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 |
|---|---|---|---|---|---|---|---|---|---|---|
hamishivi/omega-combined | chemistry | 0.3949 | none | 0.2563 | null | [] | 0 | 74 | boundary | |
ZixuanKe/cfa_extracted_exercise_sup_sample_from_policy_v1.1_genrm_qwen3-32b_dpo_train_chunk_12 | none | 0.9325 | medical | 0.0304 | null | [] | 0 | 3 | normal | |
DatarrX/Burmese-English-Code-Mixed-Corpus | none | 0.9853 | code | 0.0079 | null | [
"code-switching",
"code-mixed",
"myanmar",
"burmese",
"conversational-ai",
"natural-language",
"human-curated"
] | # 🇲🇲 Burmese-English Code-Mixed Corpus ꒰ 1,111 Rows ꒱
A high-quality, human-curated dataset of code-mixed Burmese and English sentences, specifically designed for Natural Language Processing (NLP) and Machine Learning (ML) research.
## Dataset Details
- **Organization:** [DatarrX](https://huggingface.co/DatarrX)
-... | 3,250 | 33 | normal |
brucekimrok/record-shake-07 | none | 0.9099 | code | 0.086 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,578 | 6 | normal |
sharon1331/cantonese-translation-dataset | none | 0.6396 | finance | 0.0737 | null | [] | 0 | 4 | normal | |
keonwookim/my-distiset-a57e38e7 | none | 0.927 | biology | 0.0362 | 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-a57e38e7
This dataset has been crea... | 1,607 | 4 | normal |
CharlieJi/engin183-company-analysis-dataset-v2 | none | 0.6145 | finance | 0.1357 | null | [] | 0 | 9 | normal | |
MayAlsofyani/imbalanced_Onebug_COT2 | biology | 0.3292 | none | 0.1885 | null | [] | 0 | 4 | boundary | |
olgagasowska/27_11_working_code_dataset | code | 0.4163 | none | 0.3531 | null | [] | 0 | 5 | boundary | |
PJMixers/CV-Mistral-Hackathon_doom-mistral-final-latest-10-frames-ShareGPT | none | 0.7369 | code | 0.237 | null | [] | Original set is one frame per sample.
This does the latest 10 samples, like so:
```
Sample 1: Frames 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Sample 2: Frames 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
Sample 3: Frames 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
Sample 4: Frames 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
```
If it's trained this way maybe it wi... | 439 | 4 | normal |
Danasoumoh/phase2 | none | 0.3376 | chemistry | 0.2561 | null | [] | 0 | 25 | normal | |
kjngansgfa/dataset_5z6hb3fa | none | 0.5673 | finance | 0.0937 | null | [] | 0 | 4 | normal | |
nargesghv/text_2_sql_SpatialData_evaluation | none | 0.5777 | code | 0.1714 | null | [] | 0 | 7 | normal | |
anahitaakter01/ertyjuk | none | 0.3253 | chemistry | 0.1075 | null | [] | 0 | 8 | normal | |
ioi-leaderboard/ioi-eval-openai_o3-mini-2025-01-31_prompt-mem-limit | none | 0.9514 | code | 0.0326 | null | [] | 0 | 4 | normal | |
Vacuame/train4 | none | 0.9104 | code | 0.085 | 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": "v2.0",
"... | 3,580 | 17 | normal |
eshangj/stackoverflow_q_and_a_sample | code | 0.6968 | none | 0.2348 | null | [
"python",
"stackoverflow",
"question-answer"
] | # Description
- GitHub repository: https://github.com/EshanJayasundara/Stackoverflow-Python-Q-and-A-Extractor.
- GitHub repository contains the automated workflow for extracting the question and answer pairs from Stackoverflow.
- This dataset contains the question-answer pairs extracted from Stackoverflow using Stack E... | 1,355 | 24 | normal |
Kazuki1450/Light-R1-SFTData-Extended-With-Difficulty-split5 | none | 0.6258 | code | 0.1617 | null | [] | 0 | 15 | normal | |
french-open-data/signalisation-et-surveillance-des-cotes | cybersecurity | 0.8705 | none | 0.0955 | null | [
"feux",
"patrimoine",
"patrimoine-tourisme-loisirs",
"phares",
"signalisation",
"surveillance",
"tourelles",
"tourisme",
"dataset_for_agent"
] | # Signalisation et surveillance des côtes
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Signalisation et surveillance des côtes** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/64809663842d021d1a5b3813
## Description
Signalisation e... | 854 | 6 | new_discovery |
amang1802/cpt_gen_content_topic_conditioned_L3.1_8B_cpt_epoch29 | none | 0.8194 | biology | 0.0596 | null | [] | 0 | 5 | normal | |
shidowake/augmxnt_ultra-orca-boros-en-ja-v1_split_0 | none | 0.8438 | code | 0.0383 | null | [] | 0 | 2 | normal | |
sergiov2000/eval_act_so100_movella_push_b5 | none | 0.9396 | code | 0.057 | 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 | 32 | normal |
shengbozhao/test-sync | code | 0.987 | none | 0.0072 | null | [] | # Berkeley Function Calling Leaderboard
The Berkeley function calling leaderboard is a live leaderboard to evaluate the ability of different LLMs to call functions (also referred to as tools).
We built this dataset from our learnings to be representative of most users' function calling use-cases, for example, in agent... | 20,224 | 5 | new_discovery |
hugonowak/dane-projektowe-00030 | none | 0.964 | code | 0.0144 | null | [] | dane-projektowe-00030
dane-projektowe-00030 | 43 | 6 | normal |
ashabrawy/did-Jerusalem | none | 0.5501 | legal | 0.188 | null | [] | 0 | 26 | normal | |
mlfoundations-dev/b2_math_difficulty_10k_eval_636d | math | 0.6189 | none | 0.371 | null | [] | # mlfoundations-dev/b2_math_difficulty_10k_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|-------------|-... | 3,004 | 5 | normal |
EmbeddingStudio/synthetic-search-filters-ru | cybersecurity | 0.5891 | none | 0.2295 | null | [
"search-queries",
"e-commerce",
"online-shops",
"travel-agencies",
"educational-institutions-ai",
"job-recruitment-automation",
"banking-digital-services",
"investment-ai-analysis",
"insurance-tech-innovation",
"financial-advisory-ai",
"credit-services-automation",
"payment-processing-tech",
... | # Synthetic Search Filters
This is generated with GPT-4 Turbo possible search filters and theirs representations for the given business/service categories and for the Russian language domain:
```
Artificial Intelligence and Machine Learning, Automotive, Automotive Dealerships, Banking Services, Books and Media, Cloud ... | 4,648 | 22 | normal |
BAAI-DataCube/robomind_benchmark1_0_release_agilex_3rgb_13_packbowl | none | 0.807 | code | 0.1618 | null | [] | # benchmark1_0_release_agilex_3rgb_13_packbowl
This dataset converts the Robomain format uniformly into LeRobot V3.0.
## Dataset Statistics
本体: agilex_3rgb
末端执行器: 夹爪
任务平台显示版: 打包碗
total_episodes: 105
total_tasks: 1
size: 1.0G
## Dataset Structure
```
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── images
... | 935 | 14 | normal |
irotem98/synthetic_funko_pop_256x256 | none | 0.6722 | code | 0.1408 | null | [] | 0 | 3 | normal | |
younghyopark/realworld_dataset_0708 | none | 0.9461 | code | 0.0418 | 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",
"... | 5,553 | 3 | normal |
Asap7772/arc-classifier-f1-Qwen3-4B-arc-sft-lr5e-6-1007 | none | 0.8318 | biology | 0.0755 | null | [] | 0 | 5 | normal | |
dgambettavuw/D_gen7_run2_llama2-7b_sciabs_doc1000_real32_synt96_vuw | none | 0.744 | chemistry | 0.0889 | null | [] | 0 | 4 | normal | |
AllTheBacteria/Bac-Corpus-dna-intergenic-sequences-high-diversity | biology | 0.9568 | chemistry | 0.0382 | null | [] | 0 | 41 | new_discovery | |
ahmadarrabi/VIGORv2 | none | 0.7799 | code | 0.0939 | null | [] | Under progress, request https://github.com/AhmadArrabi/GPG2A for now | 68 | 4 | normal |
leafsmomo/eval_so101_act_v13_1 | none | 0.9212 | code | 0.0729 | 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 | 19 | normal |
jasonmoore92/x_dataset_231 | none | 0.8613 | cybersecurity | 0.086 | null | [] | # Bittensor Subnet 13 X (Twitter) Dataset
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/resolve/main/bittensor.png" alt="Data-universe: The finest collection of social media data the web has to offer">
</center>
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/re... | 5,358 | 5 | normal |
french-datasets/Databasesprojec-FinStmts_ConsUncons_French_Predict_part2 | finance | 0.5134 | cybersecurity | 0.3288 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [Databasesprojec/FinStmts_ConsUncons_French_Predict_part2](https://huggingface.co/datasets/Databasesprojec/FinStmts_ConsUncons_French_Predict_part2). | 237 | 6 | normal |
NinaCalvi/M0train_chunk_1to4eval5to8_incorrect_no_critique | none | 0.6907 | code | 0.14 | null | [] | 0 | 6 | normal | |
noxneural/stock_2018 | finance | 0.9776 | none | 0.0206 | null | [] | # Stocks_2018 Dataset
This dataset contains stock market data from the year 2018. It is divided into three parts:
- **Train**: `train_filtered`
- **Test**: `test_filtered`
- **Validation**: `validation_filtered`
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("noxneural/stocks_2018")
`... | 322 | 30 | new_discovery |
biki647/japanese_language | none | 0.678 | code | 0.0787 | null | [] | 0 | 4 | normal | |
math-reruns/HuggingFaceTB_SmolLM2-1.7B | none | 0.4317 | chemistry | 0.1902 | null | [] | 0 | 6 | normal | |
huggingface-KREW/Ko-AgentBench | none | 0.6798 | math | 0.1656 | null | [
"agent",
"tool-use",
"korean"
] | <p align="center">
<img src="banner.png" />
</p>
# **🇰🇷 Ko-AgentBench v1**
**"한국 에이전트 벤치마크 프로젝트"**
**[English](README_en.md) | 한국어**
<div align="center">
[](https://huggingface.co/spaces/huggingface-KREW/Ko-AgentBench)
[ translated to the Italian language using [MADLAD400](https://huggingface.co/google/madlad400-3b-mt).
## Citation
If you use this dataset in your research you should cite both... | 1,067 | 19 | normal |
chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754913480_eval_3444_gpqadiamond_weighted-avg_num_prune_ffn_5_run-002 | none | 0.9837 | math | 0.0066 | null | [] | # chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754913480_eval_3444_gpqadiamond_weighted-avg_num_prune_ffn_5_run-002
Precomputed model outputs for evaluation.
## Evaluation Results
### GPQADiamond
- **Average Accuracy**: 70.88% ± 2.74%
- **Number of Runs**: 3
| Run | Accuracy | Questions Solved | Total Questions |
|----... | 449 | 92 | normal |
Intel/WEC-Eng | none | 0.9627 | legal | 0.0136 | null | [] | # WEC-Eng
A large-scale dataset for cross-document event coreference extracted from English Wikipedia. </br>
- **Repository (Code for generating WEC):** https://github.com/AlonEirew/extract-wec
- **Paper:** https://aclanthology.org/2021.naacl-main.198/
### Languages
English
## Load Dataset
You can read in WEC-Eng f... | 5,118 | 57 | normal |
oulianov/my_dataset_4 | none | 0.9217 | code | 0.0544 | null | [
"phosphobot",
"so100",
"phospho-dk1"
] | # my_dataset_4
**This dataset was generated using a [phospho starter pack](https://robots.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS. | 300 | 8 | normal |
Nebliss/eval_Twix05_test | none | 0.9108 | code | 0.0823 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=Nebliss/eval_Twix05_test">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.... | 2,959 | 16 | normal |
elhariri16/moroccan_food_classifier | none | 0.6692 | biology | 0.0972 | null | [] | 0 | 8 | normal | |
XuZhao2025/panda_0502_500 | none | 0.4302 | climate | 0.1536 | null | [] | 0 | 42 | normal | |
french-open-data/fichier-adresse-commune-de-perigneux | none | 0.5041 | cybersecurity | 0.3773 | null | [
"adresse",
"bal",
"ban",
"base-adresse-locale",
"csv",
"perigneux",
"dataset_for_agent"
] | # Fichier adresse commune de Périgneux
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Fichier adresse commune de Périgneux** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5f8994c6e4778a364481ba8b
## Description
Fichier adresse csv d... | 662 | 8 | normal |
PJMixers-Dev/wildchat-prep | none | 0.7048 | code | 0.2322 | null | [] | for some test
```py
data = load_dataset("damerajee/WildChat-Eng-Sharegpt")
new_data = []
for sample in tqdm(data["train"]):
if len(sample["conversation"]) < 4:
continue
if sample["redacted"] is True:
continue
new_data.append(
{
"conversations": sample["conversation"][:... | 343 | 6 | normal |
zhuoranyu336/synthetic | none | 0.3169 | chemistry | 0.3077 | null | [] | 0 | 22 | normal | |
jackkuo/AMP-SEMiner-dataset | chemistry | 0.628 | biology | 0.3644 | null | [] | # AMP-SEMiner Dataset
**A Comprehensive Dataset for Antimicrobial Peptides from Metagenome-Assembled Genomes (MAGs)**
## Overview
This repository contains the open-source dataset for the **[AMP-SEMiner-Portal](https://github.com/JackKuo666/AMP-SEMiner-Portal)**, which is part of the article *[Unveiling the Evolution... | 1,129 | 30 | normal |
TristanBehrens/js-fakes-4bars | none | 0.6056 | code | 0.3825 | null | [] | # JSFakes (Dr. Tristan Behrens).
This is a tokenized version of the JS-Fakes dataset by Omar Peracha. The original dataset can be found here:
[js-fakes.git](https://github.com/omarperacha/js-fakes.git)
The representation is four tracks with four bars per track.
## Purpose.
This dataset is a good starting point for ... | 635 | 22 | normal |
HB-LEE/pope-coco-adversarial | none | 0.56 | biology | 0.0976 | null | [] | 0 | 7 | normal | |
kshitijthakkar/synthetic-ai-tasks-eval-v6 | cybersecurity | 0.6959 | none | 0.2741 | null | [
"ai-assistant",
"training-data"
] | # Synthetic Ai Tasks Eval V6
Specialized synthetic data for APM, AIOps, and GenAI expertise including metrics analysis, transaction tracing, event correlation, incident response, and AI-powered operations.
## Dataset Structure
This dataset contains 170 synthetic samples across multiple AI assistant tasks:
- **data_... | 8,020 | 5 | normal |
TAUR-dev/D-EVAL__standard_eval_v3__sft_gs_fixed_evals-eval_rl | none | 0.8959 | code | 0.05 | null | [] | # D-EVAL__standard_eval_v3__sft_gs_fixed_evals-eval_rl
This evaluation dataset was created as part of the **sft_gs_fixed_evals** experiment using the SkillFactory experiment management system.
## Experiment Tracking
🔗 **View complete experiment details**: [Experiment Tracker Dataset](https://huggingface.co/datasets... | 873 | 10 | normal |
nfc22/sclerobase_data | biology | 0.7323 | chemistry | 0.1004 | null | [] | # Monitoring Progression of Scleroderma
---
## Project Description
This is a website for visualising datasets to study protein expression in Scleroderma patients. The website is able to
generate the following plots:
- Correlation Plot
- Boxplot
- UMAP plot
- Volcano plot
- Violin plot
---
## Table of Co... | 1,901 | 5 | normal |
reasoning-degeneration-dev/t1-strategy-arena-frozenlake-baseline-together_ai-moonshotai-kimi-k2-thinking-b6fc7e16 | none | 0.9195 | code | 0.0407 | null | [
"strategy_compliance",
"frozenlake",
"arena_evaluation",
"reasoning_malleability",
"baseline"
] | # t1-strategy-arena-frozenlake-baseline-together_ai-moonshotai-kimi-k2-thinking-b6fc7e16
**Strategy compliance baseline** — FrozenLake arena evaluation.
No strategy instruction was given. This is the baseline to observe the model's
natural reasoning patterns across game turns. Per-turn reasoning is extracted
from tra... | 1,741 | 14 | normal |
DCAgent2/dcagent-dev-set-71-tasks-dcagent-code-contests-sandboxes-traces-terminus-2-num-91991026 | code | 0.6809 | none | 0.3096 | null | [] | 0 | 10 | normal | |
SynphonyDev/record-test-third-10 | none | 0.9314 | code | 0.0634 | 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",
"... | 2,952 | 9 | normal |
sjleslie/bootstrap_prevalence_long_75 | none | 0.4606 | biology | 0.1597 | null | [] | 0 | 4 | normal | |
rli14/09022025_oak_cam_clean_table_brownspoon | none | 0.893 | code | 0.0878 | 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",
"... | 2,229 | 4 | normal |
AhunInteligence/ft_wav | none | 0.5395 | legal | 0.169 | null | [] | 0 | 4 | normal | |
khirodsahoo93/items_raw_full | none | 0.5568 | code | 0.1028 | null | [] | 0 | 13 | normal | |
neelabh17/new_news_exploded_prompt_n_5_d_perc_20_num_gen_10_Qwen2.5-7B-Instruct_dist_mcq | none | 0.9734 | code | 0.0182 | null | [] | 0 | 5 | normal | |
maanas-writer/mem_agent-model_based-rl-memoryagent-7b-infbench-longbook-qa-test-c27000-t4096-1000s-agnostic | none | 0.5855 | code | 0.3936 | null | [] | 0 | 6 | normal | |
jihuny/llama_mag_10k_sky_active_mgopt_a10_l1e4 | chemistry | 0.6235 | none | 0.2614 | null | [] | 0 | 6 | normal | |
TheFactoryX/edition_2880_ryanmarten-OpenThoughts-1k-sample-readymade | none | 0.9823 | code | 0.0159 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2880_ryanmarten-OpenThoughts-1k-sample-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[ryanmarten/OpenThoughts-1k-sample](https://huggingface.co/datasets/ryanmarten/OpenThoughts-1k-sample)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objec... | 981 | 13 | normal |
ainewtrend07/Evaluation_facebook-bart-large-mnli | none | 0.8174 | climate | 0.0671 | null | [] | 0 | 4 | normal | |
Faiz28/LCQA-Islamic | none | 0.9232 | code | 0.0312 | null | [
"Quran",
"Tafseer",
"Ahadith",
"Question/Answering",
"Larger_context"
] | # 📚 LCQA-Islamic: A Benchmark Dataset with Larger Context for Non-Factoid QA over Islamic Texts
## Dataset Summary
This dataset provides a benchmark for **non-factoid question answering** over Islamic texts with an emphasis on **larger context retrieval**.
It includes expert-curated QA pairs where the answers requi... | 1,652 | 56 | normal |
mddoai/eval_groot_pick_all_long053823 | none | 0.9022 | code | 0.0938 | 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",
"... | 3,580 | 23 | normal |
kjngansgfa/dataset_9mwsnstf | none | 0.5168 | code | 0.1226 | null | [] | 0 | 5 | normal | |
wockd/Pick-from-Shelf-1204-100 | none | 0.9007 | code | 0.0949 | 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",
"... | 3,581 | 9 | normal |
ndhananj/uplimit-synthetic-data-week-1-filtered | none | 0.8232 | code | 0.1459 | null | [] | Magpie generrated using distilabel and meta-llama/Llama-3.2-3B-Instruct
```
from distilabel.models.llms.huggingface import InferenceEndpointsLLM
from distilabel.pipeline import Pipeline
from distilabel.steps.tasks import MagpieGenerator
with Pipeline() as pipeline:
llm = InferenceEndpointsLLM(
base_url="... | 2,954 | 6 | normal |
Hagon/test | chemistry | 0.4081 | none | 0.3627 | null | [] | # Overview
# Dataset Structure
```
data
├── multi_swe_bench_c_RL
│ ├── org__repo_dataset.jsonl
│ └── ...
├── multi_swe_bench_cpp_RL
│ ├── org__repo_dataset.jsonl
│ └── ...
└── ...
``` | 203 | 28 | boundary |
synthetic-code-training/ds3_LCB_517i | code | 0.5773 | none | 0.2416 | null | [] | 0 | 7 | normal | |
yunjae-won/mp_gemma9b_sft_dpo_beta1e-1_epoch4_40k_multisample_ratio | none | 0.8338 | chemistry | 0.0469 | null | [] | 0 | 4 | normal | |
LuckyLukke/clembench_REFUEL_0.7 | none | 0.2542 | chemistry | 0.2349 | null | [] | 0 | 4 | normal | |
Asap7772/arc-agi-all-train-Qwen3-8B-samp16-1of8 | none | 0.8216 | biology | 0.0641 | null | [] | 0 | 21 | normal | |
Nannanzi/processed_alpaca_eval | none | 0.4513 | chemistry | 0.1538 | null | [] | 0 | 4 | normal | |
jihuny/llama_mag_10k_sky_active_mgopt_a10_l1e2 | chemistry | 0.6356 | none | 0.2423 | null | [] | 0 | 12 | normal | |
giovannidemuri/alpacaGPT4_llama8b-v13-jb-seed2-alpaca_512_ngt0.7_tp0.9 | none | 0.8333 | code | 0.0696 | null | [] | 0 | 7 | normal | |
jihuny/llama_nec_10k_sky_dpo_gopt_l1e6 | none | 0.7764 | code | 0.0688 | null | [] | 0 | 9 | normal | |
zjhhhh/iter2_7b_min_gap_0.17_scores_base_15 | none | 0.8612 | climate | 0.0432 | null | [] | 0 | 4 | normal | |
ud-nlp/LLM-Text-Generation-Dataset | none | 0.9873 | code | 0.0068 | null | [
"generating text",
"largest language",
"LLM",
"text",
"NLP"
] | # Generated Text Dataset - 4 Millions+ Logs
Dataset comprises **4 million+** logs of synthetic texts generated by **large language models** (LLMs) across **32** languages, leveraging **3** different GPT models for diverse, high-quality training data. Designed for text generation tasks, **language model training**, and ... | 3,108 | 14 | normal |
felixZzz/np_4b_len16k_custom_teacher_response-5-custom_8b_student_logps | none | 0.8356 | code | 0.0772 | null | [] | 0 | 7 | normal | |
pvlge/PairRM-Preference-LIMA-Dataset | none | 0.4385 | chemistry | 0.1148 | null | [] | 0 | 8 | normal | |
eliasab16/eval_xvla_wire_insert | none | 0.8984 | code | 0.0912 | 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",
"... | 3,167 | 14 | normal |
eliasjacob/simple_qa-pt | none | 0.5061 | code | 0.1656 | null | [] | 0 | 5 | normal | |
dgambettaphd/D_llm3_run0_gen7_WXS_doc1000_synt64_lr1e-04_acm_FRESH | none | 0.677 | code | 0.1178 | null | [] | 0 | 4 | normal | |
buschbd7/chapter_50A_general_statutes | legal | 0.3956 | none | 0.3559 | null | [] | 0 | 8 | boundary | |
mlfoundations-dev/openthoughts3_code_eval_2e29 | none | 0.5084 | code | 0.4875 | null | [] | # mlfoundations-dev/openthoughts3_code_eval_2e29
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces | AIME25 | HLE | LiveCodeBenchv5 |
|--------|------|-----|-------|-------|-------... | 4,066 | 11 | normal |
andrewsiah/PersonaPromptPersonalLLM_847 | none | 0.9779 | code | 0.0151 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_847"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 5 | normal |
kimjimin/dataset2 | none | 0.3993 | climate | 0.1157 | null | [] | 0 | 3 | normal | |
alea-institute/kl3m-filter-data-dotgov-www.nbrc.gov | none | 0.5967 | chemistry | 0.1407 | null | [] | 0 | 4 | normal | |
jknafou/TransCorpus-bio-fr | biology | 0.5389 | medical | 0.2033 | null | [
"life-sciences",
"clinical",
"biomedical",
"bio",
"medical",
"biology"
] | # TransCorpus-bio-fr
**TransCorpus-bio-fr** is a large-scale, parallel biomedical corpus consisting of French synthetic translations of PubMed abstracts. This dataset was created using the TransCorpus framework and is designed to enable high-quality French biomedical language modeling and downstream NLP research.
# Da... | 4,440 | 35 | normal |
atasoglu/flickr30k-turkish | none | 0.9896 | code | 0.0088 | null | [] | This dataset is a machine-translated version of the [HuggingFaceM4/flickr30k](https://huggingface.co/datasets/HuggingFaceM4/flickr30k) into Turkish using the [facebook/nllb-200-3.3B](https://huggingface.co/facebook/nllb-200-3.3B) translation model. | 248 | 78 | normal |
ckckcharlie/eval_pickcube2514 | none | 0.9209 | code | 0.0727 | 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",
"... | 2,570 | 16 | normal |
englund/quantum-physics-vvuq-complete | chemistry | 0.5361 | none | 0.337 | null | [] | 0 | 4 | normal |
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