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 |
|---|---|---|---|---|---|---|---|---|---|---|
xNoper/arxiv-test | none | 0.4234 | climate | 0.1716 | null | [] | 0 | 3 | normal | |
Alpaca69B/reviews_appstore_whatsapp_absa2 | none | 0.6546 | finance | 0.0742 | null | [] | 0 | 5 | normal | |
chenhaodev/ocn_oncc_practice_test | none | 0.5592 | code | 0.1509 | null | [] | 0 | 7 | normal | |
connections-dev/connection_queries_jan12_natural_verb_1_reason_None_0.7_8192_Qwen3-30B-A3B-Think | none | 0.9796 | code | 0.0175 | 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**: `Qwen/Qwen3-30B-A3B-Thinking-2507`
- **Server URL**: `http://10.32.37.17:9080`
- **API Key**: `Not provided`
- ... | 1,691 | 7 | normal |
alienit/road-sign-classification | none | 0.7325 | climate | 0.0823 | null | [] | 0 | 7 | normal | |
MathArena/smt_2025_outputs | math | 0.9603 | none | 0.0293 | null | [] | ### Homepage and repository
- **Homepage:** [https://matharena.ai/](https://matharena.ai/)
- **Repository:** [https://github.com/eth-sri/matharena](https://github.com/eth-sri/matharena)
### Dataset Summary
This dataset contains model answers to the questions from SMT 2025 generated using the MathArena GitHub reposit... | 2,401 | 36 | new_discovery |
hadiqaemi/relational-triples-30 | none | 0.5833 | code | 0.1116 | null | [] | 0 | 3 | normal | |
harisarang/benchmark-vidore-v3-computer-science | none | 0.6087 | code | 0.1449 | null | [] | 0 | 18 | normal | |
gokulp01/record11 | none | 0.9382 | code | 0.0566 | 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",
"... | 2,311 | 9 | normal |
codemetic/AEGIS-dataset | none | 0.4055 | climate | 0.1649 | null | [] | 0 | 493 | normal | |
HichTala/deepfruits_5shot_0 | none | 0.5759 | climate | 0.1114 | null | [] | 0 | 10 | normal | |
micahnw/science_fair_5_eps_number_13 | none | 0.9443 | code | 0.0439 | 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",
"... | 2,944 | 8 | normal |
SeppeV/results_joke_gen_mistral_ft_dpo_w_ex_reasoning_prmpt_wo_ex_jo_ensemble_test | none | 0.9053 | biology | 0.0263 | null | [] | 0 | 6 | normal | |
aisi-whitebox/mo1xc_checkpoint_115_ARC-Challenge_cot | cybersecurity | 0.7718 | none | 0.1843 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: mo1xc_checkpoint_115_ARC-Challenge_cot
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-21.
### Model Information
- **Model**: `vllm/checkpoint-115`
- **Model args**: {'port': 36138, 'api_key': 'inspectai'}
##... | 1,522 | 5 | normal |
supergoose/flan_combined_task350_winomt_classification_gender_identifiability_pro | none | 0.9654 | code | 0.01 | null | [] | 0 | 4 | normal | |
fahad7488/LaDe-D | none | 0.974 | code | 0.0117 | null | [
"Spatial-Temporal",
"Graph",
"Logistic",
"Last-mile Delivery"
] | # 1. About Dataset
**LaDe** is a publicly available last-mile delivery dataset with millions of packages from industry.
It has three unique characteristics: (1) Large-scale. It involves 10,677k packages of 21k couriers over 6 months of real-world operation.
(2) Comprehensive information, it offers original package... | 6,408 | 13 | normal |
C-Tianyu/EdiVal | none | 0.6908 | code | 0.2065 | null | [
"image-editing",
"multi-turn-editing",
"instruction-following",
"diffusion-models"
] | # EdiVal: Multi-Turn Image Editing Generations
[**Project Page**](https://tianyucodings.github.io/EdiVAL-page/) | [**GitHub**](https://github.com/TianyuCodings/EdiVal) | [**Paper (arXiv)**](https://arxiv.org/abs/2509.13399)
This repository hosts the data and generated outputs for **EdiVal-Agent**, an object-centric f... | 1,812 | 63 | normal |
Thesho1/ODA-Mixture-500k-copy-17 | math | 0.7964 | none | 0.1385 | 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 | 15 | normal |
dddraxxx/docvqa-val-1k-orig-only | none | 0.3684 | code | 0.1891 | null | [] | 0 | 9 | normal | |
elene234/Qwen2.5-7B-Sudoku-Game-Test | none | 0.5757 | code | 0.3438 | null | [] | 0 | 5 | normal | |
ExplosionNuclear/data_1500_2150 | none | 0.4451 | chemistry | 0.1707 | null | [] | 0 | 4 | normal | |
windfromthenorth/lib90-human-rotate2-part1 | none | 0.8812 | code | 0.1161 | 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",
"... | 2,479 | 82 | normal |
Tony20100/langchain_full | none | 0.4604 | code | 0.2096 | code | [
"python",
"code",
"langchain",
"documentation"
] | 0 | 28 | tag_disagree | |
saillab/alpaca-ukrainian-cleaned | none | 0.8047 | code | 0.1247 | null | [] | This repository contains the dataset used for the TaCo paper.
Please refer to the paper for more details: [OpenReview](https://openreview.net/forum?id=02MLWBj8HP)
If you have used our dataset, please cite it as follows:
**Citation**
```
@inproceedings{upadhayay2024taco,
title={TaCo: Enhancing Cross-Lingual Transfer ... | 1,062 | 46 | normal |
Gopher-Lab/bankless_Starknet_Token_Launch_Is_Here__STRK_ | code | 0.2741 | none | 0.2636 | null | [] | 0 | 3 | boundary | |
igon90/finect-mejores-depositos-2025 | legal | 0.7809 | none | 0.2059 | finance | [
"finance"
] | # Mejores depósitos bancarios en España (2025)
Este dataset recopila información editorial y comparativa sobre los depósitos a plazo fijo más rentables en España en 2025. Incluye contenido generado por Finect y preparado para ser usado por investigadores, desarrolladores de IA y educadores.
**Fuente**: https://www.fi... | 433 | 4 | tag_disagree |
VibeCheck1/VibeCheckAudio_updated1 | none | 0.6447 | code | 0.1553 | null | [] | 0 | 3 | normal | |
d1shs0ap/e3-math-medhard-sft-with-prefix | math | 0.7817 | none | 0.1318 | null | [] | 0 | 4 | normal | |
ClarusC64/healthcare-ward-round-task-completion-coherence-risk-v0.1 | medical | 0.9739 | none | 0.0252 | medical | [
"healthcare",
"wards",
"workflow"
] | What this repo is for
Detect invisible execution gaps after ward rounds.
Tracks alignment between the plan made on rounds and the tasks, orders, tests, and actions completed during the shift.
Helps hospitals prevent missed tasks, delayed care, and avoidable deterioration. | 275 | 17 | normal |
noflm/jdd_topic1_20251225-dc7_s1_df0_c2_sample100 | none | 0.6146 | climate | 0.1515 | null | [] | 0 | 7 | normal | |
paolordls/crosslg-contaminated-benchmark-qa-en-og-sm-0 | none | 0.5676 | biology | 0.1006 | null | [] | 0 | 5 | normal | |
ScaleAI/RaR-Science | medical | 0.6991 | none | 0.239 | null | [] | ## Dataset Summary
**RaR-Science** is a dataset curated for training and evaluating language models on science domain using structured rubric-based supervision. Each example includes a science related question, a reference answer, and checklist-style rubric annotations generated via OpenAI's o3-mini. This dataset is i... | 1,321 | 32 | normal |
arielcerdap/TimeStamped | none | 0.2187 | code | 0.1714 | null | [] | 0 | 20 | normal | |
llm-lab/pixmotrain_caption_14_ar | chemistry | 0.4047 | climate | 0.2672 | null | [] | 0 | 25 | boundary | |
mlburnham/ibm_claimstance_topic_entailment | none | 0.5418 | legal | 0.3149 | null | [] | # Dataset Card for "ibm_claimstance_topic_entailment"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 186 | 11 | normal |
LibreYOLO/people-in-paintings | none | 0.8249 | code | 0.1519 | null | [
"roboflow",
"roboflow-100",
"rf100",
"yolo",
"libreyolo",
"real-world",
"computer-vision",
"bounding-box"
] | # People In Paintings
This dataset is part of the **Roboflow 100** benchmark, a diverse collection of 100 object detection datasets spanning 7 imagery domains.
## Dataset Description
- **Source:** [Roboflow 100](https://github.com/roboflow/roboflow-100-benchmark)
- **Category:** Real World
- **License:** CC-BY-4.0
-... | 2,344 | 2,233 | normal |
ShiningJazz/feedback_assistant_harmlesshelpfulhumor_271_1.25_3_1 | none | 0.7747 | code | 0.1137 | null | [] | 0 | 4 | normal | |
jacobmorrison/olmo-2-1124-13b-preference-mix-chosen-sft | none | 0.7288 | climate | 0.0591 | null | [] | 0 | 4 | normal | |
kienlc1/content_moderator_data | none | 0.578 | code | 0.1176 | null | [] | 0 | 5 | normal | |
syun88/dual_scropion_test_open_case | none | 0.9497 | code | 0.0427 | 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",
"... | 3,040 | 6 | normal |
distilabel-internal-testing/instruction-dataset-prometheus | none | 0.7334 | code | 0.2569 | 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 instruction-dataset-prometheus
This dataset has... | 2,791 | 11 | normal |
ramixpe/new_21feb_llama | none | 0.4478 | climate | 0.1812 | null | [] | 0 | 4 | normal | |
Winboy/twitter_dataset_1718568346 | none | 0.5823 | climate | 0.1201 | null | [] | 0 | 4 | normal | |
TAUR-dev/OT_Ref_NoV13Part___openthoughts__1600000_end1800000__reflection_chunk_1 | none | 0.6559 | code | 0.1464 | null | [] | 0 | 4 | normal | |
reasoning-degeneration-dev/EAS-Qwen3-4B-Thinking-2507-cd8arg-ophint-iterative-64k | none | 0.7755 | math | 0.1685 | null | [
"degen_test_1_countdown",
"budget-65k",
"iterative",
"inference-engine"
] | # EAS-Qwen3-4B-Thinking-2507-cd8arg-ophint-iterative-64k
Countdown reasoning with iterative strategy to 65536 tokens
## Dataset Info
- **Rows**: 100
- **Columns**: 17
## Columns
| Column | Type | Description |
|--------|------|-------------|
| question | Value('string') | The countdown problem statement |
| metada... | 3,872 | 8 | normal |
faezeb/political_prompts_OLMo-2-1124-7B-Instruct_seed_45 | none | 0.7533 | climate | 0.0772 | null | [] | 0 | 5 | normal | |
him1411/problemathic | math | 0.9882 | none | 0.0051 | null | [] | # Dataset Card for ProbleMathic
The ProbleMathic Dataset was introduced in the research paper [Investigating the Robustness of LLMs on Math Word Problems](https://arxiv.org/abs/2406.15444).
This dataset comprises Math Word Problems (MWPs) curated from existing datasets and split on basis of solution complexity.
This ... | 1,749 | 76 | new_discovery |
olimpia20/toxicity-dataset-ro-master | none | 0.3506 | biology | 0.2466 | null | [
"roberta",
"romanian",
"toxicity",
"hate-speech",
"political"
] | 0 | 15 | normal | |
M4U-Benchmark/M4U-mini | none | 0.8253 | code | 0.1703 | null | [] | # M4U: Evaluating Multilingual Understanding and Reasoning for Large Multimodal Models
[[Webpage](https://m4u-benchmark.github.io/m4u.github.io/)] [[Paper](http://arxiv.org/abs/2405.15638)] [[Huggingface Dataset](https://huggingface.co/datasets/M4U-Benchmark/M4U)] [[Leaderboard](https://m4u-benchmark.github.io/m4u.gith... | 4,083 | 43 | normal |
Mihaiii/guess_the_word-3 | none | 0.7927 | code | 0.0728 | null | [] | 0 | 3 | normal | |
MrOvkill/svg-positional-shapes | none | 0.5402 | code | 0.4161 | null | [] | # Summary
This dataset is composed of random SVG shaped polygons each given a caption that specifically mentions the postion and color of objects.
# Checkpoints
**07-14-2024**. Ew, green stuff! - Moldy is now up and running. It's going at about 1 img&desc per second. 16k rows uploaded. P.S. Make that 32k! <3
... | 1,178 | 6 | normal |
hqfx/evol_instruct_zh_gpt4 | chemistry | 0.4029 | climate | 0.2314 | null | [] | 0 | 6 | normal | |
soliscute/Pink_block_4 | none | 0.9056 | code | 0.0898 | 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 | 10 | normal |
ICICLE-AI/organization-sic-code_smart-foodsheds | code | 0.7932 | none | 0.1469 | null | [] | # Organization SIC Code Dataset
This dataset is released as part of the ICICLE project and is used for training models to classify organizations into Standard Industrial Classification (SIC) codes. The dataset contains multiple textual representations of organizational descriptions collected via web search and large l... | 1,434 | 13 | normal |
edwardyeung04/cat_bowl25 | none | 0.9402 | code | 0.0539 | 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 |
danigambit/D_ep10_run0_llama3.1-8b_wiki_doc100_tok25 | none | 0.885 | code | 0.054 | null | [] | 0 | 5 | normal | |
Lots-of-LoRAs/task1201_atomic_classification_xintent | none | 0.8453 | biology | 0.0932 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1201_atomic_classification_xintent
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066
- **... | 2,313 | 87 | normal |
1Nono1/piper_placeparts_2 | none | 0.906 | code | 0.0811 | 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",
"... | 3,544 | 3 | normal |
jmcochrane/HCNLP_CUSTOM_UI_welcoming_tone_scores | none | 0.4508 | climate | 0.1839 | null | [] | 0 | 5 | normal | |
llnl/SurGBSA | chemistry | 0.5647 | biology | 0.1618 | null | [] | # Dataset Card for SurGBSA
<!-- Provide a quick summary of the dataset. -->
<!-- This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). -->
... | 4,713 | 43 | normal |
pbcong/screenspot-v2-test | none | 0.7667 | code | 0.1011 | null | [] | 0 | 33 | normal | |
merileijona/quantum-circuits-8k | none | 0.6218 | chemistry | 0.1579 | null | [
"quantum-computing",
"qasm",
"openqasm",
"quantum-circuits",
"code-generation"
] | # Quantum Circuits 8K Dataset
A synthetic dataset of **8,129 quantum circuit examples** for training language models to generate OpenQASM 2.0 code from natural language descriptions.
## Quick Stats
- **Total Samples:** 8,129 (description → QASM pairs)
- **Unique Circuits:** 739 base circuits
- **Categories:** 92 dis... | 6,723 | 35 | normal |
evanellis/Codeforces-Python_Submissions_reformatted_deduped_llama3.3_with_null | code | 0.486 | none | 0.3266 | null | [] | 0 | 6 | normal | |
Asap7772/elix_multiuser_eval_4shot_infsft5e7_winrate | none | 0.8414 | code | 0.0699 | null | [] | 0 | 5 | normal | |
TTTXXX01/DPO_AceReason-Math_filtered | none | 0.3452 | math | 0.3215 | null | [] | 0 | 5 | normal | |
Rexhaif/MultiWOZ-reponse-choice | none | 0.4978 | code | 0.1261 | null | [] | 0 | 23 | normal | |
danmac1/voice_test6 | none | 0.9338 | code | 0.0629 | null | [
"reset"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.0",
"... | 2,307 | 5 | normal |
french-datasets/shuyuej-French-MMLU-Anatomy-Benchmark | none | 0.6496 | biology | 0.1788 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données huggingface.co/datasets/shuyuej/French-MMLU-Anatomy-Benchmark. | 150 | 4 | normal |
Leonardo6/slake_1k | none | 0.4918 | code | 0.2204 | null | [] | 0 | 5 | normal | |
Jmmlm/Oryeuy | none | 0.2432 | biology | 0.1888 | null | [] | 0 | 4 | normal | |
jspetrisko/slake-simplified | none | 0.3344 | code | 0.2134 | null | [] | 0 | 4 | normal | |
maryzhang/vessels-dataset | none | 0.5186 | medical | 0.2604 | null | [] | # Chinese Porcelain Vessels Dataset
## Dataset Description
### Dataset Summary
The Chinese Porcelain Vessels Dataset is a curated collection of 564 high-resolution images of Chinese porcelain vessels, compiled from manually collected data, public-domain museum archives, and open databases. This foundational dataset i... | 8,968 | 4 | normal |
WaltonFuture/MMR1-in-context-synthesizing | math | 0.826 | code | 0.0879 | null | [
"multimodal",
"llm",
"reasoning",
"unsupervised-learning",
"post-training"
] | This dataset is designed for unsupervised post-training of Multi-Modal Large Language Models (MLLMs) focusing on enhancing reasoning capabilities. It contains image-problem-answer triplets, where the problem requires multimodal reasoning to derive the correct answer from the provided image. The dataset is intended for ... | 614 | 29 | new_discovery |
DGurgurov/javanese_conceptnet | none | 0.8852 | code | 0.1043 | null | [] | ## ConceptNet Data for the Javanese Language
**Dataset Description:**
This dataset contains data extracted from ConceptNet using the dedicated module for fetching knowledge from the graph, available on [GitHub](https://github.com/d-gurgurov/Conceptnet-Embeddings).
**Data Structure:**
The data is converted from triple... | 651 | 21 | normal |
INFERLab/BLUED | none | 0.6831 | climate | 0.1565 | null | [] | ---
tags:
- energy disaggregation
- non-intrusive load monitoring
- time series
- electrical load monitoring
license: unknown # License information was not explicitly stated in the paper, might need clarification.
language:
- en
pretty_name: BLUED (Building-Level fUlly-labeled dataset for Electricity Disaggregation)
--... | 4,580 | 37 | normal |
supergoose/flan_source_task366_synthetic_return_primes_287 | none | 0.8375 | code | 0.0715 | null | [] | 0 | 4 | normal | |
anirudhb11/75_100_rsa_pop_32_k_4_steps_10_v2 | none | 0.6623 | chemistry | 0.1951 | null | [] | 0 | 16 | normal | |
AlignmentResearch/hidden_reasoning_easy_v1_80000 | math | 0.9032 | none | 0.0777 | null | [] | # Arithmetic Hidden Reasoning Dataset
## Dataset Information
This dataset was generated using the arithmetic hidden reasoning dataset generator.
## Generation Configuration
- **Number of examples**: 80000
- **Template**: easy
- **Value range**: [1, 50]
- **Random seed**: 42
- **Output format**: jsonl
- **Repository... | 626 | 5 | new_discovery |
ttt-ttt9/v3-0926-all_forward | none | 0.888 | code | 0.047 | null | [] | 0 | 5 | normal | |
neelabh17/new_news_exploded_prompt_n_5_d_perc_80_num_gen_10_Qwen2.5-3B-Instruct_dist_mcq | none | 0.9697 | code | 0.0228 | null | [] | 0 | 6 | normal | |
beersrobert/livingroom_dataset_v1 | none | 0.6436 | finance | 0.0805 | null | [
"real-world computer-vision image-dataset safety hazard-detection inspection",
"indoor-navigation household-hazards home-safety messy-environments robotics"
] | 0 | 6 | normal | |
sjleslie/MGEN_5K_fakeQs_context_len_2__bs028 | none | 0.5427 | code | 0.285 | null | [] | 0 | 6 | normal | |
momo1942/x_dataset_10290 | none | 0.9224 | code | 0.0347 | null | [] | # Bittensor Subnet 13 X (Twitter) Dataset
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/resolve/main/bittensor.png" alt="Data-universe: The finest collection of social media data the web has to offer">
</center>
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/re... | 5,373 | 88 | normal |
milind27/CO2_Vehicle_Emmisions | climate | 0.3886 | chemistry | 0.2498 | null | [
"code",
"climate"
] | 0 | 11 | boundary | |
kowndinya23/flan2022-4096-256-tasks-fl-25000-instances-gc | none | 0.9936 | code | 0.0037 | null | [] | # Dataset Card for "flan2022-4096-256-tasks-fl-25000-instances-gc"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 199 | 4 | normal |
ryzax/number-manipulation-2000-max1000 | chemistry | 0.315 | none | 0.2697 | null | [] | 0 | 9 | boundary | |
huhucheck/HealthChat | medical | 0.9806 | none | 0.0167 | null | [] | # HealthChat
## Domain: Healthcare
## Perspectives
- Physician
- Nurse
- Pharmacist
- Social Worker
- Physical Therapist
- Psychologist
- Medical Interpreter
- Patient Advocate
- Health Educator
- Parent
## Topics
- Medical conditions
- Treatment Options
- Healthcare Services
- Patient Education
- Preventive Care... | 25,638 | 3 | new_discovery |
aai510-group1/telco-customer-churn | none | 0.677 | finance | 0.1458 | null | [
"tabular-classification",
"churn-prediction",
"telecom",
"customer-retention",
"demographics",
"customer-service"
] | # Dataset Card for Telco Customer Churn
This dataset contains information about customers of a fictional telecommunications company, including demographic information, services subscribed to, location details, and churn behavior. This merged dataset combines the information from the original Telco Customer Churn datas... | 7,336 | 203 | normal |
osama24sy/llama3.2-3b-it-10k-qwen-singleturn-onesolution-r16-24-v0.4 | none | 0.9685 | code | 0.0294 | null | [] | # Dataset Card for "llama3.2-3b-it-10k-qwen-singleturn-onesolution-r16-24-v0.4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 212 | 5 | normal |
nhagar/CC-MAIN-2016-18_urls | none | 0.7231 | code | 0.1908 | null | [] | This dataset contains domain names and counts of (non-deduplicated) URLs for every record in the CC-MAIN-2016-18 snapshot of the Common Crawl. It was collected from the [AWS S3 version](https://aws.amazon.com/marketplace/pp/prodview-zxtb4t54iqjmy?sr=0-1&ref_=beagle&applicationId=AWSMPContessa) of Common Crawl via Amazo... | 503 | 5 | normal |
malexandersalazar/mental-health-depression | medical | 0.9303 | none | 0.0639 | null | [] | This dataset contains 37,441 multilingual expressions related to mental health, specifically focused on depression detection. It was generated using Anthropic's Claude 3.5 Sonnet (`claude-3-5-sonnet-20241022`) through the Message Batches API.
### Dataset Distribution
#### By Language
- Spanish: 6,612 texts (17.66%)
-... | 1,634 | 36 | new_discovery |
DCAgent2/DCAgent2_terminal_bench_2_mlfoundations-dev_staqc-sandboxes-traces-terminus-2_269c593e0 | code | 0.7693 | none | 0.1885 | null | [] | 0 | 9 | normal | |
ruh-ai/false_dataset_thinking_8k | none | 0.715 | code | 0.0903 | null | [] | 0 | 2 | normal | |
syvai/coral-tts-asr | climate | 0.463 | none | 0.181 | null | [] | 0 | 35 | normal | |
HungVu2003/opt-350m_beta_1.0_alpha_0.0_dataset_1_for_gen_1 | none | 0.8209 | biology | 0.081 | null | [] | 0 | 4 | normal | |
osazuwa/dsprite-counterfactual-colored | none | 0.6345 | climate | 0.0764 | null | [] | 0 | 3 | normal | |
CGTec3/searchengine-kie | none | 0.6343 | code | 0.1697 | null | [] | # 搜尋引擎截圖VQA資料集
使用各家搜尋引擎自動化關鍵字搜尋後截圖的VQA資料集
格式如下
```
Q: 這張搜尋結果截圖的查詢內容與第一筆結果是什麼？<image>請回傳JSON格式。
A: {"搜尋內容": "得到聯系完成比較", "搜尋結果": "用孩子的語言，教他們學會分辨「的」和「得」 - 翻轉教育"}
```
為避免噪聲，標記僅涵蓋搜尋結果與第一筆結果；關鍵字為隨機字串生成，Json檔案無遵照常見標記結構，請根據檔案路徑進行匹配
由於Huggingface的API是只下載格式trace到的檔案，使用上請不要透過`datasets`或`huggingface-cli`，直接`git clone https://hu... | 398 | 54 | normal |
test-gen/code_mbpp_Qwen2.5-Coder-0.5B-Instruct_temp0.1_num8_tests_mbpp_sft-0.5B_t0.0_n1 | code | 0.892 | none | 0.0926 | null | [] | 0 | 5 | new_discovery | |
uzair921/LLAMA_SKILLSPAN_EMBEDDINGS_LLM_RAG_50 | biology | 0.4827 | none | 0.3411 | null | [] | 0 | 5 | boundary | |
ay933/ICLE-Iraqi-Cultural-AI | none | 0.9542 | legal | 0.0249 | null | [] | # 🇮🇶 ICLE: Iraqi Cultural & Linguistic Engagement
### *Teaching AI to Respect Context, Uncertainty, and Culture*
## 🌟 The Vision
The **ICLE Framework** is a pioneering initiative designed to bridge the gap between Generic AI and Culturally Intelligent AI, using Iraqi Arabic as a primary case study for Context-Aware... | 1,256 | 8 | normal |
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