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 |
|---|---|---|---|---|---|---|---|---|---|---|
almarinastudio/dataset39 | none | 0.4917 | biology | 0.1026 | null | [] | 0 | 4 | normal | |
pt-eval/eval_ref-llama_5shot_3exp | none | 0.7898 | climate | 0.0529 | null | [] | 0 | 6 | normal | |
sagawa/OrganiX13_text | none | 0.3034 | biology | 0.2125 | null | [] | 0 | 8 | normal | |
otozz/MSA_test_set | none | 0.9096 | code | 0.0701 | null | [] | Pre-processed MSA data based on https://huggingface.co/datasets/mozilla-foundation/common_voice_16_1. | 101 | 11 | normal |
zelalt/great_papers_augmentation_v2 | chemistry | 0.4448 | none | 0.2008 | null | [] | 0 | 8 | normal | |
atreydesai/qgqa-unified-processed-gpt-5-mini | none | 0.5619 | chemistry | 0.0996 | null | [] | 0 | 12 | normal | |
Bossssss/K-fashion | none | 0.4795 | chemistry | 0.1535 | null | [] | 0 | 5 | normal | |
omkarmayekar555/record_test_so101 | none | 0.9338 | code | 0.0622 | 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",
"... | 3,572 | 7 | normal |
YzHuangYanzhen/Amazon-Reviews-2023-SR-L1O-Tools_and_Home_Improvement | none | 0.6634 | code | 0.235 | null | [] | 0 | 8 | normal | |
MrMaxMind99/reformatted-aquarat | none | 0.5594 | code | 0.1857 | null | [] | 0 | 4 | normal | |
Aman229/eval_so100 | none | 0.9236 | code | 0.0696 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=Aman229/eval_so100">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.svg"/>... | 3,245 | 22 | normal |
aisi-whitebox/sevenllm_mcq_en_cot_finetuned_sandbagging_merged_model | none | 0.8696 | cybersecurity | 0.0793 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: sevenllm_mcq_en_cot_finetuned_sandbagging_merged_model
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-07.
### Model Information
- **Model**: `vllm/../merged_model`
### Task Information
- **Tasks**: `deceptio... | 1,533 | 5 | normal |
imaginaryi/fisrt_test | none | 0.5289 | chemistry | 0.128 | null | [] | 0 | 4 | normal | |
chironzjy/audiotrain82 | none | 0.3175 | chemistry | 0.1585 | null | [] | 0 | 3 | normal | |
KingNish/my-distiset | none | 0.8963 | code | 0.0926 | 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
This dataset has been created with ... | 6,626 | 10 | normal |
BarryFutureman/vox2_3D_combined_shard_13 | none | 0.5222 | chemistry | 0.1137 | null | [] | 0 | 3 | normal | |
EYEDOL/naija-voices-igbo-split_0-5 | none | 0.8352 | code | 0.0621 | null | [] | 0 | 622 | normal | |
mahendraphd/Indic_Hindi-English_Parallel_Speech | none | 0.9913 | finance | 0.0037 | null | [
"speech-to-speech-translation",
"speech-translation",
"end-to-end-s2st",
"low-resource",
"hindi",
"english"
] | # Dataset Summary
This repository contains the Hindi–English Speech-to-Speech Translation (S2ST) dataset introduced in the paper:
[Benchmarking Hindi-to-English Direct Speech-to-Speech Translation with Synthetic Data](https://link.springer.com/article/10.1007/s10579-025-09827-2)
The dataset is designed to support re... | 2,437 | 20 | normal |
jakewu/RefSegRS | none | 0.7259 | chemistry | 0.1158 | null | [] | # RRSIS: Referring Remote Sensing Image Segmentation
The RefSegRS dataset that is used in [RRSIS: Referring Remote Sensing Image Segmentation](https://arxiv.org/abs/2306.08625).
Please kindly cite our paper if you find our dataset useful.
~~~
@article{yuan2023rrsis,
title={RRSIS: Referring Remote Sensing Image S... | 481 | 3 | normal |
ihounie/beavertails-4k-preference | none | 0.4712 | finance | 0.0724 | null | [] | 0 | 3 | normal | |
MisDrifter/1005_zjhhhh__qwen2.5_3B_Instruct_min_gap_seed_555134_eta_1e4_step_101 | none | 0.8563 | code | 0.0504 | null | [] | 0 | 5 | normal | |
zhengbang0707/hh_40k | none | 0.9685 | code | 0.0193 | null | [] | # Dataset Card for "hh_40k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 160 | 3 | normal |
gokulsrinivasagan/audio_pretrain_9 | none | 0.459 | chemistry | 0.1284 | null | [] | 0 | 3 | normal | |
jihuny/llama_arena_10k_sky_active_gopt_l1e2 | none | 0.8531 | code | 0.069 | null | [] | 0 | 15 | normal | |
vaidehi99/UnLOK-VQA | cybersecurity | 0.6177 | none | 0.3524 | null | [
"unlearning",
"multimodal",
"LLM",
"NLP",
"vision",
"vqa"
] | ## 📊 Dataset: UnLOK-VQA (Unlearning Outside Knowledge VQA)
**Paper**: [Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation](https://huggingface.co/papers/2505.01456)
**Code**: [https://github.com/Vaidehi99/mmmedit](https://github.com/Vaidehi99/mmmedit)
**Link**: [Dataset Lin... | 1,055 | 67 | normal |
Lots-of-LoRAs/task045_miscellaneous_sentence_paraphrasing | none | 0.9266 | biology | 0.0383 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task045_miscellaneous_sentence_paraphrasing
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066... | 2,318 | 88 | normal |
Angry-Lasagna/eval_greycube_bluebox | none | 0.8958 | code | 0.1002 | 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",
"... | 3,580 | 8 | normal |
math-extraction-comp/Qwen__Qwen2-1.5B-Instruct | math | 0.4653 | none | 0.3253 | null | [] | 0 | 5 | boundary | |
Yuyeong/rw_pubmed_node2vec2_6_public_anonymized | none | 0.7182 | code | 0.1384 | null | [] | 0 | 7 | normal | |
DCAgent/exp_tas_max_tokens_8192_traces | none | 0.6966 | code | 0.104 | null | [] | 0 | 13 | normal | |
nimarez/lerobot-lab-operations-2 | none | 0.9071 | code | 0.0871 | 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 | 5 | normal |
VGraf/unseen_wildchat_eval_subset | none | 0.7658 | climate | 0.1286 | null | [] | 0 | 4 | normal | |
enstazao/mini-platypus1 | biology | 0.3644 | none | 0.2275 | null | [] | 0 | 3 | boundary | |
Hyukkyu/msmarco-hard-negatives-scores | none | 0.8255 | code | 0.0515 | null | [] | 0 | 9 | normal | |
Gopher-Lab/ChatGPT_Prompt_Guide_Webscraper_Example | none | 0.7723 | cybersecurity | 0.1331 | null | [
"scraper",
"webscraper",
"masa",
"ChatGPT",
"PromptGuide"
] | # 🌐 Web Scraper: Turn Any URL into AI-Ready Data
Convert any public web page into clean, structured JSON in one click. Just paste a URL and this tool scrapes, cleans, and formats the content—ready to be used in any AI or content pipeline.
Whether you're building datasets for LLMs or feeding fresh content into agents... | 1,512 | 28 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_5c7d54da-44c5-4003-b768-8f804dfd4ed3 | none | 0.638 | code | 0.1432 | null | [] | 0 | 2 | normal | |
kaiwenw/distill-r1-qwen-1.5b-hmmt-feb-25-4096-with-labels-prm-indices_53760_61440 | none | 0.9048 | biology | 0.05 | null | [] | 0 | 5 | normal | |
lt-s/rsj2025_train_relocate_any_misplaced_blocks_to_their_matching_dishes | none | 0.915 | code | 0.08 | null | [
"so100",
"RSJ2025",
"train"
] | 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",
"... | 3,586 | 12 | normal |
dim/nfs_pix2pix_1920_1080_v5_upscale_2x_raw | none | 0.8462 | climate | 0.0372 | null | [] | 0 | 66 | normal | |
roboflavia/pen1 | none | 0.9437 | code | 0.0502 | 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",
"... | 2,948 | 3 | normal |
Pavankalyan/dummy | none | 0.321 | climate | 0.1275 | null | [] | 0 | 4 | normal | |
hamaada/dataset_ash | none | 0.4104 | climate | 0.1586 | null | [] | 0 | 4 | normal | |
HHS-Official/managed-care-information-for-medicaid-and-chip-ben | medical | 0.9247 | none | 0.0428 | null | [
"hhs",
"cms",
"chip",
"medicaid"
] | # Managed Care Information for Medicaid and CHIP Beneficiaries by Month
## Description
This data set includes monthly enrollment counts of Medicaid and CHIP beneficiaries by managed care participation (comprehensive managed care, primary care case management, MLTSS, including PACE, behavioral health organizations, no... | 1,658 | 5 | new_discovery |
DomainLLM/mc_law_qa | legal | 0.736 | none | 0.1621 | null | [] | 0 | 3 | normal | |
HungVu2003/opt-350m_beta_0.0_alpha_1.0_num-company_2_dataset_0_for_gen_5 | none | 0.8964 | code | 0.034 | null | [] | 0 | 4 | normal | |
RylanSchaeffer/collapse_gemma-2-2b_hs2_accumulate_iter1_sftsd1_temp1_max_seq_len512 | none | 0.688 | chemistry | 0.1389 | null | [] | 0 | 3 | normal | |
reasoning-degeneration-dev/adaevolve-erdos-r1-2island-50iter | none | 0.6437 | biology | 0.2477 | null | [
"adaevolve",
"erdos-min-overlap",
"deepseek-r1",
"evolutionary-search",
"skydiscover"
] | # adaevolve-erdos-r1-2island-50iter
AdaEvolve multi-island evolutionary search on Erdos Min Overlap (C5 bound) benchmark. 2 islands, 50 iterations, DeepSeek-R1 as LLM backbone. Best c5_bound=0.3860 (score=0.9868), target=0.3808. Major breakthrough at iter 28 via Augmented Lagrangian paradigm shift.
## Dataset Info
-... | 9,279 | 12 | normal |
jacobmorrison/rejection_sampling_10627 | none | 0.9022 | code | 0.0801 | null | [] | # allenai/open_instruct: Rejection Sampling Dataset
See https://github.com/allenai/open-instruct/blob/main/docs/algorithms/rejection_sampling.md for more detail
## Configs
```
args:
{'add_timestamp': False,
'hf_entity': 'jacobmorrison',
'hf_repo_id': 'rejection_sampling_10627',
'hf_repo_id_scores': 'scores_10627'... | 1,163 | 4 | normal |
lovesnowbest/agentflanv2 | none | 0.6774 | code | 0.0802 | null | [] | 0 | 20 | normal | |
SamBenji/Sundarbans_SAR | none | 0.3612 | finance | 0.3367 | null | [] | # Dataset Card for Dataset Name
<!-- 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).
## D... | 4,360 | 17 | normal |
kothasuhas/commbin5_debug1-ctx128-32000 | none | 0.5304 | code | 0.2572 | null | [] | 0 | 5 | normal | |
AnandAnubhavDas/Hinglish_text | none | 0.8379 | code | 0.0792 | null | [] | This is the dataset used to train the desi-chat-classifier model | 64 | 5 | normal |
HuayuSha/LLMEval-Med | medical | 0.935 | none | 0.0605 | medical | [
"medical"
] | # LLMEval-Med Dataset
[](https://arxiv.org/abs/2506.04078)
[](https://github.com/llmeval/LLMEval-Med)
## Dataset Descri... | 4,022 | 21 | normal |
LoneWolfgang/ericksonian-core-competencies-multilingual | none | 0.9016 | code | 0.0401 | medical | [
"medical"
] | This dataset is designed to improve the cross-lingual alignment of sentence embeddings related to the work of Milton H. Erickson. Each row contains an English sentence paired with its translation in one of four target languages: French, Spanish, Italian, or Portuguese. The dataset can be used to fine-tune cross-lingual... | 3,175 | 3 | tag_disagree |
apayan/so100_last3 | none | 0.9251 | code | 0.071 | null | [
"so100"
] | 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"... | 4,393 | 17 | normal |
Adarsh203/stirling-chatbot-eval_dataset | none | 0.8029 | code | 0.0517 | null | [] | 0 | 27 | normal | |
satyamsingh190235/guanaco-llama2-1k | none | 0.5076 | biology | 0.1861 | null | [] | 0 | 4 | normal | |
Elfsong/cisco-cr | none | 0.305 | biology | 0.177 | null | [] | 0 | 28 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_2fa5cad7-02f9-41a2-b193-8cff8267cfec | none | 0.6533 | code | 0.1581 | null | [] | 0 | 3 | normal | |
zhenghaoxu/HelpSteer2-trl-style | none | 0.3829 | code | 0.3477 | null | [] | 0 | 6 | normal | |
ThucPD/ViVQA | chemistry | 0.3445 | biology | 0.302 | null | [] | 0 | 113 | boundary | |
bairongz/hh_rlhf_cn_60k | none | 0.472 | chemistry | 0.1598 | null | [] | 0 | 3 | normal | |
dgambettaphd/D_gen5_run0_llama2-7b_xlsum_doc1000_real64_synt64_vuw | none | 0.5404 | code | 0.3968 | null | [] | 0 | 4 | normal | |
DCAgent2/dcagent-dev-set-71-tasks-dcagent-code-contests-sandboxes-traces-terminus-2-ada-94625645 | code | 0.783 | none | 0.2083 | null | [] | 0 | 8 | normal | |
sjleslie/bootstrap_agreement_long_78 | none | 0.4895 | chemistry | 0.1893 | null | [] | 0 | 4 | normal | |
davidbrandfonbrener/color-filtered-c4 | none | 0.9558 | code | 0.0346 | null | [] | # CoLoR-Filtered C4
This repo contains two datasets: `color-filtered-c4-books` and `color-filtered-c4-down` associated with the [CoLoR-Filter paper](https://arxiv.org/abs/2406.10670).
Each dataset is a 64x filtered version of the [C4 dataset](https://huggingface.co/datasets/allenai/c4) from [Raffel et al., 2019](http... | 1,926 | 42 | normal |
mlfoundations-dev/oh-dcft-v3.1-llama-3.1-8b_offline | none | 0.7151 | code | 0.247 | null | [] | 0 | 3 | normal | |
yangwang825/sst2-pwws-7 | none | 0.3911 | climate | 0.2615 | null | [] | 0 | 5 | normal | |
nnul/PubTables-1M_OTSL-v1.1-cleaned | none | 0.4922 | biology | 0.2105 | null | [] | 0 | 6 | normal | |
niavg/GQASmallObj | none | 0.2744 | biology | 0.1704 | null | [] | 0 | 3 | normal | |
felixZzz/len16k_custom_teacher_response-6-student_response | none | 0.7215 | code | 0.1009 | null | [] | 0 | 6 | normal | |
asingh15/arc-barc-processed-direct-max4k-abs-base-no-oracle-0107-absgemini-partial0.8-qwensols-test-1of8 | none | 0.9122 | code | 0.0691 | null | [] | 0 | 7 | normal | |
lots-o/ko-wiki-reranking | none | 0.8723 | code | 0.1042 | null | [] | - [Chang-Su/ko-wiki-250611](https://huggingface.co/datasets/Chang-Su/ko-wiki-250611)을 기반으로 [skt/A.X-4.0](https://huggingface.co/skt/A.X-4.0)을 활용하여 생성 | 149 | 9 | normal |
french-open-data/donnees-descriptives-de-l-activite-de-dragage-portuaire-sur-le-secteur-baie-de-seine-orientale-e | cybersecurity | 0.9599 | none | 0.0359 | null | [
"espaces-proteges",
"gestion-protection",
"habitats",
"habitats-et-biotopes",
"inspire",
"manche-mer-du-nord",
"natura-2000",
"natura-2000-directive-habitats-et-directive-oiseaux",
"politique-environnementale",
"protection-des-espaces-naturels",
"sites-proteges",
"usages",
"zone-marine-prote... | # Données descriptives de l'activité de dragage portuaire sur le secteur Baie de Seine Orientale - Estuaire de la Seine entre 2015 et 2022, Life Marha Action C4, 2024
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Données descriptives de l'activité de d... | 3,801 | 5 | new_discovery |
Asap7772/arc-agi-all-qwen3-4b-samp16-4shards | none | 0.9437 | code | 0.0279 | null | [] | 0 | 25 | normal | |
sandeeppanem/resume-json-extraction-5k | code | 0.9236 | none | 0.0682 | null | [
"information-extraction",
"resume",
"json",
"llm",
"qwen"
] | # Dataset Card for resume-json-extraction-5k
## Dataset Description
This dataset contains 4,879 resume examples formatted for fine-tuning language models to extract structured JSON information from resume text.
### Dataset Summary
The dataset consists of resume text paired with structured JSON outputs containing:
-... | 7,624 | 71 | new_discovery |
sihyun77/eval_suho_angel_10 | none | 0.905 | code | 0.0919 | 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"... | 3,731 | 5 | normal |
andrewsiah/PersonaPromptPersonalLLM_729 | none | 0.9727 | code | 0.018 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_729"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 6 | normal |
scottgeng00/olmo-3-preference-mix-deltas-100k_base_complement-only_chat | none | 0.883 | code | 0.0652 | null | [] | 0 | 4 | normal | |
Agentxxxx/yzl_mixed_inter39400 | climate | 0.2906 | chemistry | 0.2655 | null | [] | 0 | 5 | boundary | |
unography/synth-bg-remove-v14-small | none | 0.5436 | climate | 0.1352 | null | [] | 0 | 8 | normal | |
meluser/llama3_medical_meadow_wikidoc_instruct_dataset | none | 0.6271 | medical | 0.2231 | null | [] | 0 | 4 | normal | |
badrex/ethiopian-speech-flat | none | 0.9913 | medical | 0.0026 | null | [] | # Ethio Speech Copus — Afrivoices Ethiopian
## 📌 Overview
The **Ethio Speech Corpus** dataset is a multilingual speech corpus containing audio–text pairs across five Ethiopian languages.
It is designed to support the development of speech-to-text technologies for low-resource languages.
This dataset is part of the ... | 2,147 | 276 | normal |
sjleslie/bootstrap_agreement_long_48 | none | 0.5055 | chemistry | 0.1782 | null | [] | 0 | 4 | normal | |
dnth/ssf-dataset-synthetic-v4 | legal | 0.6516 | none | 0.2033 | 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 ssf-dataset-synthetic-v4
This dataset has been ... | 28,387 | 8 | normal |
reza-rgb/m1-dpo-preferences | none | 0.5484 | code | 0.1287 | null | [] | 0 | 4 | normal | |
yasnansh/all_docs_train | none | 0.2901 | chemistry | 0.1987 | null | [] | 0 | 35 | normal | |
cchoi1/pylint_logic_multifile_dedup_cleaned_30 | none | 0.5345 | code | 0.2361 | null | [] | 0 | 4 | normal | |
timlenardo/DreamShaper_man_class_images | none | 0.6888 | code | 0.1522 | null | [] | 0 | 3 | normal | |
ptllama/processed_acemath_math | math | 0.3675 | none | 0.266 | null | [] | 0 | 10 | boundary | |
sebdg/go_emotions_sequences | none | 0.5958 | climate | 0.1273 | null | [] | 0 | 59 | normal | |
presencesw/Llama_data_good | none | 0.3969 | biology | 0.3138 | null | [] | 0 | 5 | normal | |
pdf2dataset/10d41687ef441717364f1c4936f48c0a | none | 0.5064 | biology | 0.1631 | null | [] | 0 | 5 | normal | |
czl/yongchun_public_gym | none | 0.868 | finance | 0.0423 | null | [] | # 永春活力館健身房人數 Dataset
The Timestamp is in seconds
Source: https://xysc.teamxports.com/ | 87 | 48 | normal |
electricsheepafrica/open-defecation-patterns-africa | none | 0.6646 | climate | 0.1598 | null | [
"wash",
"water",
"sanitation",
"hygiene",
"africa",
"sub-saharan-africa",
"open-defecation"
] | # Open Defecation Patterns Africa
Dataset containing synthetic household-level data on open defecation practices across Sub-Saharan African countries, including behavioral patterns, seasonal variations, and willingness to change.
## Dataset Structure
| Split | Records |
|-------|---------|
| high_burden | 6,000 |
| ... | 2,774 | 29 | normal |
iproskurina/bias-in-bios-qwen-warmup-iter2-seed5-temp0.6 | none | 0.9045 | code | 0.0468 | null | [] | 0 | 4 | normal | |
vednot25t/last_stop1 | none | 0.9183 | code | 0.0759 | 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",
"... | 3,577 | 8 | normal |
jmvalder/healthcare-qa-dataset-jsonl | medical | 0.9137 | none | 0.0814 | medical | [
"healthcare",
"medical",
"qa",
"question-answering",
"health",
"jsonl"
] | # Healthcare Q&A Dataset (JSONL Format)
This dataset contains 51 healthcare-related question-answer pairs in JSONL format, designed for training conversational AI models in the medical domain.
## Dataset Description
- **Language:** English
- **Task:** Question Answering / Text Generation
- **Domain:** Healthcare and... | 3,023 | 920 | normal |
mlfoundations-dev/reasoning_shard_10 | none | 0.5375 | chemistry | 0.1234 | null | [] | 0 | 5 | normal | |
VGraf/generation_multi_1746310516 | none | 0.8728 | code | 0.1103 | 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': 805,
'dataset_mixer_list': ['VGraf/alpaca_eval_gpt4_baseline', '1.0'],
'dataset_shuffle': True,
... | 2,103 | 3 | normal |
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