qwen3-8B-Base-vs-openai-gpt-4.1-mini-20250715-094130 | none | 0.9051 | code | 0.0847 | null | [] | 0 | 27 | normal | |
TAUR-dev/SIE_EVAL__countdown2arg_bon_au__sft__samples__bf_evaluated__prefix_diversity_metrics | none | 0.8581 | code | 0.0805 | null | [] | 0 | 5 | normal | |
Alwaly/women_wolof_tts | none | 0.5296 | climate | 0.1436 | null | [] | 0 | 4 | normal | |
juliadollis/stf_regex_ner_pierre_6 | none | 0.5068 | code | 0.1663 | null | [] | 0 | 4 | normal | |
Roman190928/LinearReasoning-10000 | math | 0.9603 | none | 0.0307 | math | [
"math",
"algebra",
"reasoning",
"equations",
"fractions",
"word-problems",
"logic",
"llm-training",
"finetuning"
] | # LinearReasoning-10000
Synthetic algebra-heavy math reasoning dataset.
Each row:
- question
- problem
- how_to_solve
- answer | 128 | 10 | normal |
mastermani305/tts-1000-v1 | none | 0.5481 | chemistry | 0.1149 | null | [] | 0 | 4 | normal | |
Dash00/ncbi-disease-selection | biology | 0.7167 | none | 0.1295 | null | [] | 0 | 6 | normal | |
icewatt/UVH-26-15-Class | none | 0.9191 | cybersecurity | 0.0383 | null | [
"computer-vision",
"object-detection",
"traffic",
"vehicles",
"india",
"cctv"
] | <div align="center">
<!-- Banner Image -->
<img width="50%" src="https://cdn-uploads.huggingface.co/production/uploads/653a21df882e390615659caf/aoWWXP4iJjEWSFevCt5cl.png" alt="UVH-26 Banner">
<div align="center">
<a href="https://arxiv.org/abs/2511.02563" ><img src="https://cdn-uploads.huggingface.co/produc... | 10,514 | 59 | normal |
dbaeka/soen_691_test_500_hashed_with_results | none | 0.6935 | climate | 0.0791 | null | [] | 0 | 4 | normal | |
2GM/linear-equation | chemistry | 0.4415 | climate | 0.201 | null | [] | 0 | 4 | normal | |
Kenku707/items_raw_lite | none | 0.4635 | code | 0.1796 | null | [] | 0 | 29 | normal | |
colabfit/23-Single-Element-DNPs_RSCDD_2023-Zn | chemistry | 0.9942 | none | 0.0036 | null | [
"molecular dynamics",
"mlip",
"interatomic potential"
] | ### <details><summary>Cite this dataset </summary>Andolina, C. M., and Saidi, W. A. _23-Single-Element-DNPs RSCDD 2023-Zn_. ColabFit, 2023. https://doi.org/10.60732/dfa1e792</details>
#### This dataset has been curated and formatted for the ColabFit Exchange
#### This dataset is also available on the ColabFit Excha... | 2,684 | 7 | new_discovery |
electricsheepafrica/nigerian-telecom-coverage-maps-and-signal-strength-data | none | 0.9371 | finance | 0.0188 | null | [
"telecom",
"coverage",
"map",
"signal",
"strength"
] | # Coverage Maps and Signal Strength Data
## Dataset Description
Geo-tagged network quality measurements across Nigeria
## Dataset Information
- **Category**: Geospatial and Mobility
- **Format**: CSV, Parquet
- **Rows**: 200,000
- **Columns**: 14
- **Date Generated**: 2025-10-05
- **Location**: `data/coverage_maps_... | 3,555 | 33 | normal |
LocalDoc/azerbaijani_retriever_corpus | none | 0.8189 | code | 0.1451 | null | [
"text-retrieval",
"contrastive-learning",
"information-retrieval",
"azerbaijani"
] | # A Large-Scale Azerbaijani Corpus for Contrastive Retriever Training
## Dataset Description
This dataset is a large-scale, high-quality resource designed for training Azerbaijani text embedding models for information retrieval tasks. It contains **671,528** training instances, each consisting of a query, a relevant ... | 3,022 | 129 | normal |
Factral/lacuna_malariav2 | climate | 0.4195 | biology | 0.273 | null | [] | 0 | 26 | boundary | |
av120/record-test-2-cameras-42 | none | 0.9081 | code | 0.0852 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=av120/record-test-2-cameras-42">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-datas... | 3,259 | 0 | normal |
Thomas880423/SloMoBlur | none | 0.9561 | code | 0.0325 | null | [] | To cite this dataset in a publication, please use:
@misc{mahmud2025deblurringwildrealworldimage,
title={Deblurring in the Wild: A Real-World Image Deblurring Dataset from Smartphone High-Speed Videos},
author={Syed Mumtahin Mahmud and Mahdi Mohd Hossain Noki and Prothito Shovon Majumder and Abdul Mohaimen... | 545 | 67,672 | normal |
Nech-C/mineralimage5K-98 | none | 0.3924 | chemistry | 0.3731 | null | [] | This dataset is a subset of the MineralImage5k dataset introduced by Nesteruk et al. in `MineralImage5k: A benchmark for zero-shot raw mineral visual recognition and description`.
Their [GitHub repo](https://github.com/ai-forever/mineral-recognition) and link to the [paper](https://www.bing.com/search?q=mineralimage5... | 577 | 31 | normal |
chaoweihuang/hh-rlhf_pairwise | none | 0.3932 | chemistry | 0.3117 | null | [] | 0 | 48 | normal | |
habibahabchi/smollm3-base-blindspots | medical | 0.9525 | none | 0.0437 | null | [
"blind-spots",
"base-model",
"medical-ai",
"hallucination",
"SmolLM3",
"fatima-fellowship"
] | # SmolLM3-3B-Base Blind Spots Evaluation Dataset
## Dataset Summary
This dataset documents 10 diverse failure cases discovered while evaluating
[HuggingFaceTB/SmolLM3-3B-Base](https://huggingface.co/HuggingFaceTB/SmolLM3-3B-Base),
a 3-billion parameter decoder-only base language model released by Hugging Face in July ... | 2,816 | 11 | new_discovery |
zjhhhh/Qwen7b_fullcheck_0.17_iter1_26000 | none | 0.5413 | code | 0.2601 | null | [] | 0 | 4 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_cf8f672a-97ab-4baf-9aeb-94165e72e541 | none | 0.6469 | code | 0.1338 | null | [] | 0 | 3 | normal | |
brahmairesearch/hindi_chat | none | 0.6747 | code | 0.0709 | null | [] | 0 | 4 | normal | |
mlnomad/imnet1k_ambulance | none | 0.6702 | biology | 0.0946 | null | [] | 0 | 4 | normal | |
NobleMathews/SWE-bench__style-2-edits-only-tests__fs-oracle | code | 0.5534 | none | 0.2766 | null | [] | 0 | 24 | normal |
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