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 |
|---|---|---|---|---|---|---|---|---|---|---|
abbyoneill/thurs1120pickplace | none | 0.9069 | code | 0.0888 | 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",
"... | 3,594 | 13 | normal |
svjack/Blue_Sports_Boy_Videos_Captioned_1920_1080 | none | 0.6798 | code | 0.1874 | null | [] | 0 | 4 | normal | |
MikeGreen2710/sao_moc_remote_deduplicated_new_std | none | 0.5879 | code | 0.1975 | null | [] | 0 | 5 | normal | |
AutoComp/AutoComp-Contextual-N2-SC | none | 0.6821 | code | 0.2248 | null | [] | 0 | 6 | normal | |
karthi07/eval_record-pick-headhone-feb-03 | none | 0.9387 | code | 0.0561 | 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 | 13 | normal |
anirudhb11/R1-1.5b-Par-Temp-0.7-Ans-40-16384-s-42-deg-64-path-3-n-16000-s-10300-e-10400 | none | 0.9695 | code | 0.0138 | null | [] | 0 | 5 | normal | |
haileyyy33/askvox-math-rag | math | 0.9953 | none | 0.0035 | math | [
"askvox",
"math",
"rag",
"instruction",
"education"
] | # AskVox – Math Problem Solving (RAG + Instruction)
This dataset merges multiple Kaggle sources (AIME/IMO style, Math-500, and medium-to-hard single prompt questions) into a unified schema for **AskVox**.
## Schema
- `id`, `domain` = "math", `subdomain` = "problem-solving"
- `prompt` (question), `response` (answer/so... | 910 | 6 | normal |
adityagaharawar/my-distiset-492f994e | cybersecurity | 0.4508 | none | 0.3111 | 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-492f994e
This dataset has been crea... | 3,059 | 4 | boundary |
felixZzz/4b_pseudoteacher_response-3-custom_student_response-verified-acc | none | 0.8291 | code | 0.0732 | null | [] | 0 | 6 | normal | |
tan7271/CubeHandoverVertical | none | 0.8479 | code | 0.1477 | null | [
"converted",
"panda"
] | 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",
"... | 2,946 | 3 | normal |
fibleep/record-test | none | 0.9447 | code | 0.049 | 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",
"... | 2,943 | 4 | normal |
jskim/eval_picknplace_2view_webcam_3 | none | 0.9193 | code | 0.0761 | 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",
"... | 3,586 | 5 | normal |
7jep7/rook_to_d4_labeled | none | 0.3685 | climate | 0.2279 | null | [] | 0 | 4 | normal | |
rinabuoy/khPOS | none | 0.2882 | chemistry | 0.1514 | null | [] | 0 | 3 | normal | |
Alyosha11/mixed | none | 0.3761 | chemistry | 0.1579 | null | [] | 0 | 8 | normal | |
rasyosef/amharic-sentences-corpus | none | 0.9506 | biology | 0.0229 | null | [] | # Amharic Sentences Corpus
This dataset is compiled by [Yimam et al. (2021)](https://www.mdpi.com/1999-5903/13/11/275) at [LT Group](https://huggingface.co/uhhlt), University of Hamburg, Germany. It comprises a collection of 6.4 million Amharic sentences intended for use in language model pretraining.
### Source
- *... | 1,012 | 128 | normal |
TheSkullery/Aether-Lite-V1.2 | none | 0.8313 | code | 0.1542 | null | [] | <!DOCTYPE html>
<style>
body {
font-family: 'Quicksand', sans-serif;
background: linear-gradient(135deg, #2E3440 0%, #1A202C 100%);
color: #D8DEE9;
margin: 0;
padding: 0;
font-size: 16px;
}
.container {
width: 80%;
max-width: 800px;
margin: 20px auto;
background-color: rgba(... | 5,999 | 6 | normal |
zaburou/structured_data_with_cot_dataset_512_v5_cleaned | none | 0.5547 | chemistry | 0.1263 | null | [] | 0 | 13 | normal | |
PostWonder/srcy_v5 | none | 0.4114 | climate | 0.1687 | null | [] | 0 | 5 | normal | |
pylover/recruitment-dataset-candidate-profiles-english | none | 0.6703 | code | 0.1417 | null | [] | # Djinni Dataset (English CVs part)
## Overview
The [Djinni Recruitment Dataset](https://github.com/Stereotypes-in-LLMs/recruitment-dataset) (English CVs part) contains 150,000 job descriptions and 230,000 anonymized candidate CVs, posted between 2020-2023 on the [Djinni](https://djinni.co/) IT job platform. The dat... | 3,370 | 8 | normal |
Svngoku/ExperimentalCoTQA | none | 0.3217 | code | 0.2327 | null | [] | 0 | 11 | normal | |
Self-GRIT/seed-open-hermes-2.5-active-retrieval-sample-300k-retrieval-query-ref-distilled | none | 0.9793 | code | 0.0169 | null | [] | 0 | 3 | normal | |
shivank21/chameleon1 | none | 0.6261 | code | 0.0829 | null | [] | 0 | 6 | normal | |
freethenation/msmarco-sub | none | 0.8729 | code | 0.1122 | null | [] | # MS MARCO Subset
## Purpose
This subset provides a standardized benchmark for evaluating sparse model performance on MS MARCO data, with negative examples pooled using BM25 retrieval.
## Creation
This subset was created using the `make_beir_subset.py` script with the following command:
```bash
python ./make_beir_... | 770 | 5 | normal |
supergoose/flan_combined_task1383_quarel_write_incorrect_answer | none | 0.6782 | code | 0.2035 | null | [] | 0 | 5 | normal | |
tersoai/mixed | none | 0.9703 | code | 0.024 | null | [
"terso",
"manipulation",
"pov-video"
] | # Terso Dataset Export
Exported on 2026-01-23 19:46:55
## Overview
- **Clips**: 1
- **Tasks**: cut
- **Format**: HuggingFace Parquet
## Schema
| Column | Type | Description |
|--------|------|-------------|
| clip_id | string | Unique clip identifier |
| frame_idx | int32 | Frame index within clip |
| timestamp | ... | 757 | 13 | normal |
skylarklerobot/record-skylark-2cam-test-v1 | none | 0.909 | code | 0.0857 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,583 | 4 | normal |
NeutrinoPit/OpenSubtitles2024-en-ar-batch28 | none | 0.6678 | climate | 0.0761 | null | [] | 0 | 4 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_cbd6ccdc-21ba-4132-8e56-dff7ab8e44ec | none | 0.5564 | code | 0.1669 | null | [] | 0 | 5 | normal | |
mlfoundations-dev/d1_code_long_paragraphs_10k_eval_636d | none | 0.8079 | code | 0.1883 | null | [] | # mlfoundations-dev/d1_code_long_paragraphs_10k_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|----------... | 3,017 | 6 | normal |
sajaw/HeteroGPT3K | none | 0.4037 | biology | 0.1645 | null | [] | 0 | 10 | normal | |
WillHeld/bolinas-evals | none | 0.6073 | biology | 0.0945 | null | [] | 0 | 36 | normal | |
noflm/jdd_topic1_20251219-speedonly_sample100 | none | 0.7805 | code | 0.0613 | null | [] | 0 | 8 | normal | |
belumind/en-vi-ja-300k-triplets | none | 0.9935 | code | 0.0028 | null | [] | # EN-VI-JA 300K Triplet Dataset
A high-quality parallel corpus of 300,000 sentence-level aligned triplets across English, Vietnamese, and Japanese.
## Dataset Information
- **Languages:** English (en), Vietnamese (vi), Japanese (ja)
- **Size:** 300,000 triplets
- **Format:** JSONL with `en`, `vi`, `ja` keys
## Data... | 2,093 | 61 | normal |
chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754906297_eval_759d_aime24_normalized_num_prune_ffn_3 | none | 0.9774 | code | 0.0105 | null | [] | # chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754906297_eval_759d_aime24_normalized_num_prune_ffn_3
Precomputed model outputs for evaluation.
## Evaluation Results
### AIME24
- **Average Accuracy**: 3.67% ± 0.57%
- **Number of Runs**: 10
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-------... | 579 | 5 | normal |
erdem-erdem/24-puzzle-game-10k-q-t-format-v0.4 | none | 0.9392 | code | 0.0534 | null | [] | # Dataset Card for "24-puzzle-game-10k-q-t-format-v0.4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 188 | 3 | normal |
cchoi1/eval_humaneval_att_qwen7b_sol_qwen7b | none | 0.9327 | math | 0.0141 | null | [] | 0 | 5 | normal | |
zjrwtxtechstudio/o1data09 | none | 0.4458 | chemistry | 0.1164 | null | [
"camel",
"question-answering"
] | 0 | 15 | normal | |
andrewsiah/PersonaPromptPersonalLLM_197 | none | 0.9756 | code | 0.0172 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_197"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 4 | normal |
akkang321/metabolic_syndrome16_2 | biology | 0.8026 | chemistry | 0.104 | null | [] | 0 | 4 | new_discovery | |
ddecosmo/HW1_Tabular_Dataset | none | 0.8988 | finance | 0.052 | null | [] | # Dataset Card for {{ pretty_name | default("Dataset Name", true) }}
This dataset covers 30 flights leaving Pittsburgh International Airport between 9/7 and 9/27. It includes information on
the airline, weekday, flight time, layovers, days from departure, and price
## Dataset Details
### Dataset Description
<!-- P... | 2,098 | 5 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_36507df5-1b6d-4941-b443-8096d94a7d31 | none | 0.7096 | code | 0.1537 | null | [] | 0 | 4 | normal | |
gjyotin305/Llama-3.2-3B-Instruct_new_alpaca_003_hhexphi_hr_alpaca | biology | 0.8533 | chemistry | 0.0721 | null | [] | 0 | 7 | new_discovery | |
memo-ozdincer/rrfa-data | code | 0.3971 | none | 0.323 | null | [
"circuit-breakers",
"representation-rerouting",
"ai-safety",
"prompt-injection",
"tool-calling",
"agentic",
"tool-flip-attacks",
"fujitsu-b4"
] | # Data Card: Agentic Circuit Breaker Training Data
## Dataset Description
This repository contains processed training data for **Agentic Circuit Breakers** — LoRA adapters trained via Representation Rerouting (RR) to defend against tool-flip attacks in agentic LLMs.
### Dataset Summary
| Component | Description | F... | 12,562 | 172 | boundary |
feedbackagent/llama3_8b_math_test_with_rewards | none | 0.5573 | code | 0.1599 | null | [] | 0 | 4 | normal | |
Shinney/hh-rlhf | none | 0.947 | cybersecurity | 0.0187 | null | [
"human-feedback"
] | # Dataset Card for HH-RLHF
## Dataset Summary
This repository provides access to two different kinds of data:
1. Human preference data about helpfulness and harmlessness from [Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback](https://arxiv.org/abs/2204.05862). These data are ... | 5,724 | 19 | normal |
pxyyy/GPTeacher-General-Instruct | none | 0.9554 | code | 0.0333 | null | [] | # Dataset Card for "GPTeacher-General-Instruct"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 180 | 5 | normal |
tdurbor/background-removal-arena-green | none | 0.5927 | code | 0.113 | null | [] | 0 | 20 | normal | |
narendra960/klomena-parent-IV | none | 0.4642 | biology | 0.2597 | null | [] | 0 | 3 | normal | |
flaitenberger/imagenet-100-LT-removed-data | none | 0.4842 | biology | 0.1589 | null | [] | 0 | 22 | normal | |
svjack/Xiang_white_brief_Flux2_klein_4B_video_samples | none | 0.9317 | cybersecurity | 0.0379 | null | [] | - Use lora from: https://huggingface.co/svjack/Xiang_Flux2_klein_Lora
<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/v0swLpc0fzQHFxZAdcQ7G.mp4"></video> | 215 | 33 | normal |
industoai/HyperNut | chemistry | 0.5933 | none | 0.1936 | null | [
"hyperspectral-imaging",
"anomaly-detection",
"anomaly-segmentation",
"defect-detection",
"food-quality",
"nuts",
"vis-nir",
"computer-vision"
] | # HyperNut: Hyper Spectral Dataset of Nuts for Unsupervised Defect Detection and Segmentation
This is the hyperspectral dataset for anomaly detection and segmentation purposes in nuts, specfically almonds and pistachios.
## Dataset Summary
**HyperNut** is a hyperspectral dataset for **unsupervised defect detection... | 5,809 | 19 | normal |
zjhhhh/iter2_7b_multi_scores_base_18 | none | 0.8325 | code | 0.0403 | null | [] | 0 | 3 | normal | |
PsyMatrix/cls_amazonreviews2013_ReviewsummaryVsReviewscore__BaseBook | none | 0.4541 | biology | 0.2828 | null | [] | 0 | 4 | normal | |
dh-unibe/data-towerbooks-textlines | none | 0.835 | code | 0.0464 | null | [] | 0 | 5 | normal | |
TheFactoryX/edition_0725_lavita-medical-qa-shared-task-v1-toy-readymade | medical | 0.6225 | none | 0.3575 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0725_lavita-medical-qa-shared-task-v1-toy-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[lavita/medical-qa-shared-task-v1-toy](https://huggingface.co/datasets/lavita/medical-qa-shared-task-v1-toy)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking every... | 990 | 5 | normal |
jccj/mh2_step_1_tcp_recovery | none | 0.9079 | code | 0.0881 | 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",
"... | 7,297 | 5 | normal |
ZhMax/baai-infinity-instruct-7m-sft | none | 0.5946 | chemistry | 0.0878 | null | [] | 0 | 13 | normal | |
OALL/details_recoilme__recoilme-gemma-2-9B-v0.2 | none | 0.9701 | code | 0.0247 | null | [] | # Dataset Card for Evaluation run of recoilme/recoilme-gemma-2-9B-v0.2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [recoilme/recoilme-gemma-2-9B-v0.2](https://huggingface.co/recoilme/recoilme-gemma-2-9B-v0.2).
The dataset is composed of 136 config... | 24,838 | 4 | normal |
skchoi1015/QA-Dataset-jobpass | none | 0.3953 | code | 0.176 | null | [] | 0 | 5 | normal | |
shktty/zh-sft | none | 0.5122 | code | 0.1127 | null | [] | 0 | 3 | normal | |
BAAI-DataCube/robomind_benchmark1_0_release_agilex_3rgb_59_steamedbreadlittleoven | none | 0.7263 | code | 0.2597 | null | [] | # benchmark1_0_release_agilex_3rgb_59_steamedbreadlittleoven
This dataset converts the Robomain format uniformly into LeRobot V3.0.
## Dataset Statistics
本体: agilex_3rgb
末端执行器: 夹爪
任务平台显示版: 馒头小烤箱
total_episodes: 161
total_tasks: 1
size: 2.7G
## Dataset Structure
```
├── data
│ └── chunk-xxx
│ ├── file-xxx.par... | 951 | 29 | normal |
A-keven/role-based-question-intent | none | 0.6796 | code | 0.1222 | null | [] | 0 | 4 | normal | |
saeidseyfi/khattat | none | 0.4111 | legal | 0.182 | null | [] | 0 | 5 | normal | |
anirudhb11/oss_120b_med_top_400_hardest_intellect_3_s_100_e_200_4k | none | 0.6945 | code | 0.1552 | null | [] | 0 | 14 | normal | |
usacognition/E2025_02_11_02_05-2025_02_10_esrl_training_data.2 | none | 0.8626 | code | 0.0655 | null | [] | 0 | 2 | normal | |
nikhilr12/synthetic_legal_qna | legal | 0.9975 | none | 0.0014 | legal | [
"legal",
"qa"
] | # Synthetic Legal QnA Dataset
## Dataset Description
This dataset contains 100 synthetic legal question-answer pairs covering various aspects of Indian law including:
- Criminal Procedure Code (CPC/CRPC)
- Indian Penal Code (IPC)
- Evidence Act (IEA)
- Family Law (FLA)
- Corporate Governance (CGR)
- Intellectual Prop... | 1,490 | 5 | normal |
test-gen/code_livecodebench_qwen2.5-7b_t1.0_n8_tests_livecodebench_qwen3-14b_t0.6_n1_think | code | 0.8502 | none | 0.1399 | null | [] | 0 | 5 | new_discovery | |
mlfoundations-dev/a1_code_tiny_codes_eval_636d | none | 0.6797 | code | 0.3163 | null | [] | # mlfoundations-dev/a1_code_tiny_codes_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|-------------|-----... | 2,997 | 5 | normal |
datacomp/imagenet-1k-random-40.0-frac-1over16 | none | 0.8871 | code | 0.0448 | null | [] | 0 | 5 | normal | |
1231czx/llama31_star_2e6_2eptmp10 | none | 0.6709 | biology | 0.0955 | null | [] | 0 | 4 | normal | |
Port-Pilot/PortMIS-QA-Dataset_v2 | none | 0.4053 | code | 0.2957 | null | [] | 0 | 4 | normal | |
ryota39/open_preference_v0.4 | none | 0.5985 | code | 0.33 | null | [] | - This dataset is reformatted version of following datasets
- [ryota39/synthetic-instruct-gptj-pairwise-ja](https://huggingface.co/datasets/ryota39/synthetic-instruct-gptj-pairwise-ja)
- [ryota39/webgpt_comparisons-ja](https://huggingface.co/datasets/ryota39/webgpt_comparisons-ja)
- label 1 stands for chosen senten... | 2,663 | 24 | normal |
adsingh64/true_false_9b | none | 0.649 | code | 0.1318 | null | [] | 0 | 4 | normal | |
WPRM/preference_data_openrlhf_with_urls_len_8k_wo_checklist | none | 0.6913 | code | 0.1032 | null | [] | 0 | 5 | normal | |
dreuter/apps-activations-test | none | 0.5829 | code | 0.1601 | null | [] | 0 | 3 | normal | |
french-open-data/evolution-des-departs-definitifs-de-militaires-sur-24-ans | cybersecurity | 0.7317 | none | 0.2389 | null | [
"definitifs",
"departs",
"evolution",
"militaires",
"dataset_for_agent"
] | # Evolution des départs définitifs de militaires sur 24 ans
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Evolution des départs définitifs de militaires sur 24 ans** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/53699534a3a729239d204... | 863 | 5 | normal |
oscur/automated-traffic-volume-counts | none | 0.9262 | legal | 0.0453 | null | [] | # Automated Traffic Volume Counts
This dataset contains traffic volume counts captured automatically. New York City Department of Transportation (NYC DOT) uses Automated Traffic Recorders (ATR) to collect traffic sample volume counts at bridge crossings and roadways.These counts do not cover the entire year, and the n... | 489 | 11 | normal |
mmmikolajczak/meta_data_annual_reports_tokenized_llama3_8b_with_logged_return_matrix_dropped_null_returns | none | 0.8981 | code | 0.0588 | null | [] | 0 | 15 | normal | |
Xlbully/two-minute-papers | none | 0.9575 | code | 0.0278 | null | [
"whisper",
"whispering",
"base"
] | # Dataset Card for "two-minute-papers"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 171 | 11 | normal |
amphora/qwen-sc-math-fix-15k | none | 0.397 | chemistry | 0.3054 | null | [] | 0 | 4 | normal | |
AI4Protein/GO_MF_AlphaFold2 | chemistry | 0.8904 | biology | 0.1071 | null | [
"protein",
"downstream task"
] | # GO-MF Dataset with AlphaFold2 Structural Sequence
- Description: Molecular Function of Gene Ontology (GO) project.
- Number of labels: 489
- Problem Type: multi_label_classification
- Columns:
- aa_seq: protein amino acid sequence
- foldseek_seq: foldseek 20 3di structural sequence
- ss8_seq: DSSP 8 secondary ... | 1,490 | 25 | new_discovery |
syubraj/ruslanmv_medicalChat_phi3.5_instruct | medical | 0.6113 | none | 0.3547 | null | [
"medical_assistant",
"ai_doctor"
] | ## Use this dataset
```python
from datasets import load_dataset
data = load_dataset("syubraj/ruslanmv_medicalChat_phi3.5_instruct")
```
Source : [ruslanmv/ai-medical-chatbot](https://huggingface.co/datasets/ruslanmv/ai-medical-chatbot) | 238 | 5 | normal |
JingweiNi/train_prm800k_Qwen3-8B_finished_indiverse | none | 0.7024 | code | 0.1184 | null | [] | 0 | 4 | normal | |
skvarre/hopkok-v1 | none | 0.9295 | code | 0.0526 | null | [] | <p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/651d868de1416f6d4894ede9/i63-yQg9aAeOokEtJkLtP.webp" />
</p>
## Dataset Details
Hopkok is a Swedish instruction dataset, consisting of translated examples, synthetically generated examples and Q&A examples collected from the web. ... | 3,251 | 4 | normal |
TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_10k-RL__v1 | none | 0.8191 | code | 0.1413 | null | [] | # Experiment Tracker: FinEval_16k_fulleval_3arg_OT_ours_10k-RL
**Experiment Description:** Simple test experiment for Skill Factory workflows.
**Start Time:** 2025-11-30T22:29:52.494190
**Tracker Dataset:** [TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_10k-RL__v1](https://huggingface.co/datasets/TAUR-dev... | 2,888 | 5 | normal |
test-gen/humaneval_Qwen3-1.7B_t0.6_n1_think_generated_tests | none | 0.5876 | code | 0.3535 | null | [] | 0 | 3 | normal | |
ycfNTU/masum_zeroshot_llama8b_128chunk | none | 0.6231 | biology | 0.1 | null | [] | 0 | 3 | normal | |
Grievous-Robot/advanced-grievous-20260220_112240 | none | 0.9276 | code | 0.0678 | 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 | 12 | normal |
bikashpatra/token_classification_19thJuly | none | 0.603 | climate | 0.1014 | null | [] | 0 | 4 | normal | |
Prachikawtikwar1/phospho | none | 0.7097 | code | 0.1237 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # phospho
**This dataset was generated using [phosphobot](https://docs.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot.
To get started in robotics, [get your own phos... | 366 | 165 | normal |
windcrossroad/GenderQA-LTUAS-caption | none | 0.9741 | biology | 0.016 | null | [] | # Dataset Card for "GenderQA-LTUAS-caption"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 176 | 4 | normal |
rickykwang/rickykwang-data-1209-rl-data | none | 0.7513 | climate | 0.0773 | null | [] | 0 | 7 | normal | |
RZ412/PersonaSignal-PersonalizedResponse-gpt-5-mini | none | 0.9564 | code | 0.0296 | null | [
"curator"
] | <a href="https://github.com/bespokelabsai/curator/">
<img src="https://huggingface.co/datasets/bespokelabs/Bespoke-Stratos-17k/resolve/main/made_with_curator.png" alt="Made with Curator" width=200px>
</a>
## Dataset card for PersonaSignal-PersonalizedResponse-gpt-5-mini
This dataset was made with [Curator](https://g... | 5,667 | 6 | normal |
marcomaccarini/20_ral_2 | none | 0.3437 | biology | 0.1639 | null | [] | 0 | 3 | normal | |
chen196473/amazon_product_2020_metadata | none | 0.9374 | medical | 0.0394 | null | [] | # Enhanced Amazon Product Metadata Index
Comprehensive searchable index containing:
- Base metadata for all products
- Category hierarchy index with aliases
- Price range index with multiple granularities
- Keyword index with enhanced product terms
- Brand index with known brand aliases
... | 578 | 7 | normal |
fionela/fionela-dataset-7946 | none | 0.9743 | code | 0.0151 | null | [] | # fionela-dataset-7946
Processed **subset** dataset for instruction-following experiments.
## Details
- Samples: 257
- Streaming-based sampling (no full download)
- Fields: instruction / input / output
## Source
Derived from: https://huggingface.co/datasets/yahma/alpaca-cleaned
## Notes
- Subset only (not full data... | 352 | 5 | normal |
chips4/vidore_v3_pharmaceuticals_english_compare-contrast_Table | none | 0.5719 | chemistry | 0.2154 | null | [] | 0 | 19 | normal | |
arbitropy/bcoqa_indictrans_qe_scores_labse | none | 0.7306 | chemistry | 0.0759 | null | [] | 0 | 3 | normal | |
Dohyeon1/Pictory-ControlNet-RawDataset-Crayon | none | 0.5541 | code | 0.2373 | null | [] | 0 | 7 | normal |
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