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 |
|---|---|---|---|---|---|---|---|---|---|---|
HungVu2003/opt-350m_beta_0.5_alpha_0.8_num-company_2_dataset_0_for_gen_18 | none | 0.902 | biology | 0.0406 | null | [] | 0 | 4 | normal | |
supergoose/flan_combined_task260_spl_translation_zh_en | none | 0.8185 | code | 0.0554 | null | [] | 0 | 7 | normal | |
liuyanchen1015/Llama-3.2-1B_jailbreak_responses | none | 0.7636 | code | 0.1353 | null | [] | 0 | 16 | normal | |
akoukas/HC3_v2 | none | 0.3516 | chemistry | 0.2358 | null | [] | 0 | 4 | normal | |
chiyuanhsiao/spoken-web-questions-text-score | none | 0.7794 | code | 0.1427 | null | [] | 0 | 4 | normal | |
french-open-data/stationnement-velos-autour-des-gares-du-futur-serm-rer-de-touraine-openstreetmap | none | 0.6552 | cybersecurity | 0.3316 | null | [
"intermodalite",
"openstreemap",
"rer",
"serm",
"train",
"velo",
"velos",
"dataset_for_agent"
] | # Stationnement vélos autour des gares du futur SERM (RER) de Touraine – OpenStreetMap
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Stationnement vélos autour des gares du futur SERM (RER) de Touraine – OpenStreetMap** qui est disponible à l'adresse h... | 4,252 | 9 | normal |
riouxm95/how_to_use_one_key_cash_on_expedia | finance | 0.4573 | none | 0.2925 | null | [] | ((833))-(783)-((3330)) If you want to use OneKeyCash on Expedia, the easiest way is to call ((833))-(783)-((3330)) and speak with a customer service representative. When you call ((833))-(783)-((3330)), have your Expedia account details and OneKeyCash balance ready. The agent at ((833))-(783)-((3330)) can guide you ste... | 1,987 | 6 | normal |
Bmingg/DPO_3a_llama_3600_constrained_mbr_bleu_vs_ancestral_sampling_bleurt_strict_bleu | none | 0.8137 | chemistry | 0.068 | null | [] | 0 | 5 | normal | |
Wajinimi/Big-cat-data | biology | 0.5598 | none | 0.3291 | null | [] | This dataset contains high-resolution images of seven big cat species (Cheetah, Cougar, Jaguar, Leopard, Lion, Snow Leopard, and Tiger).
All images were manually downloaded from publicly available Google Search results.
License & Usage Notice:
- This dataset is provided strictly for **research and educational purpos... | 583 | 4 | normal |
2084Collective/kalshibench-v2 | none | 0.6379 | chemistry | 0.0804 | null | [] | 0 | 48 | normal | |
gagan3012/Sky-T1_preference_data_10k_reward_templated | none | 0.7887 | climate | 0.0679 | null | [] | 0 | 11 | normal | |
teamcore/DPO_L8B_RMAB_TG_beta0.1dr_dpobt_noise_flip0.1_tag801_trajg | none | 0.7149 | code | 0.1435 | null | [] | 0 | 5 | normal | |
arcee-ai/Qwen3-235B-Logits-Packed-8192 | none | 0.9669 | code | 0.0253 | null | [] | ```yaml
sequence_length: 8192
dataset:
train_dataset:
repo_id: arcee-ai/Qwen3-235B-Logits-Packed-8192
split: train
prepacked: true
teacher:
kind: dataset
logprob_compressor:
d: 151936
delta_encoding: true
error_diffusion: false
exact_dtype: float32
exact_k: 32
k: 128
polynomi... | 389 | 499 | normal |
TamilThagaval/Pathinen_keezhkanakku-Iniyavainarpadhu | none | 0.7448 | legal | 0.1286 | null | [
"art"
] | ## 🌸 இனியவைநாற்பது (Iniyavai Narpadu) Dataset
இனியவைநாற்பது (Iniyavai Narpadu) is one of the Pathinen Keezhkanakku (Eighteen Minor Works) in classical Tamil literature, composed by the poet பூதஞ்சேந்தனார் (Poothanchenthanar).
It consists of 40 Venpa poems, each describing the essence of what is considered “Iniyavai”... | 2,528 | 17 | normal |
MKowal2/tiny_stories_instruct_sleeper_data_5 | none | 0.52 | code | 0.3761 | null | [] | 0 | 10 | normal | |
iiyudana/so101_sim_stack_cube | none | 0.9025 | code | 0.0903 | 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",
"... | 4,207 | 36 | normal |
jiyu9437/super-ninja-train-full | none | 0.907 | code | 0.0609 | null | [] | 0 | 4 | normal | |
MiShutov/ImageNetPart | none | 0.3064 | code | 0.193 | null | [] | 0 | 4 | normal | |
zjhhhh/iter2_7b_multi_gap_0.17_scores_adversary_55 | none | 0.7733 | chemistry | 0.0732 | null | [] | 0 | 7 | normal | |
iolimat482/common-core-math-question-khan-academy-and-mathfish | math | 0.8683 | none | 0.1138 | null | [] | 0 | 7 | new_discovery | |
hanaearg/annomi_evaluation_100_baseline_vs_architecture | none | 0.5709 | chemistry | 0.1168 | null | [] | 0 | 10 | normal | |
TheEighthDay/SeekWorld | none | 0.9704 | code | 0.0231 | null | [] | Github: https://github.com/TheEighthDay/SeekWorld
!!!! Images are in Google Driver: [SeekWorld](https://drive.google.com/drive/folders/115X73SRULCYLKZqd3UHs4MIG3PI4BSkw?usp=sharing).
Key features:
* Globally diverse images
* Human-curated visual-location pairs
* Three levels of task difficulty
* Designed for rule-bas... | 766 | 149 | normal |
hosseinmatinfar/mia-dataset | none | 0.4982 | climate | 0.0945 | null | [] | 0 | 3 | normal | |
an6308a/reuters_articles | none | 0.4999 | biology | 0.0922 | null | [] | 0 | 3 | normal | |
ZixuanKe/cfa_extracted_exercise_sup_sample_from_policy_v1.1_stepwise_dpo_binarized_chunk_5 | none | 0.9075 | medical | 0.0362 | null | [] | 0 | 9 | normal | |
gcc-insurance-ml-models/underwriting-decision-training | finance | 0.8362 | legal | 0.1302 | null | [
"insurance",
"gcc",
"machine-learning",
"training-data"
] | # Underwriting Decision Training
Training dataset for underwriting decision models. Contains risk assessments and approval decisions.
## Dataset Details
- **Records**: 10,000
- **Features**: 19
- **Organization**: GCC Insurance ML Models Hub
## Features
| Column | Type | Description |
|--------|------|------------... | 1,072 | 13 | new_discovery |
ljvmiranda921/details_msde-allenai_Olmo-3-1025-7B-lora-4bit-msde-S1-cs_Llama-3_1-8B-Instruct | none | 0.9725 | code | 0.0111 | 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... | 6,803 | 4 | normal |
maroua/dataset_ameli | none | 0.5143 | chemistry | 0.1325 | null | [] | 0 | 4 | normal | |
Ph14/mobile_price_dataset | none | 0.8969 | cybersecurity | 0.0662 | null | [] | # Mobile Price Dataset
This is a synthetic dataset containing mobile phone hardware features and a target label `price_range` (0 to 3). It is intended for classification tasks using models like Random Forests or Neural Networks.
## Features
- 20 numerical features describing mobile phone specs (e.g., battery power, ... | 580 | 5 | normal |
dgambettaphd/D_gen2_run2_llama2-7b_wiki_doc1000_real64_synt64 | none | 0.6694 | code | 0.2611 | null | [] | 0 | 4 | normal | |
matvey22122/zho_multiclass | none | 0.3153 | climate | 0.16 | null | [] | 0 | 6 | normal | |
FluidInference/fleurs | none | 0.991 | biology | 0.0036 | null | [] | # FLEURS Test Dataset
Reorganized FLEURS test dataset with audio and transcripts together.
## Structure
```
fleurs-test/
├── en_us/
│ ├── en_us_0000.wav
│ ├── en_us_0001.wav
│ ├── ...
│ ├── en_us.trans.txt (LibriSpeech format)
│ ├── en_us.csv (detailed metadata)
│ └── en_us.json (JSON metada... | 1,354 | 1,084 | normal |
Asap7772/metamath-hint-v4-qwen-base-gen__27500_30000 | none | 0.9273 | math | 0.0324 | null | [] | 0 | 4 | normal | |
v1v1d/ViViD_LD_20k_v1 | none | 0.3851 | biology | 0.1951 | null | [] | 0 | 4 | normal | |
leongl/1c_github | none | 0.3224 | chemistry | 0.2445 | null | [] | 0 | 73 | normal | |
supergoose/flan_combined_task629_dbpedia_14_classification | none | 0.8183 | code | 0.0548 | null | [] | 0 | 4 | normal | |
fanyin3639/test_test_hate | none | 0.4256 | code | 0.1544 | null | [] | 0 | 3 | normal | |
TheFactoryX/edition_1457_cornell-movie-review-data-rotten_tomatoes-readymade | none | 0.9927 | code | 0.0051 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1457_cornell-movie-review-data-rotten_tomatoes-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[cornell-movie-review-data/rotten_tomatoes](https://huggingface.co/datasets/cornell-movie-review-data/rotten_tomatoes)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept ... | 1,005 | 4 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_30df5379-89f2-4ca3-9d28-ac5f8a755634 | none | 0.609 | code | 0.1734 | null | [] | 0 | 3 | normal | |
crag-mm-2025/crag-mm-multi-turn-public | none | 0.8718 | code | 0.0949 | null | [] | # CRAG-MM: Comprehensive multi-modal, multi-turn RAG Benchmark
This repository contains the CRAG-MM dataset, a high-quality conversational benchmark for multimod... | 8,406 | 55 | normal |
ErikaaWang/M_0_generated__truthfulqa_gen__llama_rsp | none | 0.565 | code | 0.1198 | null | [] | 0 | 4 | normal | |
copycat-project/dreamsim_crop_cosine-targets_NG_NT_NKCO50_L2B5 | none | 0.5019 | chemistry | 0.2285 | null | [] | 0 | 4 | normal | |
OALL/details_618AI__dictalm2-it-qa-fine-tune | none | 0.9769 | code | 0.0189 | null | [] | # Dataset Card for Evaluation run of 618AI/dictalm2-it-qa-fine-tune
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [618AI/dictalm2-it-qa-fine-tune](https://huggingface.co/618AI/dictalm2-it-qa-fine-tune).
The dataset is composed of 136 configuration, ... | 24,822 | 2 | normal |
LuyiCui/OpenR1-Math-220k-processed | math | 0.3434 | chemistry | 0.2597 | null | [] | 0 | 32 | boundary | |
kh4dien/mc-synonym | none | 0.5685 | chemistry | 0.1378 | null | [] | 0 | 4 | normal | |
marcel-gohsen/slurp | chemistry | 0.3682 | none | 0.2747 | null | [] | 0 | 171 | boundary | |
dgambettaphd/D_qw306_run0_gen9_WXS_doc1000_synt64_lr1e-04_acm_MPP | none | 0.7468 | code | 0.0895 | null | [] | 0 | 15 | normal | |
taufik89/bjio09 | none | 0.3424 | chemistry | 0.1325 | null | [] | 0 | 5 | normal | |
mainkilora/Mana-TTS | none | 0.958 | code | 0.0145 | null | [
"text-to-speech",
"tts",
"speech-synthesis",
"persian",
"data-collection",
"data-preprocessing",
"speech-processing",
"forced-alignment",
"speech-dataset",
"speech-corpus",
"dataset-preparation",
"persian-speech",
"tts-dataset",
"text-to-speech-dataset",
"mana-tts",
"manatts",
"speec... | # ManaTTS-Persian-Speech-Dataset
**ManaTTS** is the largest publicly available single-speaker Persian corpus, comprising over **114 hours** of high-quality audio (sampled at **44.1 kHz**). Released under the permissive **CC-0 license**, this dataset is freely usable for both educational and commercial purposes.
C... | 5,285 | 9 | normal |
ptrdvn/kakugo-swa | none | 0.9789 | code | 0.0187 | null | [
"low-resource-language",
"data-distillation",
"conversation",
"sw",
"Swahili"
] | # Kakugo Swahili dataset
[[Paper]](https://arxiv.org/abs/2601.14051) [[Code]](https://github.com/Peter-Devine/kakugo) [[Model]](https://huggingface.co/ptrdvn/kakugo-3B-swa)
<p align="center">
A synthetically generated conversation dataset for training in Swahili.
<img src="https://cdn-uploads.huggingface.co/produ... | 3,696 | 23 | normal |
lorolla/ft1 | none | 0.2806 | chemistry | 0.2705 | null | [] | 0 | 4 | normal | |
Matt1208/Using_magnet_to_collect_screw | none | 0.7028 | code | 0.2342 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # Using_magnet_to_collect_screw
**This dataset was generated using [phosphobot](https://docs.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.
To get started in ... | 394 | 6 | normal |
hedronstone/medical-discharge-instruct-rl | medical | 0.6259 | none | 0.2675 | null | [] | 0 | 3 | normal | |
jfkback/crumb | legal | 0.6067 | none | 0.1991 | null | [
"information-retrieval",
"complex-queries",
"multi-task",
"long-context"
] | # 🍪 CRUMB: The Complex Retrieval Unified Multi-task Benchmark 🍪
**CRUMB** is a diverse and realistic benchmark designed to evaluate the capabilities of information retrieval models on complex, multi-aspect search tasks. It consists of eight meticulously curated retrieval tasks that have multiple components or requir... | 8,382 | 509 | normal |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_r2egymGPT5CodexPassed-nl2bash-bugsseq_Qwen3-8B1edac530 | none | 0.385 | code | 0.3737 | null | [] | 0 | 9 | normal | |
DavidABV/watering_big_dataset | none | 0.9436 | code | 0.0512 | 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"... | 3,067 | 120 | normal |
yoonholee/deepscaler-from-solutions-multiple-o4-mini-15000-20000 | code | 0.5898 | none | 0.1901 | null | [] | 0 | 5 | normal | |
mlfoundations-dev/b1_science_top_2_3k_eval_636d | none | 0.9732 | code | 0.022 | null | [] | # mlfoundations-dev/b1_science_top_2_3k_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|-------------|----... | 2,998 | 5 | normal |
PRFitz/lekiwi-dataset-test-middle | none | 0.9446 | code | 0.0514 | 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"... | 3,944 | 6 | normal |
Burman-AI/Baptist-Christian-100-burmese | none | 0.8364 | code | 0.0862 | null | [] | 0 | 6 | normal | |
sinequa/Small-msmarco | none | 0.3703 | biology | 0.1436 | null | [] | 0 | 4 | normal | |
QCRI/HumAID-all | climate | 0.4965 | none | 0.4407 | null | [
"Disaster",
"Crisis Informatics"
] | # HumAID: Human-Annotated Disaster Incidents Data from Twitter
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#... | 4,308 | 215 | boundary |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_949f33d5-f86f-45e2-88d1-765b7170d9ba | none | 0.6506 | code | 0.1759 | null | [] | 0 | 3 | normal | |
PJMixers/princeton-nlp_llama3-ultrafeedback-armorm-PreferenceShareGPT | none | 0.5589 | chemistry | 0.1267 | null | [
"preference",
"preferences"
] | 0 | 7 | normal | |
afraamn/polaris-r1-distill-7b | none | 0.6302 | climate | 0.1134 | null | [] | 0 | 4 | normal | |
VortexHunter23/MERGED-CODE-2 | none | 0.344 | code | 0.295 | null | [] | 0 | 3 | normal | |
sert121/adult_data_instruction_containing_a_e_m_o_s_h_test_shuffled_2 | none | 0.933 | legal | 0.0506 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_6_features
# Features Used
['age', 'education', 'marital-status', 'occupation', 'sex', 'hours-per-week']
## Dataset Description
Top 6 features selected from the adult datase... | 333 | 4 | normal |
Juanpablozarza292/speech-dani-v1 | none | 0.4318 | legal | 0.1113 | null | [] | 0 | 3 | normal | |
hewyler/AIRiskScenarios | cybersecurity | 0.9934 | none | 0.0031 | null | [
"ISO-42001",
"ISO-42005",
"COBIT-2019",
"GRC",
"ai-governance",
"internal-controls"
] | # AI Risk Scenarios & Control Library
## Dataset Summary
This dataset contains **100 Common AI Risk Scenarios** paired with specific **Control Activities**. It is designed to serve as the operational backbone for an **ISO/IEC 42001 (AI Management System)**.
While ISO 42001 provides the "What" (Requirements), this da... | 3,095 | 7 | new_discovery |
zjhhhh/iter2_ver2_scores_adversary_0 | none | 0.731 | code | 0.0796 | null | [] | 0 | 4 | normal | |
BangumiBase/aonomiburo | none | 0.9222 | code | 0.0592 | null | [
"art"
] | # Bangumi Image Base of Ao No Miburo
This is the image base of bangumi Ao no Miburo, we detected 45 characters, 6686 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models usin... | 15,271 | 924 | normal |
winnieyangwannan/entity-visual_gemma-3-12b-it_generated_responses | none | 0.8743 | code | 0.0413 | null | [] | 0 | 4 | normal | |
woohyunwoo/boxing_a_first_aid_kit | none | 0.8847 | code | 0.1122 | null | [
"so100",
"boxing a first aid kit"
] | 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",
"... | 4,672 | 11 | normal |
Asap7772/dapo-hint-generator-qwen3-14b-filtered-lr1e5-0-5000 | none | 0.8546 | code | 0.0841 | null | [] | 0 | 5 | normal | |
fady21/fady-llama2-1k | none | 0.7741 | biology | 0.073 | null | [] | 0 | 7 | normal | |
ifobito/vlsp2020-tts-tags-100h-v1 | none | 0.6007 | code | 0.0768 | null | [] | 0 | 7 | normal | |
alihmaou/bdnb_2023-11.a_batiment_groupe_adresse_29 | none | 0.7278 | chemistry | 0.09 | null | [] | 0 | 2 | normal | |
SEACrowd/phoatis | none | 0.9734 | code | 0.0117 | null | [
"intent-classification",
"slot-filling"
] | This is first public intent detection and slot filling dataset for Vietnamese. The data contains 5871 English utterances from ATIS that are manually translated by professional translators into Vietnamese.
## Languages
vie
## Supported Tasks
Intent Classification, Slot Filling
## Dataset Usage
### Using `datasets`... | 3,046 | 52 | normal |
Joooorrit/twitter_dataset_1718813201 | none | 0.5621 | climate | 0.1371 | null | [] | 0 | 4 | normal | |
yyyy76514263/data_first_12_07 | none | 0.9148 | code | 0.0701 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # data_first_12_07
**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. | 308 | 32 | normal |
reasoning-proj/exp_rob_dfiltered_Llama-3_1-Nemotron-Nano-8B-v1_madversarial_continue_with_wrong_reasoning_t50 | none | 0.5638 | math | 0.2671 | null | [] | 0 | 4 | normal | |
rudyon/lainchan-alpaca | none | 0.983 | legal | 0.0077 | null | [
"imageboard",
"programming"
] | # lainchan-alpaca
Alpaca style instruct dataset scraped from various boards on [lainchan](https://lainchan.org). The data was gathered from threads and replies on the boards /λ/, /Ω/, /lit/, /hum/, /inter/ and /Δ/.
This dataset was scraped with the intention to finetune a model with a "lainanon" like personality and ... | 696 | 37 | normal |
aaa961/vscode_bugs_combined_cleaned | code | 0.4443 | none | 0.2498 | null | [] | 0 | 6 | normal | |
jaekyoungbae/subtitle_sample.1M | none | 0.6126 | code | 0.1 | null | [] | 0 | 3 | normal | |
DopeorNope/new_instruct4 | none | 0.3047 | climate | 0.2423 | null | [] | 0 | 2 | normal | |
IAlsace/affichette_boulangerie | none | 0.926 | code | 0.023 | null | [] | > [!NOTE]
> Dataset origin: https://www.olcalsace.org/fr/affiches-cartes-et-signaletique
## Description
Elaborée en partenariat avec la Fédération patronale de la boulangerie du Haut-Rhin et du Bas-Rhin. | 210 | 6 | normal |
KULDIP1662/my-distiset-97d0cca7 | none | 0.8782 | code | 0.0974 | 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-97d0cca7
This dataset has been crea... | 1,612 | 4 | normal |
mlfoundations-dev/test_r1_7b_verifier_model_1743102486_eval_baa0 | none | 0.9898 | code | 0.0049 | null | [] | # mlfoundations-dev/test_r1_7b_verifier_model_1743102486_eval_baa0
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AIME25 | GPQADiamond | MATH500 |
|--------|------|------|-----------|-------|
| Accuracy | 52.0 | 36.7 | 22.2 | 85.0 |
### AIME24
- **Average Accurac... | 1,337 | 4 | normal |
kevin-ys-zhang/lerobot_libero_goal | none | 0.8832 | code | 0.1111 | 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",
"... | 3,879 | 13 | normal |
kgmyh/naver_economy_news_stock_instruct_dataset-100_samples | finance | 0.5188 | none | 0.3602 | null | [] | 0 | 6 | normal | |
TheFactoryX/edition_2035_tatsu-lab-alpaca-readymade | none | 0.9721 | code | 0.024 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2035_tatsu-lab-alpaca-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[tatsu-lab/alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
**What we di... | 930 | 4 | normal |
felixZzz/bespoke_sub1k_overlap-teacher_len32k_response-20-student_logps | none | 0.8477 | code | 0.0802 | null | [] | 0 | 4 | normal | |
mesolitica/google-image-malaysia-location-synthetic-qa | none | 0.9601 | cybersecurity | 0.026 | null | [] | # Google Image Malaysia Location Synthetic QA
Generate synthetic Visual QA on dedup images, download compressed pictures at https://huggingface.co/datasets/mesolitica/google-image-malaysia-location-dedup,
```bash
wget https://huggingface.co/datasets/mesolitica/google-image-malaysia-location-dedup/resolve/main/image.z... | 922 | 4 | normal |
felixZzz/bespoke_sub1k_nonoverlap-teacher_len32k_response-29 | none | 0.7402 | code | 0.1223 | null | [] | 0 | 5 | normal | |
Asap7772/aime_2025_responses_openthoughts-sft-qwen3-1.7b-lr1e5 | none | 0.8117 | finance | 0.0518 | null | [] | 0 | 4 | normal | |
croissantllm/CroissantLLM-2201-sft | biology | 0.6728 | none | 0.2682 | null | [] | # CroissantChat SFT data
```
@misc{faysse2024croissantllm,
title={CroissantLLM: A Truly Bilingual French-English Language Model},
author={Manuel Faysse and Patrick Fernandes and Nuno M. Guerreiro and António Loison and Duarte M. Alves and Caio Corro and Nicolas Boizard and João Alves and Ricardo Rei and P... | 572 | 15 | normal |
pierreqi/r_code_50k_filtered | none | 0.5334 | climate | 0.1173 | null | [] | 0 | 7 | normal | |
Lots-of-LoRAs/task1622_disfl_qa_text_modication | none | 0.9341 | biology | 0.0329 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1622_disfl_qa_text_modication
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066
- **Point... | 2,308 | 59 | normal |
b08x/llm_persona_interactions_othersteve003_csv | none | 0.7937 | code | 0.0511 | null | [
"aisheets",
"synthetic data"
] | 0 | 7 | normal | |
bongard-rwr-plus/bongard-rwr-plus-l3 | none | 0.6107 | code | 0.3251 | null | [] | # Bongard RWR+/L3
This is a variant of the dataset featuring three images per side. The original dataset, which includes six images per side, can be found [here](https://huggingface.co/datasets/bongard-rwr-plus/bongard-rwr-plus).
Bongard Problems (BPs) provide a challenging testbed for abstract visual reasoning (... | 3,125 | 9 | normal |
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