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 |
|---|---|---|---|---|---|---|---|---|---|---|
artao/reddit_dataset_158 | none | 0.9318 | code | 0.0297 | null | [] | # Bittensor Subnet 13 Reddit 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/resolve... | 5,046 | 2 | normal |
Marcouy/godd | none | 0.3643 | climate | 0.1365 | null | [] | 0 | 5 | normal | |
jetaudio/tvebooks-md | none | 0.8522 | math | 0.0344 | null | [] | Được tạo từ thư viện ebooks của nhóm TVE (chỉ các file epub)
Text được lưu ở định dạng Markdown trong cột `content`. | 117 | 16 | normal |
Menoviar28/menov121 | none | 0.4763 | biology | 0.2196 | null | [] | 0 | 7 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_362866c6-d16f-4d34-98d6-8cde125fcec1 | none | 0.6584 | code | 0.1651 | null | [] | 0 | 3 | normal | |
Pie33000/cube_50 | none | 0.9161 | code | 0.0766 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=Pie33000/cube_50">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.svg"/>
<... | 2,951 | 23 | normal |
yuxuanw8/summarize_sft-test_lm-pythia1b-oai-summary-adv-323-1-80k_42_250_64 | none | 0.8741 | code | 0.0643 | null | [] | 0 | 5 | normal | |
danjacobellis/LSDIR_512_f16c12_test | none | 0.3918 | code | 0.2771 | null | [] | 0 | 6 | normal | |
SkillFactory/EVAL-cd3args-Qwen2.5-1.5B-Instruct-SkillFactory-SFT | none | 0.779 | code | 0.2052 | null | [
"skill-factory"
] | # Column Details
| Column | Description |
|--------|-------------|
| `question` | The question we want the model to answer |
| `answer` | The string answer |
| `task` | The name of the task the row belongs to |
| `prompt` | The prompt we will feed into the model to solve the question |
| `model_responses` | An array o... | 2,068 | 5 | normal |
Post-training-Data-Flywheel/Open-Orca-SlimOrca | code | 0.4324 | none | 0.3468 | null | [] | 0 | 6 | boundary | |
joeyliang/zh_tw_math | none | 0.5063 | chemistry | 0.1378 | null | [] | 0 | 20 | normal | |
zs389/isic2018Task3Training | none | 0.309 | biology | 0.2543 | null | [] | 0 | 7 | normal | |
LaurenGurgiolo/Music_by_Emotion | none | 0.6297 | medical | 0.2903 | null | [
"music",
"emotion",
"recognition",
"classification"
] | 🎵 Music by Emotion Dataset
Dataset Summary
The Music by Emotion dataset is a custom audio dataset designed for supervised music emotion recognition tasks. It consists of 1,000 music samples, each a 30-second audio clip, sourced from publicly available SoundCloud content.
Each clip is labeled according to its emotion... | 2,765 | 70 | normal |
connections-dev/res_gptoss120b_iterate1_1_None_0.7_4096_claude-3-haiku-20240307_s-1_e10 | none | 0.8422 | code | 0.0936 | null | [] | 0 | 12 | normal | |
s3y/pick-and-place | none | 0.935 | code | 0.0602 | 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 | 4 | normal |
TAUR-dev/test_MEASURESpp__v3_8d_eval | none | 0.4248 | biology | 0.2143 | null | [] | 0 | 5 | normal | |
michsethowusu/kamba-rundi_sentence-pairs | none | 0.9892 | code | 0.0042 | null | [] | # Kamba-Rundi_Sentence-Pairs Dataset
This dataset contains sentence pairs for African languages along with similarity scores. It can be used for machine translation, sentence alignment, or other natural language processing tasks.
This dataset is based on the NLLBv1 dataset, published on OPUS under an open-source ... | 2,811 | 4 | normal |
vourless/gasdxxcbxcbz | none | 0.3541 | chemistry | 0.2223 | null | [] | 0 | 5 | normal | |
Yunan90/486vf | none | 0.2414 | biology | 0.2086 | null | [] | 0 | 5 | normal | |
andrewsiah/PersonaPromptPersonalLLM_665 | none | 0.972 | code | 0.0204 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_665"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 4 | normal |
AlexLoong/S1-MMAlign | chemistry | 0.4842 | none | 0.2884 | null | [
"science",
"multimodal",
"physics",
"biology",
"chemistry",
"engineering",
"large-scale"
] | <h1>S1-MMAlign</h1>
<p><b>A Large-Scale Multi-Disciplinary Scientific Multimodal Dataset</b></p>
**S1-MMAlign** is a large-scale, multi-disciplinary multimodal dataset comprising over **15.5 million** high-quality image-text pairs derived from **2.5 million** open-access scientific papers.
Multimodal learning has... | 3,944 | 34 | normal |
mazzaqq/binary_dataset_wordle_wordlewithclue_aborted | none | 0.8036 | code | 0.0549 | null | [] | 0 | 14 | normal | |
DataoceanAI/Singapore_English_Speech_Recognition_Corpus | none | 0.6768 | cybersecurity | 0.2714 | null | [] | ## Specification:
This dataset is Singaporean English Dialogue, applicable for dual channel for mobile and online calls with sentence segmentation data. It covers Telemarketing Customer Service, Financial Consumption, Common Daily Life Language, Social Hotspots, Travel Shopping, Sports Entertainment, Education Learnin... | 615 | 3 | normal |
thomasavare/waste-classification-audio-deepl-v3 | none | 0.7253 | chemistry | 0.067 | null | [] | 0 | 3 | normal | |
google-research-datasets/natural_questions | none | 0.9516 | code | 0.0254 | null | [] | # Dataset Card for Natural Questions
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-inst... | 9,746 | 26,383 | normal |
simonycl/game-eval-qwen-Qwen3-4B-Base-vs-openai-gpt-4.1-mini-20250715-094045 | none | 0.8352 | code | 0.1537 | null | [] | 0 | 27 | normal | |
NickyNicky/10k_prompts_ranked_all_chatml_json_gemma | none | 0.7175 | math | 0.2469 | null | [] | # tokenizer: google/gemma-2b-it
```
base datasets:
- https://huggingface.co/datasets/DIBT/10k_prompts_ranked
- https://public.graphext.com/0c7677058967c0c3/index.html?section=data
```
```
datasets use:
- NickyNicky/10k_prompts_ranked_all
```
```
# FORMAT EXAMPLE
'''
<bos><start_of_turn>system
You are a prompt ... | 1,555 | 10 | normal |
ArlingtonCL2/Barkopedia-Dog-Vocal-Detection | none | 0.828 | biology | 0.096 | null | [
"audio-event-detection"
] | # 🐾 Dog Vocal Detection
This dataset is curated from internet videos to support research in dog vocalization detection using both weak and strong supervision.
- It contains approximately 7,500 seconds of strongly labeled training audio
- Over 9,000 seconds of weakly labeled clips sourced from AudioSet are included.
-... | 2,437 | 464 | normal |
dohuyen/9k-questions | medical | 0.8859 | none | 0.108 | medical | [
"medical"
] | # Vietnamese Multiple Choice Medical Dataset
## Overview
The Vietnamese Multiple Choice Medical Dataset is a collection of multiple-choice medical questions in Vietnamese language. This dataset was crawled from the Vietjack website, which is a popular online resource for educational materials in Vietnam. The dataset i... | 845 | 3 | normal |
zjhhhh/iter2_7b_min_gap_0.17_final_scores_adversary_11 | none | 0.8543 | code | 0.0556 | null | [] | 0 | 3 | normal | |
plektos/Tatoeba.en-es | none | 0.8893 | biology | 0.0756 | null | [] | # Dataset Card for "Tatoeba.en-es"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 167 | 5 | normal |
DCAgent2/DCAgent2_bfcl-parity_DCAgent_taskmaster2-3k-traces_20260301_071811 | none | 0.8136 | chemistry | 0.0739 | null | [] | 0 | 19 | normal | |
GitBag/ultrainteract_multiturn_1_iter_5_turns_only_ckp_3 | none | 0.7104 | code | 0.1502 | null | [] | 0 | 3 | normal | |
infinex/yourbench-simple-example | code | 0.4973 | none | 0.315 | null | [] | 0 | 5 | normal | |
OrionLLM/OpenCodeReasoning-mini | code | 0.9957 | none | 0.0027 | code | [
"code"
] | # OpenCodeReasoning-mini
OpenCodeReasoning-mini is a small subset of [OpenCodeReasoning](https://huggingface.co/datasets/nvidia/OpenCodeReasoning). OpenCodeReasoning-mini is designed for supervised fine-tuning (SFT).
## Dataset Composition
This dataset contains a balanced collection of:
- **10,000 Python examples**
... | 345 | 23 | normal |
reasoning-degeneration-dev/t1-skillrl-alfworld-gpt-5-dryrun01 | none | 0.9657 | code | 0.0145 | null | [
"skillrl_testing",
"alfworld",
"agentic_evaluation"
] | # t1-skillrl-alfworld-gpt-5-dryrun01
**ALFWorld** agentic evaluation for SkillsRL testing.
The model operates as an autonomous agent in a text-based household environment,
completing tasks such as picking, cleaning, heating, cooling, and examining objects.
## Results
| Metric | Value |
|--------|-------|
| Success ... | 1,028 | 20 | normal |
JingweiNi/magpie_creative_dedup_filtered_checklist_train_v1_1_of_4 | none | 0.8388 | code | 0.073 | null | [] | 0 | 8 | normal | |
Lyrasilas/eval_ep1000_seedNone_circle_big_30000_ppo_circle_big | none | 0.9447 | 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",
"... | 2,710 | 53 | normal |
NiryoRobotics/eval_0027 | none | 0.8925 | code | 0.1009 | 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",
"... | 4,306 | 5 | normal |
jvelja/apps_backdoored_round_000000 | none | 0.5836 | code | 0.1397 | null | [] | 0 | 4 | normal | |
r1v3r/regex_validated | none | 0.4453 | code | 0.2321 | null | [] | 0 | 4 | normal | |
ZixuanKe/ectsum_case | none | 0.9092 | code | 0.0297 | null | [] | # Dataset Card for "ectsum_error"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 166 | 14 | normal |
arkays/mrpc-small | code | 0.4991 | none | 0.4095 | null | [] | # Dataset Card for mrpc-small
### Dataset Summary
A total of 9 samples from mrpc was extracted and a new dataset was created for demo purposes | 144 | 5 | boundary |
Lyric1010/infinity-instruct-merge | none | 0.9551 | code | 0.0342 | null | [
"text",
"pretraining"
] | # Dataset: infinity-instruct-merge
This dataset was uploaded from `/mnt/yulan_pretrain/mount/data_final_train_qwen3/infinity-instruct-merge/stage_1`. | 150 | 16 | normal |
timaeus/pythia-160m-pile-1m-ig-l9h5 | none | 0.367 | chemistry | 0.3525 | null | [] | 0 | 4 | normal | |
luna-code/numpy | code | 0.3444 | none | 0.2435 | null | [] | 0 | 104 | boundary | |
mlfoundations/dclm-baseline-1.0-parquet | code | 0.509 | none | 0.474 | null | [] | ## DCLM-baseline
***Note: this is an identical copy of https://huggingface.co/datasets/mlfoundations/dclm-baseline-1.0, where all the files have been mapped to a parquet format.***
DCLM-baseline is a 4T token / 3B document pretraining dataset that achieves strong performance on language model benchmarks.
Below are... | 6,473 | 8,443 | boundary |
vihaan43/my-distiset-30e488a7 | none | 0.8046 | code | 0.1369 | 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-30e488a7
This dataset has been crea... | 1,709 | 7 | normal |
skandermoalla/qrpo-paper-mistral-nosft-magpieair-armorm-temp1-ref50-offpolicy2random-armorm | none | 0.7672 | code | 0.0876 | null | [
"reinforcement-learning",
"alignment",
"qrpo"
] | # qrpo-paper-mistral-nosft-magpieair-armorm-temp1-ref50-offpolicy2random-armorm
Dataset with reference completions and rewards for a specific model and reward model, ready for training with the **QRPO reference codebase** (https://github.com/CLAIRE-Labo/quantile-reward-policy-optimization).
Part of the dataset collec... | 481 | 46 | normal |
TheReverand/record-testv2 | none | 0.9298 | code | 0.0641 | 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",
"... | 2,861 | 24 | normal |
mastermani305/tts-text-tags-v1 | none | 0.6694 | code | 0.0893 | null | [] | 0 | 4 | normal | |
swissnp/llama_response_to_get_response_llama_top1_reprocessed | none | 0.6353 | climate | 0.1596 | null | [] | 0 | 4 | normal | |
reasoning-proj/exp_rob_dfiltered_science_QwQ-32B_madversarial_continue_with_wrong_reasoning_t10 | none | 0.7523 | code | 0.1192 | null | [] | 0 | 26 | normal | |
sanjanamelkote/ff_model_blindspots | none | 0.8832 | code | 0.0834 | null | [] | # Blind Spots of a Small Korean–English Base Language Model
## Model Tested
This dataset documents systematic failure cases observed when experimenting with the base language model:
**Gumini-1B-Base**
https://huggingface.co/GuminiResearch/Gumini-1B-Base
Gumini-1B-Base is a small bilingual Korean–English language ... | 6,335 | 16 | normal |
Torch-Trade/bnbusdt_perp_basis_1m_10_2021_to_02_2026 | finance | 0.9948 | none | 0.0041 | finance | [
"finance",
"cryptocurrency",
"bnb",
"trading",
"basis",
"premium-index",
"derivatives",
"binance"
] | # BNBUSDT Perpetual Futures-Spot Basis (1 2021 - Mar 2026)
## Overview
1-minute premium index (futures-spot basis) data for the **BNB/USDT perpetual futures** contract on Binance, covering **October 1, 2021** to **February 28, 2026**.
- **Rows**: 2,318,331
- **Completeness**: 99.87%... | 3,796 | 19 | normal |
timaeus/freelaw_loss_delta_ablation_l1h0 | none | 0.5814 | finance | 0.1061 | null | [] | 0 | 3 | normal | |
Neelectric/Replay_0.03.MoT_science.wildguardmix.Llama3_4096toks | none | 0.523 | biology | 0.2587 | null | [] | 0 | 10 | normal | |
lemin62/koch_dual_camera | none | 0.556 | chemistry | 0.2125 | null | [] | 0 | 4 | normal | |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_r2egymGPT5CodexPassed-nl2bash-bugsseq_Qwen3-8B4957bcd4 | code | 0.5766 | none | 0.3143 | null | [] | 0 | 10 | normal | |
yundog/breathe-sft | none | 0.4415 | climate | 0.1543 | null | [
"instruction-tuning",
"reasoning"
] | 0 | 19 | normal | |
fecasado/blueberry-cubes | none | 0.9782 | code | 0.0176 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 5,822 | 56 | normal |
modanqing/ur5_pick_place_test15 | none | 0.8481 | code | 0.1439 | 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",
"... | 3,437 | 31 | normal |
TenzinGayche/ultra-chat-llong | none | 0.7428 | cybersecurity | 0.0506 | null | [] | 0 | 7 | normal | |
alt-gnome/telegram-spam | none | 0.807 | code | 0.0709 | null | [] | 0 | 58 | normal | |
adriankobras/put_stapler_in_box_abs_test | none | 0.9592 | code | 0.0353 | 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",
"... | 4,992 | 24 | normal |
juanmoisesdelas/base-de-datos-numero-de-estudiantes-por-nivel-educativo-en-latinoamerica-2000-20 | none | 0.9622 | legal | 0.0262 | null | [
"open-data",
"research",
"latin-america",
"juan-moises-de-la-serna"
] | # base-de-datos-numero-de-estudiantes-por-nivel-educativo-en-latinoamerica-2000-20
**Mirror:** [github.com/juanmoisesd/base-de-datos-numero-de-estudiantes-por-nivel-educativo-en-latinoamerica-2000-20](https://github.com/juanmoisesd/base-de-datos-numero-de-estudiantes-por-nivel-educativo-en-latinoamerica-2000-20)
**Au... | 3,426 | 4 | normal |
geoskyr/multi_eurlex_greek | none | 0.6068 | chemistry | 0.1583 | null | [] | 0 | 20 | normal | |
freococo/650k_sanadset | none | 0.9472 | legal | 0.0357 | null | [
"hadith",
"islamic-studies",
"religion",
"nlp",
"sanad",
"narrators"
] | # Sanadset 650K: Data on Hadith Narrators
## Dataset Description
**Sanadset** is a large-scale dataset containing over **650,986** Hadith records collected from 926 historical Arabic books. This dataset was created to assist in the computational analysis of Islamic Hadiths, specifically focusing on the chain of narra... | 67,953 | 34 | normal |
baysonfox/AIME2026-I | math | 0.7762 | chemistry | 0.1182 | null | [] | # AIME 2026 Dataset
## Dataset Description
This dataset contains problems from the American Invitational Mathematics
Examination (AIME) 2026-I. | 145 | 12 | normal |
zjhhhh/game_stage3_train_zjhhhh__qwen2.5_3B_Instruct_min_stage3_seed_555134_eta_1e4_step_382_final | none | 0.9451 | code | 0.0402 | null | [] | 0 | 4 | normal | |
YYT-t/gsm8k-rollout | none | 0.5633 | code | 0.2036 | null | [] | 0 | 6 | normal | |
zlj666/so101_test | none | 0.9226 | code | 0.0699 | null | [
"so101",
"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",
"... | 3,580 | 11 | normal |
DJAmazon/swahili-base | none | 0.67 | code | 0.1812 | null | [] | 0 | 23 | normal | |
deepmage121/ShareGPT_multilingual | none | 0.8547 | code | 0.115 | null | [] | This dataset contains a filtered version of [ShareGPT](https://huggingface.co/datasets/Aeala/ShareGPT_Vicuna_unfiltered) which removes questions with turn lengths which were larger than 2048 tokens (according to the Gemma3 4b tokenizer).
This was done to prevent outliers while translating and setting a reasonable max-m... | 1,046 | 15 | normal |
N-o-1/pokemon-images | none | 0.7655 | cybersecurity | 0.0764 | null | [
"pokemon"
] | # Pokemon Competitive Team Dataset
A curated image dataset featuring 6 specific Pokemon commonly used in competitive play: Arceus, Marshadow, Sandy Shocks, Slaking, Reshiram, and Magearna. This dataset is designed for training computer vision models to recognize these Pokemon in various contexts.
## Dataset Overview
... | 7,900 | 45 | normal |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_Qwen_Qwen3-1.7B_20251123_105252 | none | 0.7424 | biology | 0.1683 | null | [] | 0 | 8 | normal | |
cheryyunl/MomaGraph-Bench | none | 0.2759 | chemistry | 0.1767 | null | [] | 0 | 270 | normal | |
lt-s/rsj2025_eval_move_red_block_tray_to_red_dish_flip | none | 0.9329 | code | 0.0631 | null | [
"so100",
"RSJ2025",
"eval"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 3,585 | 25 | normal |
pdf2dataset/20b7c8bb15c7e33db7004f3434a73a13 | none | 0.6069 | biology | 0.1206 | null | [] | 0 | 3 | normal | |
fionela/fionela-dataset-1497 | none | 0.9769 | code | 0.0127 | null | [] | # fionela-dataset-1497
Processed **subset** dataset for instruction-following experiments.
## Details
- Samples: 210
- Streaming-based sampling (no full download)
- Fields: instruction / input / output
## Source
Derived from: https://huggingface.co/datasets/databricks/databricks-dolly-15k
## Notes
- Subset only (no... | 363 | 5 | normal |
mlfoundations-dev/AM-DeepSeek-R1-Distilled-1.4M-am_0.9M | none | 0.5527 | code | 0.3427 | null | [] | 0 | 4 | normal | |
Jinn686/record-Imran-All2 | none | 0.8887 | code | 0.105 | 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",
"... | 2,862 | 17 | normal |
CleverThis/uniprot | biology | 0.935 | chemistry | 0.0535 | null | [
"rdf",
"knowledge-graph",
"semantic-web",
"triples"
] | # UniProt RDF
## Dataset Description
Comprehensive protein knowledgebase with functional annotations
**Original Source:** ftp://ftp.uniprot.org/pub/databases/uniprot/current_release/rdf/uniprotkb_reviewed_eukaryota_opisthokonta_metazoa_33208_0.rdf.xz
### Dataset Summary
This dataset contains RDF triples from UniPr... | 7,922 | 31 | new_discovery |
ryzax/train_v2 | climate | 0.2845 | none | 0.2523 | null | [] | 0 | 4 | boundary | |
SayantanJoker/IndicVoices_R_Hindi_Gender0_Age0_quality | none | 0.636 | code | 0.2358 | null | [] | 0 | 4 | normal | |
atrost/MATH-50-chunk-4 | none | 0.444 | chemistry | 0.1634 | null | [] | 0 | 28 | normal | |
krishnakalyan3/flux-dev-oneimage | none | 0.3376 | chemistry | 0.1583 | null | [] | 0 | 2 | normal | |
ruben3010/math-textbooks-gpt-4o-mini | math | 0.834 | none | 0.1173 | 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 math-textbooks-gpt-4o-mini
This dataset... | 2,844 | 3 | new_discovery |
iggy12345/flores-ipa-hin-deva | none | 0.624 | finance | 0.0746 | null | [] | 0 | 12 | normal | |
mesolitica/malaysian-politician-hansard-style | none | 0.6332 | legal | 0.2908 | null | [] | # Malaysian politician Hansard style
Original dataset at https://huggingface.co/datasets/malaysia-ai/crawl-malaysian-hansard, we combine each 2 pages and parse it to QA session with topic. | 189 | 4 | normal |
BeastyZ/E5-R | code | 0.8394 | none | 0.1395 | null | [] | Training data for [e5-R-mistral-7b](https://huggingface.co/BeastyZ/e5-R-mistral-7b). Code is [here](https://github.com/LeeSureman/E5-Retrieval-Reproduction). | 157 | 57 | new_discovery |
Zack49/gym_lowcost_reach_500_im | none | 0.9075 | code | 0.0769 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version"... | 3,058 | 10 | normal |
danjung9/24679-Project1-aug | none | 0.3702 | climate | 0.2358 | null | [] | 0 | 5 | normal | |
YYYYYYibo/ultrafeedback_binarized_imp_sam_vllm_part_2 | none | 0.9826 | biology | 0.0064 | null | [] | # Dataset Card for "ultrafeedback_binarized_imp_sam_vllm_part_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 197 | 5 | normal |
rakshya34/filtered_voice_english_v1.3 | none | 0.7875 | code | 0.0453 | null | [] | 0 | 5 | normal | |
aisc-team-d1/PMC-CaseReport-Finetuning | none | 0.3214 | code | 0.1555 | null | [] | 0 | 6 | normal | |
gigant/tib-bench-mm-part3 | none | 0.7284 | code | 0.0962 | null | [] | 0 | 6 | normal | |
pripro/imo-2025 | math | 0.9924 | chemistry | 0.0038 | math | [
"mathematics",
"olympiad",
"problem-solving",
"competition-math"
] | # IMO 2025 Problems Dataset
This dataset contains the 6 problems from the 2025 International Mathematical Olympiad (IMO). The problems are formatted with proper LaTeX notation for mathematical expressions.
## Dataset Structure
Each example contains:
- `id`: Problem identifier (e.g., "2025-imo-p1")
- `problem`: The p... | 2,268 | 7 | normal |
lwachowiak/xai-questions-dataset | none | 0.5867 | code | 0.3883 | null | [
"robotics",
"HRI",
"explainability",
"agent",
"NLP",
"language"
] | Explore the questions users have for robots across a diverse set of situations!
You can read the paper here: [**What Questions Should Robots Be Able to Answer? A Dataset of User Questions for Explainable Robotics**](https://arxiv.org/abs/2510.16435)!
```python
from datasets import load_dataset
dataset = load_datase... | 2,835 | 9 | normal |
andrewsiah/PersonaPromptPersonalLLM_386 | none | 0.9798 | code | 0.0137 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_386"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 4 | normal |
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