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 |
|---|---|---|---|---|---|---|---|---|---|---|
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent_r2egymGPT5CodexPassed-nl2adc1eebc | none | 0.6821 | code | 0.1788 | null | [] | 0 | 11 | normal | |
DCAgent/DCAgent_dev_set_71_tasks_DCAgent_code-contests-sandboxes-traces-terminus-2_adamf1f9a881 | code | 0.7142 | none | 0.2716 | null | [] | 0 | 10 | normal | |
mlfoundations-dev/nemo_nano_0.3k | none | 0.4163 | chemistry | 0.3392 | null | [] | 0 | 4 | normal | |
nbalepur/QG_vs_QA_AE_true | none | 0.9802 | code | 0.0094 | null | [] | # Dataset Card for "QG_vs_QA_AE_true"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 170 | 4 | normal |
1rsh/product-ner | none | 0.4861 | chemistry | 0.1361 | null | [] | 0 | 13 | normal | |
silverlife/move_pikachu | none | 0.8871 | code | 0.1029 | 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",
"... | 4,178 | 123 | normal |
britllm/TransWeb-Edu-German | none | 0.4902 | biology | 0.0981 | null | [] | 0 | 824 | normal | |
taiwoifedayo/items_raw_lite | none | 0.4048 | code | 0.1432 | null | [] | 0 | 17 | normal | |
Thesho1/ODA-Mixture-500k-copy-70 | math | 0.7903 | none | 0.1418 | 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 | 5 | normal |
yanmingyu/r-packages-contrastive | none | 0.4141 | chemistry | 0.1551 | null | [] | 0 | 3 | normal | |
RLHF4MATH/prompt_iter3 | none | 0.7497 | chemistry | 0.1447 | null | [] | # Dataset Card for "prompt_iter3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 166 | 3 | normal |
bamshyd/bams62 | none | 0.443 | chemistry | 0.1676 | null | [] | 0 | 4 | normal | |
SanctumAI/Coingecko-Functions | none | 0.5368 | code | 0.1491 | null | [] | 0 | 8 | normal | |
ljvmiranda921/details_msde-allenai_Olmo-3-1125-32B-lora-4bit-msde-S1-es_gemma-3-27b-it | none | 0.9773 | code | 0.0085 | null | [] | # Dataset Card for Evaluation run of ljvmiranda921/msde-sft-dev
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [ljvmiranda921/msde-sft-dev](https://huggingface.co/ljvmiranda921/msde-sft-dev).
The dataset is composed of 14 configuration, each one corr... | 6,791 | 13 | normal |
laion/swesmith-unified-10000 | none | 0.6105 | code | 0.1265 | null | [] | 0 | 0 | normal | |
Yaredoffice/geez-characters | none | 0.954 | cybersecurity | 0.022 | null | [
"ocr",
"handwriting-recognition",
"ethiopic",
"geez",
"amharic",
"character-recognition"
] | # Amharic (Geʽez) Handwritten Character Dataset (32×32)
## Dataset Details
### Description
This dataset contains handwritten images of Amharic (Geʽez script) characters intended for character-level Optical Character Recognition (OCR) and handwriting recognition research.
| Property | Value |
|----------|-------|
| ... | 4,943 | 15 | normal |
Taywon/alpaca_Llama-3.1-8B-Instruct_octopus_paraphrased_greedy | none | 0.6268 | code | 0.1748 | null | [] | 0 | 7 | normal | |
colabfit/datasets_for_magnetic_MTP_NatSR2024_training | chemistry | 0.982 | none | 0.0139 | null | [
"molecular dynamics",
"mlip",
"interatomic potential"
] | ### <details><summary>Cite this dataset </summary>Kotykhov, A. S., Gubaev, K., Hodapp, M., Tantardini, C., Shapeev, A. V., and Novikov, I. S. _datasets for magnetic MTP NatSR2024 training_. ColabFit, 2024. https://doi.org/10.60732/9d635e27</details>
#### This dataset has been curated and formatted for the ColabFit Ex... | 2,529 | 5 | new_discovery |
iwaswarned/record-test | none | 0.9457 | 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": "v3.0",
"... | 2,943 | 15 | normal |
SunJincheng/paper2_torque_data2 | none | 0.5076 | chemistry | 0.2006 | null | [] | 0 | 3 | normal | |
DCAgent2/DCAgent2_terminal_bench_2_DCAgent_freelancer-projects-gpt5mini_20251208_133832 | code | 0.7806 | none | 0.1735 | null | [] | 0 | 9 | normal | |
mlfoundations-dev/10k_globalbatchsize128_lr4e5_epochs7_eval_636d | none | 0.9479 | code | 0.0487 | null | [] | # mlfoundations-dev/10k_globalbatchsize128_lr4e5_epochs7_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|-... | 3,021 | 5 | normal |
dadu/long-context-patternized | none | 0.4216 | code | 0.2499 | null | [] | 0 | 6 | normal | |
DCAgent2/DCAgent2_terminal_bench_2_DCAgent_nl2bash-nl2bash-bugsseq_Qwen3-8B-maxEps24-11203c1ce06 | none | 0.6354 | code | 0.1956 | null | [] | 0 | 13 | normal | |
ungol/WasteWise | none | 0.6243 | code | 0.1561 | null | [] | # Trash Classification Project
## Overview
This project focuses on trash classification using machine learning, leveraging multiple datasets with a total of 8,895 images from diverse sources.
## Datasets
### 1. Drinking Waste Classification
- **Images**: 4,832
- **Organization**: Directory-based sorting
- **Classes... | 4,203 | 394 | normal |
publication-charaf/MNLP_M3_mcqa_dataset_oa | none | 0.3961 | chemistry | 0.2564 | null | [] | 0 | 4 | normal | |
kovalenko-nk-22/my-dataset-2 | none | 0.668 | climate | 0.0829 | null | [] | 0 | 3 | normal | |
mteb/KLUE-NLI | none | 0.9823 | code | 0.009 | null | [
"mteb",
"text"
] | <!-- adapted from https://github.com/huggingface/huggingface_hub/blob/v0.30.2/src/huggingface_hub/templates/datasetcard_template.md -->
<div align="center" style="padding: 40px 20px; background-color: white; border-radius: 12px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); max-width: 600px; margin: 0 auto;">
<h1 styl... | 5,451 | 5 | normal |
vaibhavad/tulu-3-sft-mixture-hard-negative-llama-3b | none | 0.9223 | code | 0.0411 | null | [] | 0 | 23 | normal | |
mlfoundations-dev/b2_code_all_top_4_fuzzy | code | 0.5617 | none | 0.3323 | null | [] | 0 | 6 | normal | |
tangyx/FB13_replace | none | 0.7457 | code | 0.2129 | null | [] | # FB13
This dataset contains the replaced version of FB13,
where all entities are mapped to ENT1..ENTn and relations to REL1..RELm. | 131 | 8 | normal |
yooweey/AugmentedIRSTD1kTestset | none | 0.4742 | code | 0.2989 | null | [] | To further investigate algorithm performance in complex scenarios with with densely distributed targets, we augment the testset of the existing [IRSTD-1k (MIT License)](https://github.com/RuiZhang97/ISNet) using a randomized copy-paste augmentation strategy and construct the synthetic dataset, \ie, IRSTD1k$^{AUG}_{TE}$... | 321 | 7 | normal |
WendyHoang/two-hop-real-cities-v1 | none | 0.8165 | climate | 0.0494 | null | [] | 0 | 4 | normal | |
maedmatt/record-test | none | 0.9492 | code | 0.046 | 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",
"... | 2,941 | 7 | normal |
wannaphong/simplewiki-20251101-cleaned | none | 0.6287 | code | 0.1997 | null | [] | 0 | 3 | normal | |
1231czx/rebuttal_af_rm_bon8_01 | none | 0.4851 | biology | 0.1279 | null | [] | 0 | 5 | normal | |
DrainpipeAI/eval_redspice_pi_26 | none | 0.9165 | code | 0.0768 | 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",
"... | 2,872 | 8 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_78d4c900-49c4-4a5a-a496-586da142af7f | none | 0.6177 | code | 0.1666 | null | [] | 0 | 2 | normal | |
zhengbang0707/Llama3.1-8B-IT_DPO_v2_30k | none | 0.775 | code | 0.1112 | null | [] | 0 | 5 | normal | |
Roman190928/TextFacts | none | 0.6942 | code | 0.0609 | null | [
"english",
"text",
"facts"
] | ## Look at the facts, and decide whether or not you'd like to use this. | 71 | 63 | normal |
tmpmodelsave/llama3_70bcorr_type2_beta01_400tmp10_vllmexp2 | none | 0.6185 | chemistry | 0.1759 | null | [] | 0 | 4 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_a507bc61-f6f4-41df-8697-719ad70e45b2 | none | 0.6436 | code | 0.1585 | null | [] | 0 | 4 | normal | |
orai-nlp/HellaSwag_HT_eu_sample | none | 0.9545 | code | 0.0154 | null | [] | # HellaSwag Human Translated Sample for Basque
A subset of 250 samples manually translated to Basque from the [HellaSwag dataset](https://huggingface.co/datasets/Rowan/hellaswag) (Zellers et al., 2019).
The corresponding 250 English samples are also provided.
The HellaSwag dataset is a dataset for commonsense NLI.
#... | 1,420 | 42 | normal |
summykai/shadcn-sft-dataset | none | 0.8897 | code | 0.1065 | null | [] | # shadcn/ui SFT Dataset
A ChatML-style supervised fine-tuning dataset for mapping UI intents to **shadcn/ui** component usage. Each row contains a `messages` conversation and a structured `metadata` object for filtering by component, category, and template type.
## Dataset
- **Repository:** `summykai/shadcn-sft-data... | 912 | 12 | normal |
lerobot-data-collection/rac31 | none | 0.9222 | code | 0.0712 | 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",
"... | 3,930 | 5 | normal |
DCAgent2/DCAgent_dev_set_v2_DCAgent_r2egymGPT5CodexPassed-nl2bash-bugsseq_Qwen3-8B-maxEp928f82f5 | code | 0.4797 | none | 0.3322 | null | [] | 0 | 22 | boundary | |
mteb/HUMEMultilingualSentimentClassification | none | 0.4838 | biology | 0.2231 | null | [] | 0 | 48 | normal | |
undertheseanlp/UTS2017_Bank | finance | 0.9678 | none | 0.0282 | finance | [
"text",
"vietnamese",
"banking",
"finance",
"nlp",
"sentiment-analysis",
"aspect-based-sentiment-analysis"
] | # UTS2017_Bank Dataset
## Dataset Description
### Dataset Summary
The UTS2017_Bank dataset is a comprehensive Vietnamese banking domain dataset containing customer feedback and reviews about banking services. It contains **2,471 annotated examples** (1,977 train, 494 test) with both aspect labels and sentiment... | 7,139 | 164 | normal |
yasalma/fairytales | none | 0.9931 | finance | 0.002 | null | [
"audio",
"tts",
"speech",
"speech-to-speech",
"translation"
] | # Volga Fairytales TTS Dataset
## Dataset Summary
Volga Fairytales TTS is a speech dataset containing audio recordings of traditional fairytales in several languages of the Volga region.
The original recordings were sourced from [this site](https://xn--80aemcfjckzbis8msb.xn--p1ai/library).
The dataset comprises re... | 3,219 | 48 | normal |
KozMi/93e1df75-6864-4212-baf5-f276fd0fa659_training_20251121071942 | none | 0.8912 | cybersecurity | 0.0997 | null | [
"lora",
"training",
"wan-2.2"
] | # CLI Character - WAN 2.2 1763709581 - LoRA Training Dataset
Training dataset for CLI Character - WAN 2.2 1763709581 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: CLI Character - WAN 2.2 1763709581
- **Trigger Word**: `jpg`
- **ZIP Size**: 6.8 MB
- **File**: `training_dataset.zip`
## Cha... | 802 | 4 | normal |
Cadenza-Labs/alpaca-cadenza | none | 0.4658 | biology | 0.3365 | null | [] | 0 | 7 | normal | |
hassanql/fatima-fellowship-nanbeige-blindspots_2 | none | 0.6906 | code | 0.155 | null | [] | # Blind Spots of Frontier Models: Nanbeige4-3B-Base
This dataset was developed for the Fatima Fellowship 2026 Technical Challenge. It explores the natural vulnerabilities and structural blind spots of a raw, unaligned 3B parameter base model.
## 1. Model & Environment
* **Model Tested:** [Nanbeige/Nanbeige4-3B-Base](... | 3,639 | 20 | normal |
freococo/sunnah_dataset | none | 0.9008 | legal | 0.0723 | null | [
"islam",
"hadith",
"religion",
"arabic",
"multi-lingual"
] | # Sunnah.com Comprehensive Dataset (freococo)
## Dataset Summary
This dataset is a high-quality, professional-grade collection of **39,318 Hadiths** meticulously scraped and structured from [Sunnah.com](https://sunnah.com). It represents one of the most complete and multi-faceted Hadith databases available in the open... | 3,940 | 21 | normal |
test-gen/code_livecodebench_qwen2.5-3b_t0.1_n8_tests_livecodebench_qwen3-1.7b-easy-unique_t0.0_n1 | code | 0.8877 | none | 0.1057 | null | [] | 0 | 4 | new_discovery | |
RASPIAUDIO/so100_test7 | none | 0.9157 | code | 0.0797 | null | [
"so100",
"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 | 27 | normal |
alea-institute/kl3m-filter-data-dotgov-www.fema.gov | none | 0.5606 | chemistry | 0.1395 | null | [] | 0 | 3 | normal | |
infinite-dataset-hub/TransactionFraud | finance | 0.8422 | cybersecurity | 0.0869 | null | [
"infinite-dataset-hub"
] | # TransactionFraud
tags: Fraud Detection, Credit Card, Time Series Analysis
_Note: This is an AI-generated dataset so its content may be inaccurate or false_
**Dataset Description:**
The 'TransactionFraud' dataset comprises time-stamped credit card transactions with features designed for fraud detection through mac... | 1,642 | 16 | new_discovery |
xin1997/api-misuse-repair-single_all_only_input | code | 0.5817 | none | 0.2479 | null | [] | 0 | 2 | normal | |
selfcorrexp/dpo_math1pair_and_augmath | math | 0.4553 | chemistry | 0.2321 | null | [] | 0 | 6 | normal | |
reasoning-proj/exp_rob_dfiltered_DeepSeek-R1-Distill-Qwen-32B_2_mbenign_rewrite_trace_t10 | none | 0.4134 | code | 0.3666 | null | [] | 0 | 5 | normal | |
maxdhepi/record-test_003 | none | 0.9264 | code | 0.0677 | 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",
"... | 2,571 | 5 | normal |
HichTala/uodd_10shot_4 | none | 0.4555 | climate | 0.1404 | null | [] | 0 | 7 | normal | |
kowndinya-renduchintala/fineweb-100M-v0-sentences | none | 0.6627 | code | 0.0745 | null | [] | 0 | 9 | normal | |
cdactvm/save_audio_punjabi2 | none | 0.5695 | finance | 0.1991 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [M... | 4,129 | 11 | normal |
IsmaelMousa/libri-in-italiano | none | 0.8887 | legal | 0.0764 | null | [
"libri",
"books",
"categorie",
"categories",
"nlp",
"narrativa storica",
"historical fiction",
"fantascienza",
"science fiction",
"giallo",
"mystery",
"romanzo",
"romance"
] | # Libri
Il dataset dei libri consiste in una raccolta diversificata di *18* libri organizzati in *4* categorie.
Questo dataset è ben pulito e progettato per supportare diversi compiti di elaborazione del linguaggio naturale (NLP), inclusi `generazione di testo`, `traduzione` e `modellazione del linguaggio mascherato`... | 2,404 | 49 | normal |
jackvial/koch_pistachio_cleanup_1_e20 | none | 0.5387 | climate | 0.1485 | null | [] | 0 | 3 | normal | |
AbderrahmanSkiredj1/mowatta2_imam_malik_by_chapters | none | 0.5742 | legal | 0.1265 | null | [] | 0 | 4 | normal | |
kothasuhas/sort_vocab100_seqlen64_ctx4096_n50000 | biology | 0.649 | none | 0.192 | null | [] | 0 | 36 | normal | |
felixZzz/len16k_custom_teacher_response-6 | none | 0.5097 | code | 0.247 | null | [] | 0 | 5 | normal | |
vCache/SemBenchmarkClassificationSorted | none | 0.5798 | code | 0.3075 | null | [] | # SemBenchmarkClassificationSorted Dataset
The SemBenchmarkClassificationSorted dataset is a streamlined and sorted variant of [SemBenchmarkClassification](https://huggingface.co/datasets/vCache/SemBenchmarkClassification), designed for sequential processing and efficient evaluation of semantic caching systems in non-... | 2,866 | 42 | normal |
idoco/PopVQA | none | 0.9524 | code | 0.0365 | null | [] | # PopVQA: Popular Entity Visual Question Answering
PopVQA is a dataset designed to study the performance gap in vision-language models (VLMs) when answering factual questions about entities presented in **images** versus **text**.
Paper: https://huggingface.co/papers/2412.14133
Code: https://github.com/ido-co/vlm-mod... | 3,971 | 148 | normal |
NilanE/ComplexMultistepImageEditing | code | 0.5972 | none | 0.3769 | null | [
"reasoning-datasets-competition"
] | # Overview
This dataset contains complex image editing reasoning chains, designed to give unified multimodal LLMs such as [Show-o](https://github.com/showlab/Show-o) and [Janus](https://github.com/deepseek-ai/Janus) the ability to reason using text and image tokens equally.
#### Dataset structure:
```
{
'source': ... | 5,426 | 78 | normal |
Ataraxiainc/MMLU_EN_US | none | 0.6213 | code | 0.2488 | null | [] | Hello team,
I know OpenAI did a great job with the translations of the MMLU dataset into different languages, but I noticed the English CSV was missing. So, I took the liberty of unifying the files into the same structure and here I am sharing the complete MMLU dataset in English.
In the future, I plan to add a combi... | 410 | 6 | normal |
OALL/details_MaziyarPanahi__Llama-3-8B-Instruct-v0.10 | none | 0.9371 | code | 0.0549 | null | [] | # Dataset Card for Evaluation run of MaziyarPanahi/Llama-3-8B-Instruct-v0.10
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [MaziyarPanahi/Llama-3-8B-Instruct-v0.10](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-v0.10).
The dataset is comp... | 24,917 | 3 | normal |
prouser33/dsc-qlora-tc | none | 0.324 | chemistry | 0.2561 | null | [] | 0 | 9 | normal | |
onurborasahin/TRhard | none | 0.859 | medical | 0.1067 | null | [] | # Dataset Card for [Dataset Name]
## 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-instanc... | 2,989 | 14 | normal |
Setsunainn/piper_flip-test-turn | none | 0.9058 | code | 0.0868 | 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",
"... | 3,193 | 26 | normal |
UMCU/apollo_english_guidelines_translated_to_dutch_with_gpt4omini | medical | 0.7318 | none | 0.2538 | medical | [
"dutch",
"clinical",
"healthcare"
] | # Data description
Translation of the English medical guidelines that are part of the [Apollo corpus](https://huggingface.co/datasets/FreedomIntelligence/ApolloCorpus), using the LLM GPT 4o mini
# Acknowledgement
The work received funding from the European Union's Horizon Europe research
and innovation programme un... | 570 | 9 | normal |
mttam/test_dataset_myllama1 | none | 0.5118 | climate | 0.1404 | null | [] | 0 | 4 | normal | |
andrewsiah/PersonaPromptPersonalLLM_330 | none | 0.9692 | code | 0.0222 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_330"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 4 | normal |
JiabinQ/eval_pick_place_tape_12kv2 | none | 0.9051 | code | 0.0896 | 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",
"... | 3,576 | 6 | normal |
stranger47/totalsegmentator-mesh-dataset2-debug | none | 0.57 | code | 0.251 | null | [] | 0 | 6 | normal | |
Junyi-tao/remap_structure_inject_every_16 | none | 0.453 | code | 0.2539 | null | [] | 0 | 8 | normal | |
jihuny/llama_nec_10k_sky_dpo_mgopt_a20_l1e4 | none | 0.5727 | medical | 0.176 | null | [] | 0 | 9 | normal | |
huyvux3005/chess-dataset | none | 0.8499 | code | 0.0788 | null | [] | # Chess Training Dataset
1M chess games from Lichess (ELO 1500-3000)
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("your-username/chess-dataset",
data_files="lichess_random_1M_1500-3000.parquet")
``` | 254 | 6 | normal |
sungkwang2/vlens-mmpr-curated | none | 0.473 | biology | 0.1714 | null | [] | 0 | 14 | normal | |
Capibara-LLM/dataset-guarani-jopara-v01 | none | 0.6394 | legal | 0.2488 | null | [
"instruction-following",
"alpaca",
"guarani",
"jopara",
"paraguay"
] | # Dataset Guaraní-Jopara v01 (Alpaca Style) 🇵🇾
## Resumen del Dataset
Este dataset contiene pares de **instrucción-respuesta** diseñados para el entrenamiento de ajuste fino (Fine-Tuning) de Modelos de Lenguaje Grande (LLMs) en el idioma **Guaraní**, específicamente en su variante **Jopara** (la mezcla coloquial de... | 3,182 | 12 | normal |
BarryFutureman/vox2_3D_distill_shard_25 | none | 0.3662 | climate | 0.2068 | null | [] | 0 | 23 | normal | |
mlnomad/imnet1k_chimpanzee_chimp_Pan_troglodytes | none | 0.6678 | code | 0.1515 | null | [] | 0 | 4 | normal | |
test-gen/mbpp_sft-qwen3-4B_t0.0_n1_generated_tests | none | 0.4354 | code | 0.4115 | null | [] | 0 | 4 | normal | |
jablonkagroup/cav3_t-type_calcium_channels_butkiewicz | chemistry | 0.9939 | biology | 0.0025 | null | [] | ## Dataset Details
### Dataset Description
This dataset was initially curated from HTS data at the PubChem database.
The curation process is documented in Butkiewicz et al.
Primary screening with AID 449739 identified inhibitors of Cav3 T-type calcium channels.
Four follow-up screens were performed to confirm inhibit... | 2,492 | 12 | new_discovery |
suchandra17/preprocessed_aptitude_20k | none | 0.6486 | code | 0.1411 | null | [] | 0 | 5 | normal | |
CVasNLPExperiments/textvqa_mini_validation_google_flan_t5_xxl_mode_OCR_VQA_Q_rices_ns_400 | none | 0.7845 | code | 0.087 | null | [] | 0 | 7 | normal | |
reasoning-proj/c_dfiltered_logic_DeepSeek-R1-Distill-Qwen-32B_mbenign_complete_step_t30 | code | 0.3678 | math | 0.2851 | null | [] | 0 | 5 | boundary | |
lra10/claude-filter | none | 0.3826 | chemistry | 0.1837 | null | [] | 0 | 6 | normal | |
mayaweiz/SingleOneFoldExample | none | 0.3129 | biology | 0.2222 | null | [] | 0 | 5 | normal | |
hooriehsabzevari/Daniar_final__sampled_h_from_sampled_len_ckp_4 | none | 0.6384 | climate | 0.0976 | null | [] | 0 | 5 | normal | |
Lots-of-LoRAs/task1405_find_median | none | 0.7659 | biology | 0.1819 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1405_find_median
## 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 Contact:*... | 2,295 | 13 | normal |
HavryliukA/test_training_2711 | none | 0.462 | climate | 0.1457 | null | [] | 0 | 4 | normal | |
aractingi/reach_cube_sim1 | none | 0.7904 | code | 0.0868 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). | 81 | 3 | normal |
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