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 |
|---|---|---|---|---|---|---|---|---|---|---|
HumbleHumbert/record-test6 | none | 0.7271 | code | 0.1129 | null | [] | # My Visualized Dataset
This dataset contains labeled images of X and Y. | 73 | 10 | normal |
emailmarketingdataset/call-of-gods-players-dataset | none | 0.8854 | finance | 0.0483 | null | [
"crm",
"marketing",
"b2b"
] | # Synthetic B2B Contact Dataset – Call of Gods Players Email List
## Dataset Description
This dataset contains synthetic business contact records representing professionals associated with call of gods players email list.
Datasets like this are commonly used for:
• CRM testing environments
• marketing an... | 1,902 | 12 | normal |
RuoyanLi1/FD-Bench-NS1 | none | 0.3741 | biology | 0.1976 | null | [] | 0 | 4 | normal | |
0xTreasure/humanoid-test-dataset | none | 0.8482 | code | 0.0769 | null | [
"agent"
] | 0 | 7 | normal | |
andrewsiah/PersonaPromptPersonalLLM_929 | none | 0.9688 | code | 0.0235 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_929"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 6 | normal |
ZixuanKe/investing_rule_phi3.5_unsup | none | 0.4951 | chemistry | 0.2061 | null | [] | 0 | 8 | normal | |
shanchen/limo_renamed | none | 0.3415 | chemistry | 0.2646 | null | [] | 0 | 4 | normal | |
duckliu/autoderiveMaster_deprecated | none | 0.3713 | code | 0.2361 | null | [] | 0 | 3 | normal | |
matharotheelf/fast_dancing_data1 | none | 0.9631 | code | 0.0229 | null | [] | feat_static_cat: "index of the static category"
feat_dynamic_real: "alway null for this dataset"
start: "start time always set at same dummy value"
item_id: "identifier id for each
target: "data associated with poses at sequence of times in clip"
- [torso_x_position]
- [torso_y_position]
- [left_arm_angle]
- [righ... | 457 | 10 | normal |
BrandonAL/train_my_svla_so101_pickplace_old | none | 0.9397 | code | 0.0526 | 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",
"... | 3,587 | 37 | normal |
french-datasets/Lots-of-LoRAs_task1575_amazon_reviews_multi_sentiment_classification | none | 0.9715 | biology | 0.0176 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [Lots-of-LoRAs/task1575_amazon_reviews_multi_sentiment_classification](https://huggingface.co/datasets/Lots-of-LoRAs/task1575_amazon_reviews_multi_sentiment_classification). | 261 | 5 | normal |
billhdzhao/alpaca-Qwen2.5-7B-Instruct-ultrachat_200k | none | 0.605 | code | 0.2052 | 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 alpaca-Qwen2.5-7B-Instruct-ultrachat_200k
This ... | 7,832 | 13 | normal |
DCAgent2/dcagent2-terminal-bench-2-dcagent2-freelancer-projects-31k-traces-20251119-113122 | code | 0.4852 | none | 0.4563 | null | [] | 0 | 9 | boundary | |
Knour13/test_datasetv1 | none | 0.4617 | chemistry | 0.1595 | null | [] | 0 | 3 | normal | |
Nano1337/FPS-scores-negative-agreed | none | 0.3847 | biology | 0.2598 | null | [] | 0 | 4 | normal | |
electricsheepafrica/aggregates-characterization-nigeria | none | 0.5619 | chemistry | 0.1571 | null | [
"construction",
"materials",
"aggregates",
"sieve-analysis",
"fineness-modulus",
"specific-gravity",
"water-absorption",
"laterite",
"nigeria",
"africa",
"quarry"
] | # Aggregates Characterization - Nigeria Dataset
## Abstract
This dataset provides synthetic but research-grounded data on aggregate characterization in Nigerian construction based on ASTM C33 standards and local quarry studies. The data encompasses sieve analysis results, fineness modulus, specific gravity, water abs... | 11,186 | 40 | normal |
zjhhhh/generation_for_iter2_fullcheck_multi_part2 | none | 0.7361 | code | 0.1003 | null | [] | 0 | 4 | normal | |
Dxniz/Novelist-CoT | none | 0.9762 | code | 0.017 | null | [
"creative-writing",
"storytelling",
"long-form-generation",
"chain-of-thought"
] | # Novelist-CoT Creative Writing Dataset
## Overview
Novelist-CoT is a long-form creative writing dataset designed for supervised fine-tuning and style-focused narrative generation.
The dataset consolidates multiple generation pipelines into a single unified structure and preserves planning traces (`<think>`) alongs... | 4,676 | 58 | normal |
SolarisCipher/hk_content_corpus | none | 0.9913 | code | 0.0044 | null | [
"corpus",
"Hong Kong",
"diglossia",
"Cantonese",
"Traditional Chinese"
] | # HK Content Corpus (Cantonese \& Traditional Chinese)
## Dataset Description
- **Language:** Hong Kong Cantonese, Traditional Chinese
- **Size:** 9.44GB
- **Source:** public web sources (news sites, online forums, encyclopedia and restaurant reviews).
This dataset contains eight cleaned source-specific corpora of *... | 4,032 | 196 | normal |
kantine/eval_act_so100_testtest5 | none | 0.9169 | code | 0.0769 | null | [
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 3,586 | 38 | normal |
french-datasets/Lots-of-LoRAs_task1576_amazon_reviews_multi_english_language_classification | none | 0.9849 | finance | 0.0046 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [Lots-of-LoRAs/task1576_amazon_reviews_multi_english_language_classification](https://huggingface.co/datasets/Lots-of-LoRAs/task1576_amazon_reviews_multi_english_language_classification). | 275 | 5 | normal |
Asap7772/contextual_attack_prompts_llamagen_fix | none | 0.5832 | cybersecurity | 0.1826 | null | [] | 0 | 4 | normal | |
ilBiondo06/eval_act_so100_movelladot_c2 | none | 0.9297 | code | 0.0666 | null | [
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 3,584 | 7 | normal |
Cartinoe5930/few-shot-qwen-1.8b | none | 0.6922 | chemistry | 0.0753 | null | [] | 0 | 3 | normal | |
reasoning-proj/exp_rob_dfiltered_Llama-3_1-Nemotron-Nano-8B-v1_madversarial_continue_with_wrong_reasoning_t30 | none | 0.5467 | math | 0.2899 | null | [] | 0 | 4 | normal | |
xbilek25/train_30s_speed_1_6720_7560 | none | 0.8606 | code | 0.075 | null | [] | 0 | 3 | normal | |
FrancophonIA/IWSLT_2016 | none | 0.9765 | code | 0.0158 | null | [] | > [!NOTE]
> Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/709/
## Description
The human evaluation (HE) dataset created for English to German (EnDe) and English to French (EnFr) MT tasks was a subset of one of the official test sets of the IWSLT 2016 evaluation campaign. The resulting HE ... | 1,199 | 5 | normal |
StockLlama/USD-EUR-2023-01-01_2024-08-24 | finance | 0.9378 | none | 0.0425 | null | [] | 0 | 3 | new_discovery | |
quickmt/newscrawl2024-en-backtranslated-fa | none | 0.9754 | code | 0.0119 | null | [] | ## NewsCrawl 2023 `en` Translated into `fa`
This dataset is a subset of [NewsCrawl-en-2024](https://data.statmt.org/news-crawl/en/news.2024.en.shuffled.deduped.gz) translated from `en` into `fa` by the [`quickmt/quickmt-en-fa`](https://huggingface.co/quickmt/quickmt-en-fa) model (beam size 4) intended to be used for t... | 558 | 69 | normal |
Beetle-Data/BabyBabel-ukr-50M | none | 0.636 | code | 0.1775 | null | [] | 0 | 14 | normal | |
unileon-robotics/malware-samples | cybersecurity | 0.9781 | code | 0.0125 | null | [
"malware",
"analysis",
"trojan",
"ransomware",
"cape",
"spyware",
"cryptojacking",
"keyloggers",
"RATs",
"APTs",
"static",
"dynamic"
] | 
This dataset is part of the ULE-CIBERLAB Project: Transfer of knowledge in cybersecurity for the country's business fabric, funded by the European Union NextGeneration-EU, Recovery, Transformation an... | 5,725 | 5,583 | new_discovery |
DemoTest0122/ScienceMetaBench02 | none | 0.7194 | chemistry | 0.1433 | null | [] | # ScienceMetaBench
[English](README.md) | [中文](README_ZH.md)
🤗 [HuggingFace Dataset](https://huggingface.co/datasets/opendatalab/ScienceMetaBench) | 🔍 [Dingo](https://github.com/MigoXLab/dingo)
ScienceMetaBench is a benchmark dataset for evaluating the accuracy of metadata extraction from scientific literature PDF... | 9,151 | 39 | normal |
RickRain/Imperius2 | none | 0.9231 | code | 0.0714 | 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",
"... | 3,573 | 5 | normal |
kowndinya23/flan2022-zeroshot-wrong-instr-inpt-outp-50000 | none | 0.4913 | code | 0.2441 | null | [] | 0 | 3 | normal | |
Luna288/image-captioning-FACAD-base | none | 0.4094 | climate | 0.1697 | null | [] | 0 | 6 | normal | |
electricsheepafrica/african-malnutrition-dataset | medical | 0.9319 | none | 0.0625 | medical | [
"medical",
"malnutrition",
"sam",
"africa",
"healthcare",
"growth-monitoring",
"anthropometry"
] | # African Malnutrition (SAM) Synthetic Dataset
## Severe Acute Malnutrition with Comorbidity Patterns
## Abstract
We present synthetic datasets for severe acute malnutrition (SAM) detection and comorbidity screening in African children, generated using literature-informed probabilistic modeling from Zambian cohort st... | 14,523 | 15 | normal |
skyance/forklift_act | none | 0.9348 | code | 0.0599 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 4,061 | 20 | normal |
qfq/eidata_fidelity_cot_improvement_20241026_133617_iter1 | none | 0.8554 | code | 0.047 | null | [] | 0 | 5 | normal | |
cchoi1/humaneval_qwen7b_sol_best_of_200_relabeled_grpo_4000 | none | 0.7125 | chemistry | 0.1176 | null | [] | 0 | 3 | normal | |
Hemg/Emotion-audio-Dataset | none | 0.5741 | climate | 0.1193 | null | [] | 0 | 40 | normal | |
pt-eval/prompts_exp5-9999_5shot_3exp | none | 0.858 | code | 0.072 | null | [] | 0 | 25 | normal | |
hamishivi/open_scholar_rl_no_prompt | none | 0.8086 | code | 0.0574 | null | [] | 0 | 2 | normal | |
mlfoundations-dev/openr1_codeforces_10k_eval_2e29 | none | 0.841 | code | 0.1558 | null | [] | # mlfoundations-dev/openr1_codeforces_10k_eval_2e29
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces | AIME25 | HLE | LiveCodeBenchv5 |
|--------|------|-----|-------|-------|----... | 4,039 | 6 | normal |
kaarthu2003/tts_filtered | none | 0.3477 | climate | 0.2686 | null | [] | 0 | 3 | normal | |
HiFei4869/artbench_expressionism_200_3 | none | 0.6114 | code | 0.0813 | null | [] | 0 | 4 | normal | |
ibm-aimc/boolq | none | 0.4397 | chemistry | 0.2218 | null | [] | 0 | 5 | normal | |
NoahShen/math-llama3.1-8b-inst-safe-rlhf-0710-completions | none | 0.919 | code | 0.051 | null | [] | 0 | 22 | normal | |
younghyopark/test2 | none | 0.9381 | code | 0.0489 | 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",
"... | 5,241 | 4 | normal |
FaalSa/f3_it | none | 0.4343 | biology | 0.2035 | null | [] | 0 | 7 | normal | |
mila-intel/ProtST-Stability | none | 0.4174 | code | 0.1674 | null | [] | 0 | 12 | normal | |
bgspaditya/emotion-song | none | 0.4129 | code | 0.1037 | null | [] | 0 | 3 | normal | |
billxbf/ultrafeedback-sft-iter3 | none | 0.3477 | chemistry | 0.342 | null | [] | 0 | 3 | normal | |
channelcorp/KoMagpie-raw | none | 0.6802 | biology | 0.1227 | null | [] | <div style="max-width: 350px; margin: 0 auto;">
<img src='https://huggingface.co/datasets/channelcorp/KoMagpie-raw-preview/resolve/main/komagpie_logo.png' />
</div>
# KoMagpie-raw-preview 🐦
This is the first, preview version of 🐦 KoMagpie dataset.
## How to use
```python
>>> from datasets import load_dataset
>>>... | 2,647 | 186 | normal |
winnieyangwannan/naturalqa_all_OLMoE-1B-7B-0924-Instruct | none | 0.762 | code | 0.098 | null | [] | 0 | 34 | normal | |
Ibrhm-S/arabic-speech-to-text | none | 0.5408 | biology | 0.0816 | null | [] | 0 | 4 | normal | |
dshush/MSDataSetKGConstruction | none | 0.2106 | code | 0.2083 | null | [] | 0 | 8 | normal | |
cchoi1/bigcodebench-complete_qwen7b_gpt-4o-mini_att_iter0_att10_sol5 | none | 0.4615 | code | 0.2672 | null | [] | 0 | 6 | normal | |
bdsaglam/musique-thesis | none | 0.5308 | chemistry | 0.1626 | null | [] | 0 | 33 | normal | |
freshpearYoon/vr_train_free_31 | none | 0.5205 | climate | 0.1625 | null | [] | 0 | 5 | normal | |
pooja420/eval_record-120-21 | none | 0.9063 | 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": "v3.0",
"... | 2,862 | 8 | normal |
sjelassi/opencode-instruct_100k | code | 0.3527 | none | 0.3071 | null | [] | 0 | 13 | boundary | |
sodabori/20250919_SPBoN_32_0_agg_prod_norm_none_per_token_False_clip_True | none | 0.6666 | code | 0.1247 | null | [] | 0 | 6 | normal | |
tmpmodelsave/type12_8ktype4_2ktype3200tmp07 | none | 0.5923 | code | 0.2625 | null | [] | 0 | 4 | normal | |
paulaandreaiglesias/comentarios_tp_v3 | none | 0.8368 | legal | 0.077 | null | [] | # Comentarios tp v2
Este dataset contiene información para entrenamiento, validación y prueba con propositos academicos. Está dividido en tres conjuntos:
- **train.csv**: Datos de entrenamiento.
- **validation.csv**: Datos de validación.
- **test.csv**: Datos de prueba.
## Columnas del dataset
- `Periodo`... | 3,634 | 4 | normal |
andrewsiah/PersonaPromptPersonalLLM_494 | none | 0.9758 | code | 0.0169 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_494"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 4 | normal |
sjleslie/random_Leslie_types_balanced_0 | biology | 0.8325 | climate | 0.0758 | null | [] | 0 | 5 | new_discovery | |
dh-unibe/towerbooks-plaintext | none | 0.9737 | code | 0.0139 | null | [
"image-to-text",
"htr",
"trocr",
"transcription",
"pagexml"
] | # Dataset Card for towerbooks-plaintext
This dataset was created using pagexml-hf converter from Transkribus PageXML data.
## Dataset Summary
This dataset contains 574 samples across 1 split(s).
## Dataset Structure
### Data Splits
- **train**: 574 samples
### Dataset Size
- Approximate total size: 7,345.08 MB
... | 1,149 | 12 | normal |
archit11/hyperswitch-code-corpus-track-a | code | 0.9944 | none | 0.0045 | code | [
"code",
"rust",
"hyperswitch",
"repo-specific-finetuning"
] | # archit11/hyperswitch-code-corpus-track-a
Repository-specific code corpus extracted from `hyperswitch` and split by file for training/evaluation.
## What is in this dataset
- Source corpus: `data/code_corpus_hyperswitch`
- Total files: 300
- Train files: 270
- Validation files: 30
- Test files: 0
- File type filter... | 3,077 | 31 | normal |
stabgan/level1_tokenised | none | 0.5277 | code | 0.1688 | null | [] | 0 | 19 | normal | |
Lots-of-LoRAs/task1269_ted_translation_fa_he | none | 0.9133 | biology | 0.0554 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1269_ted_translation_fa_he
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066
- **Point of... | 2,305 | 10 | normal |
TAUR-dev/D-SFT_C-skillfactory-ablations__random_reflections5_formatsrandom-sft-data | none | 0.6983 | code | 0.2321 | null | [] | 0 | 3 | normal | |
oumi-ai/oumi-synthetic-document-claims | none | 0.8821 | code | 0.1033 | null | [] | [](https://github.com/oumi-ai/oumi)
[](https://github.com/oumi-ai/oumi)
[](https:... | 16,481 | 18 | normal |
IAlsace/recette_flan_asperges | none | 0.7947 | chemistry | 0.0442 | null | [] | > [!NOTE]
> Dataset origin: https://www.olcalsace.org/fr/autres-publications
## Description
Pour enrichir votre vocabulaire culinaire, une idée d'entrée... | 162 | 3 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_2b1c671b-32b0-42a3-922d-6725b04d4bba | none | 0.6948 | code | 0.1561 | null | [] | 0 | 2 | normal | |
facebook/PLM-Image-Auto | chemistry | 0.3883 | biology | 0.3035 | null | [] | # Dataset Card for PLM-Image Auto
[\[📃 Tech Report\]](https://arxiv.org/abs/2504.13180)
[\[📂 Github\]](https://github.com/facebookresearch/perception_models/)
Sythetic image captions and QAs used in PLM, please refer to the paper, Section 3, for more details. The sythetic annotations covers: SA1B, Openimages, Obejc... | 8,521 | 454 | boundary |
andrewsiah/PersonaPromptPersonalLLM_490 | none | 0.9737 | code | 0.0188 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_490"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 5 | normal |
hewliyang/jenny-tts-tags-6h | none | 0.5221 | chemistry | 0.1256 | null | [] | 0 | 7 | normal | |
Dorjzodovsuren/synthetic_speech_v1 | none | 0.4867 | chemistry | 0.142 | null | [] | 0 | 23 | normal | |
ma008/evaluate | none | 0.4032 | climate | 0.1616 | null | [] | 0 | 4 | normal | |
DCAgent/DCAgent_dev_set_71_tasks_mlfoundations-dev_staqc-sandboxes-traces-terminus-2_20277682489 | none | 0.8896 | code | 0.0822 | null | [] | 0 | 9 | normal | |
kh4dien/pile-uncopyrighted-sample | none | 0.5296 | code | 0.1106 | null | [] | 0 | 10 | normal | |
french-open-data/demandes-d-asile-et-de-statut-d-apatride-deposees-devant-l-ofpra | cybersecurity | 0.9751 | legal | 0.0133 | null | [
"apatride",
"asile",
"demande-dasile",
"demande-de-protection-internationale",
"etrangers-en-france",
"immigration",
"mineurs-non-accompagnes",
"ofpra",
"procedures-accelerees",
"protection-internationale",
"protection-subsidiaire",
"refugie",
"dataset_for_agent"
] | # Demandes d'asile et de statut d'apatride déposées devant l'Ofpra
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Demandes d'asile et de statut d'apatride déposées devant l'Ofpra** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/64b8ede... | 1,201 | 8 | new_discovery |
klamas/multilingual_toxic_lexicon | none | 0.8481 | biology | 0.0979 | null | [
"toxic"
] | # Multilingual Toxic Lexicon
**[2025]** The lexicon is extended to new languages! Now also included: Italian, French, Hebrew, Hindi, Japanese, Tatar. The list is used on [TextDetox 2025](https://pan.webis.de/clef25/pan25-web/text-detoxification.html) shared task.
**[2024]** The compilation for 9 languages (English, R... | 5,207 | 55 | normal |
Thuongg2907/eval_TN5 | none | 0.9296 | code | 0.0646 | 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 | 4 | normal |
SrihariGKS/IndicTTS-Hindi-tags | none | 0.5063 | code | 0.1101 | null | [] | 0 | 19 | normal | |
nsl-uw/IBL_RepeatedSite_heldout | code | 0.3665 | none | 0.227 | null | [] | 0 | 5 | boundary | |
test-gen/humaneval_qwen3-1.7b-easy_t0.0_n1_generated_tests | none | 0.5036 | code | 0.4115 | null | [] | 0 | 4 | normal | |
nouhad/multiplication_train_5x4 | none | 0.7903 | math | 0.1623 | null | [] | # Multiplication Dataset - multiplication_train_5x4
This dataset contains multiplication problems for numbers up to 15x15.
## Dataset Format
- `messages`: User question and assistant answer.
- `ground_truth`: Correct multiplication result.
- `dataset`: "multiplication"
## Hugging Face Dataset Link
➡️ [View dataset ... | 401 | 4 | normal |
RoyYang0714/3D-MOOD | none | 0.4363 | code | 0.2529 | null | [
"3d-object-detection",
"monocular",
"open-set"
] | # 3D-MOOD Dataset
<div align="center">
<img src="https://royyang0714.github.io/3D-MOOD/assets/overview.png" width="100%" alt="3D-MOOD Overview" align="center">
</div>
This dataset is for [3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection](https://arxiv.org/abs/2507.23567). It contains selected image... | 3,688 | 66 | normal |
hongliu9903/stack_edu_rust | code | 0.4144 | none | 0.2282 | null | [] | 0 | 16 | normal | |
alea-institute/kl3m-data-snapshot-20250324 | none | 0.5277 | biology | 0.114 | null | [] | 0 | 239 | normal | |
senicy/day1-mobile-sft-practice | none | 0.6748 | code | 0.1202 | null | [] | 0 | 0 | normal | |
llm-semantic-router/feedback-detector-dataset | none | 0.8495 | cybersecurity | 0.0998 | null | [
"feedback-detection",
"user-satisfaction",
"dialogue",
"customer-service",
"multilingual",
"amd-mi300x"
] | # Feedback Detector Dataset
A large-scale multilingual dataset for 4-class user feedback classification, labeled using GPT-OSS-120B on **AMD MI300X GPU**.
## Dataset Description
This dataset contains **51,694 examples** of user feedback classified into 4 categories:
| Label | Description | Count | % |
|-------|----... | 3,022 | 68 | normal |
saeed11b95/Fintabnet-Logical | code | 0.5912 | none | 0.3863 | finance | [
"table-structure-recognition",
"table-understanding",
"document-ai",
"computer-vision",
"finance"
] | # Fintabnet-Logical
## Dataset Summary
**Fintabnet-Logical** is a derivative of the original [FinTabNet](https://developer.adobe.com/document-services/docs/overview/pdf-extract-api/fintabnet-dataset/) dataset, specifically re-processed to create high-quality ground truth for logical table structure recognition (TSR).... | 5,216 | 223 | tag_disagree |
Magpie-Align/Llama-3-Magpie-Pro-1M-v0.1 | code | 0.5253 | none | 0.4552 | null | [] | 
Project Web: [https://magpie-align.github.io/](https://magpie-align.github.io/)
Arxiv Technical Report: [https://arxiv.org/abs/2406.08464](https://arxiv.org/abs/2406.08464)
Codes: [https://github.com/magpie-align/magpie](https://github.com/magpie-align/magpie)
## Abstract
<details><summar... | 5,273 | 635 | boundary |
dolphinnlp/dataset_tts_vec | none | 0.4584 | climate | 0.1615 | null | [] | 0 | 4 | normal | |
windfromthenorth/libero_expert_14 | none | 0.8877 | code | 0.1082 | null | [
"libero",
"libero_90",
"panda",
"rlds",
"KITCHEN_SCENE2_put_the_middle_black_bowl_on_the_plate"
] | 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",
"... | 2,477 | 4 | normal |
mario-dg/brightfield-microscopy-scc | biology | 0.4689 | chemistry | 0.3268 | biology | [
"biology"
] | # Brightfield Microscopy SCC Dataset
## Dataset Description
The Brightfield Microscopy SCC Dataset contains brightfield microscopy images that have been sliced from 4K resolution images. The cells in the images are labeled with bounding boxes. This dataset is used for training unconditional diffusion models and cell ... | 1,124 | 9 | boundary |
zjhhhh/fullcheck_scores_base_7 | none | 0.6781 | code | 0.124 | null | [] | 0 | 4 | normal | |
timaeus/freelaw_loss_delta_ablation_l1h1 | none | 0.57 | finance | 0.1089 | null | [] | 0 | 3 | normal |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.