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 |
|---|---|---|---|---|---|---|---|---|---|---|
TAUR-dev/sft_acronym_4o_3000_end3300 | none | 0.5855 | code | 0.1139 | null | [] | 0 | 5 | normal | |
Aktsvigun/solve_riddles_step_by_step | none | 0.4216 | math | 0.2219 | null | [] | 0 | 4 | normal | |
Agytai/history_kz-qa-dataset | none | 0.6549 | climate | 0.1017 | null | [] | 0 | 12 | normal | |
french-open-data/table-de-passage-geographie-2022 | none | 0.844 | cybersecurity | 0.1212 | null | [
"geographie",
"ithea",
"ithea-conseil",
"passage",
"passage-geographie",
"dataset_for_agent"
] | # Table de passage géographie 2022
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Table de passage géographie 2022** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/63ce58ee7581eb7bf1686824
## Description
----------------------------... | 1,584 | 7 | normal |
berhaan/Turkish-CodeAlpaca-20k | code | 0.9041 | cybersecurity | 0.0507 | null | [
"instruction-tuning",
"math",
"code",
"programming",
"turkish"
] | # 🇹🇷 Turkish CodeAlpaca-20k
**Turkish CodeAlpaca-20k**, popüler **[CodeAlpaca-20k](https://huggingface.co/datasets/sahil2801/CodeAlpaca-20k)** veri kümesinin Türkçe çevirisidir.
Bu veri kümesi, **Türkçe kodlama görevlerinde instruction-tuning** yapmak isteyen modeller için hazırlanmıştır.
Tüm “instruction–input–... | 1,335 | 17 | new_discovery |
sodabori/20250905_SPBoN_64_last_1_agg_prod_norm_none_per_token_False_clip_True_20250917 | none | 0.749 | code | 0.1282 | null | [] | 0 | 6 | normal | |
TAUR-dev/skillfactory_yolo_2b_num_correct_1.1.2.1.2.3.1.2.3.4.1.2.3.4.5_num_incorrect_0.1.0.2.1 | none | 0.5891 | code | 0.4024 | null | [] | 0 | 4 | normal | |
yuruny/agentic-sudoku-Markov-qwen2.5-3B_9x9_6-6_SFT-5e-6-ans1-6k_prm0_actor-eval_results | none | 0.6069 | code | 0.3342 | null | [] | 0 | 8 | normal | |
geekyrakshit/test-chunk-dataset | none | 0.5709 | code | 0.1035 | null | [] | 0 | 10 | normal | |
Rutts07/mgap-sin_Sinh | chemistry | 0.565 | none | 0.1861 | null | [] | 0 | 5 | normal | |
macabdul9/SpokenTermDetection_LibriSpeech-TestClean | none | 0.353 | code | 0.2624 | null | [] | 0 | 3 | normal | |
kyssen/ice-cream | none | 0.3508 | biology | 0.2397 | null | [] | 0 | 4 | normal | |
akrishnan/BIOSR_hidden_qa_x10 | none | 0.3073 | climate | 0.1744 | null | [] | 0 | 64 | normal | |
buschbd7/chapter_127C_general_statutes | legal | 0.4787 | none | 0.2661 | null | [] | 0 | 8 | normal | |
aisi-whitebox/mo1xe_checkpoint_238_CyberMetric-2000_cot | cybersecurity | 0.8789 | none | 0.1124 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: mo1xe_checkpoint_238_CyberMetric-2000_cot
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-27.
### Model Information
- **Model**: `vllm/checkpoint-238`
- **Model args**: {'port': 36138, 'api_key': 'inspectai'}
... | 1,531 | 3 | new_discovery |
CJWeiss/LexGenZero_billsum | legal | 0.7805 | none | 0.1624 | null | [] | # Dataset Card for "LexGenZero_billsum"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 172 | 7 | normal |
ars22/imoproofbench_n4_t8_l32k2k_v03.00step000500_withdelimiter_1767594169 | none | 0.6588 | code | 0.1157 | null | [] | 0 | 8 | normal | |
TAUR-dev/D-EXP_ask_lm_if_is_correct__cd3arg__SIE-Countdown3arg-AU_BoN-rl | none | 0.5318 | code | 0.3545 | null | [] | 0 | 6 | normal | |
tinjyuu/eval_so101 | none | 0.9513 | code | 0.042 | 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",
"... | 2,943 | 7 | normal |
mlnomad/imnet1k_speedboat | none | 0.6918 | biology | 0.1197 | null | [] | 0 | 4 | normal | |
weichenh/self-alignment-data | none | 0.5627 | chemistry | 0.1663 | null | [] | 0 | 4 | normal | |
erickfmm/OpenLongCoT-Pretrain-ES | none | 0.8465 | biology | 0.0935 | null | [] | Translation to Spanish from https://huggingface.co/datasets/qq8933/OpenLongCoT-Pretrain
Code and model used for the data processing is available in Files section
Translated using "Helsinki-NLP/opus-mt-en-es" model | 216 | 5 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_354cb2e9-a333-4c5f-a040-3763e6632801 | none | 0.6173 | code | 0.1696 | null | [] | 0 | 3 | normal | |
DCAgent2/swebench_verified_random_100_folders_exp_psu_swesmith_1K_glm_4_7_traces_jupiterfdca0235 | none | 0.8732 | code | 0.0824 | null | [] | 0 | 7 | normal | |
velocity-engg/11labs_07-08-24_latin | none | 0.8012 | chemistry | 0.0542 | null | [] | 0 | 5 | normal | |
Ashima/qwen3_0.6b_pass8_top1 | none | 0.7867 | code | 0.1214 | null | [] | 0 | 14 | normal | |
CAS-SIAT-XinHai/ManiTable | none | 0.6643 | cybersecurity | 0.1378 | null | [] |  | 127 | 23 | normal |
DeepNLP/ICLR-2024-Accepted-Papers | none | 0.7246 | code | 0.1866 | null | [] | ## ICLR 2024 International Conference on Learning Representations 2024 Accepted Paper Meta Info Dataset
This dataset is collect from the ICLR 2024 OpenReview website (https://openreview.net/group?id=ICLR.cc/2024/Conference#tab-accept-oral) as well as the arxiv website DeepNLP paper arxiv (http://www.deepnlp.org/conten... | 4,346 | 4 | normal |
eirikfagerbakke/nlse1d | math | 0.5957 | chemistry | 0.2884 | null | [] | # 1D Cubic Nonlinear Schrödinger Equation (NLSE)
## Overview
This dataset contains numerical solutions to the **1D cubic nonlinear Schrödinger equation (NLS)**.
The governing equation is:
$$
i u_t = u_{xx} + u |u|^2.
$$
---
## Initial Conditions
The initial conditions are generated as **random periodic functions*... | 1,309 | 5 | normal |
myselfrew/llama3_8b_math_new_prompt_ratio045 | none | 0.4951 | math | 0.3721 | null | [] | 0 | 6 | normal | |
shiv96/convsersations_selfawareness_general_llama3.2-1B-it_small | none | 0.7316 | code | 0.1377 | null | [] | 0 | 4 | normal | |
ocisd4/stsbenchmark-sts_hn7 | none | 0.5682 | chemistry | 0.1215 | null | [] | 0 | 5 | normal | |
KoseiUemura/AfriInstruct-Data-amh | none | 0.5541 | biology | 0.0968 | null | [] | 0 | 11 | normal | |
Saleh11623/questionanswering-dataset | none | 0.4617 | finance | 0.1133 | null | [
"medical",
"clinical",
"healthcare",
"biology"
] | 0 | 9 | normal | |
the-french-artist/simple_hash_1_and_2 | none | 0.8473 | code | 0.0676 | null | [] | 0 | 3 | normal | |
brandontravel/time-zones-by-location | none | 0.8641 | climate | 0.0805 | null | [
"timezones",
"geography",
"travel",
"scheduling"
] | # Time Zones by Location Dataset
Countries, regions, and cities mapped to their primary IANA time zone.
## Files
- time_zones_by_location.csv
- time_zones_by_location.jsonl
## Schema
| Field | Description |
|------|-------------|
| country | Country name |
| iso2 | ISO 3166-1 alpha-2 code |
| city | Major city |
| ... | 530 | 18 | normal |
yuntian-deng/fuzzy-bench-gpt52-2.75m | none | 0.6772 | code | 0.1945 | null | [] | 0 | 22 | normal | |
french-open-data/archives-ens-de-haute-savoie-2015-2022 | biology | 0.6724 | none | 0.2041 | null | [
"amenagement",
"annecy",
"auvergne-rhone-alpes",
"cartographie",
"environnement",
"environnement-biodiversite",
"esri",
"geographie",
"grand-annecy",
"haute-savoie",
"nature",
"qgis",
"rhone-alpes",
"shape",
"shapes",
"sig",
"territoire",
"dataset_for_agent"
] | # Archives_ENS de Haute-Savoie_2015-2022
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Archives_ENS de Haute-Savoie_2015-2022** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/66967b7cbcc55e5fd24468b8
## Description
Archives ENS de H... | 946 | 7 | normal |
DCAgent/staqc_10_expert_traces_test | none | 0.4746 | code | 0.2488 | null | [] | 0 | 10 | normal | |
Asap7772/arc-agi-mixed-max4096-newqwen-sft1e-5-test-abs-improvedabs-prompt-gen-2of8 | none | 0.9765 | code | 0.0081 | null | [] | 0 | 3 | normal | |
french-datasets/Mathlesage_evoprompt-pairs-lot_asm_86c00e | none | 0.4834 | math | 0.4832 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [Mathlesage/evoprompt-pairs-lot_asm_86c00e](https://huggingface.co/datasets/Mathlesage/evoprompt-pairs-lot_asm_86c00e). | 207 | 5 | normal |
TAUR-dev/SIE_EVAL__SIEXP_first_response_filtered_to_correct_lm2d__sft__samples__bf_evaluated | none | 0.7539 | chemistry | 0.0911 | null | [] | 0 | 4 | normal | |
Manivarma/ai4bharat_telugu_dataset | none | 0.6631 | code | 0.0508 | null | [] | 0 | 148 | normal | |
HiHiAllen/Imaginarium-Dataset | none | 0.8602 | code | 0.0457 | null | [
"3d"
] | # Imaginarium: Vision-guided High-Quality 3D Scene Layout Generation
**SIGGRAPH ASIA 2025 & ACM Transactions on Graphics (TOG)**
## 📖 Introduction
**Imaginarium** is a novel vision-guided 3D layout generation system that addresses the challenges of generating logically coherent and visually appealing customized scen... | 2,433 | 132 | normal |
gjyotin305/Llama-3.2-3B-Instruct_unsloth_w_new_merged_prefill_hhexphi_tp0.9 | none | 0.4451 | biology | 0.2137 | null | [] | 0 | 4 | normal | |
valeriylo/Pix2PixHD_YandexMaps | none | 0.8942 | climate | 0.034 | null | [
"GAN",
"CV",
"RU",
"VAE",
"Diffusion",
"Flows",
"img2img"
] | The dataset was obtained using the [web crowdsourcing GIS service of Yandex Maps](https://n.maps.yandex.ru/), with a custom written web scrapper. </br>
The main advantages of this dataset are the high quality of the images and the focus on Russian urban areas. </br>
This dataset is the only* image dataset for the img2i... | 872 | 22 | normal |
Lyrasilas/eval_ep500_seed1_default_car_less_zoom_10000_circle_small | none | 0.9435 | 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": "v2.1",
"... | 2,709 | 61 | normal |
buschbd7/chapter_135_general_statutes | legal | 0.5095 | none | 0.2629 | null | [] | 0 | 7 | normal | |
permain36/humanoid-akik-data | none | 0.6841 | biology | 0.1669 | null | [] | 0 | 6 | normal | |
synthgen/WE3DS-small | biology | 0.9918 | none | 0.006 | null | [
"image",
"semantic-segmentation",
"agriculture",
"weed-detection",
"crop-farming",
"computer-vision",
"rgb-d",
"plant-species"
] | # WE3DS-small: A 576-Image Subset of WE3DS - https://zenodo.org/records/7457983
> **This is a curated subset of [synthgen/WE3DS](https://huggingface.co/datasets/synthgen/WE3DS). All credit goes to the original authors.**
## Overview
A lightweight **576-image subset** of the WE3DS dataset, designed for quick prototyp... | 3,746 | 14 | new_discovery |
saumyamalik/filtered-wc-sample-500k-unused-gemma3 | none | 0.615 | code | 0.0905 | null | [] | 0 | 8 | normal | |
RobotisSW/koch_test_2 | none | 0.9139 | code | 0.0819 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.0",
"... | 3,581 | 4 | normal |
tim-lawson/sae-pythia-70m-deduped-x64-k32-tfm-layers-4-dists | none | 0.5331 | chemistry | 0.1326 | null | [] | 0 | 5 | normal | |
HungVu2003/gemma-2b_beta_0.0_alpha_0.0_num-company_3_dataset_1_for_gen_12 | none | 0.9233 | code | 0.0276 | null | [] | 0 | 4 | normal | |
Menoviar28/menov62 | none | 0.4579 | biology | 0.2708 | null | [
"art"
] | 0 | 6 | normal | |
kgr123/quality_counter_3500 | none | 0.4196 | chemistry | 0.2345 | null | [] | 0 | 3 | normal | |
hirundo-io/bbq-race-bias-free-text-refusal | none | 0.7681 | biology | 0.0519 | null | [] | 0 | 39 | normal | |
arcobi/eval_act_so101_5 | none | 0.9182 | code | 0.075 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=arcobi/eval_act_so101_5">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.s... | 3,248 | 24 | normal |
cfpark00/toy-multistep-nn_20-na_5-nab_30-seed_2 | none | 0.7527 | chemistry | 0.0975 | null | [] | 0 | 4 | normal | |
bluephysi01/so101_test17 | none | 0.9482 | code | 0.0452 | 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 | 6 | normal |
rishabhrj11/cnn_dailymail_512 | none | 0.5464 | climate | 0.0807 | null | [] | 0 | 7 | normal | |
TeetouchQQ/dataset1_vi_v2 | none | 0.5109 | climate | 0.1214 | null | [] | 0 | 16 | normal | |
maanas-writer/memagent_eval_vt_262144 | none | 0.5499 | chemistry | 0.1343 | null | [] | 0 | 5 | normal | |
1231czx/fixedbeta05_no_sft_llama3_sft_math_dpo_type1_7ktype2_8ktype4_7ktype3_ver2_350tmp10_vllmexp | none | 0.8709 | math | 0.0658 | null | [] | 0 | 3 | normal | |
xiaoyuanliu/HELMET_infbench_choice_eng_130862__eval | none | 0.6259 | math | 0.0863 | null | [] | 0 | 15 | normal | |
hamishivi/tulu_3_rewritten_400k_string_f1_only | none | 0.7669 | code | 0.1159 | null | [] | 0 | 4 | normal | |
bbbu801/evocorps-positive-personas | none | 0.9648 | code | 0.0096 | null | [] | # 🧑🤝🧑 EvoCorps Positive Personas Dataset
## 📌 Dataset Overview
The **EvoCorps Positive Personas Dataset** is a curated collection of *positive user persona profiles* designed to support research and modeling around **constructive online engagement, balanced discourse, and community behavior simulation**. Each p... | 2,623 | 10 | normal |
bernard-ng/drc-names-corpus | none | 0.6803 | code | 0.0914 | null | [] | 0 | 7 | normal | |
D1rtyB1rd/Beloved-Everyday-Conversations | none | 0.9899 | code | 0.0078 | null | [] | Original :
everyday-conversations-llama3.1-2k (modified)
Now D1rtyB1rd/Beloved-Everyday-Conversations'
is a collection of multi-turn dialogues between users and an AI assistant. The assistant now takes on a more personal and friendly tone in its responses, resembling a close, conversational style. For example, the ass... | 663 | 7 | normal |
TheMrguiller/Qwen3-30B-A3B-Instruct-2507-FP8_detoxificability_annotation_error_analysis | none | 0.5616 | biology | 0.1666 | null | [] | 0 | 7 | normal | |
aduarte1/justice_d_c_comparison | none | 0.5905 | code | 0.0866 | null | [] | 0 | 6 | normal | |
prithivMLmods/Age-Classification-Set | none | 0.8473 | medical | 0.0601 | biology | [
"Age",
"Classification",
"0-65+",
"biology"
] | # Image Classification Age Range Labels
This repository uses the following labels to categorize age ranges in image classification tasks:
> [!Warning]
> labels_list = ['0-12', '13-20', '21-44', '45-64', '65+']
the values are age range in iamge classification give the README.MD for Repository
* **0-12**: Images depi... | 738 | 209 | tag_disagree |
snagat/price-repo-data | finance | 0.6162 | none | 0.1984 | null | [] | 0 | 5 | normal | |
KMH158-QLU/recruiter_perfect | none | 0.7864 | code | 0.1906 | null | [
"ui-automation",
"gui-agent",
"multi-video"
] | # UI Automation Dataset (Multi-Video)
**2 examples** from **1 videos** - UI automation tasks from screen recordings.
## Dataset Structure
Each entry contains:
- **video_id**: Sequential ID for each video (video_001, video_002, etc.)
- **step**: Step number within that video (0, 1, 2, ...)
- **system**: System prompt... | 1,096 | 8 | normal |
5525FP/simple_wikipedia-conspiracies | none | 0.3381 | legal | 0.2771 | null | [] | 0 | 4 | normal | |
yoonholee/math-hints-context_hint_v4_multiple-o3-mini | math | 0.5917 | none | 0.3082 | null | [] | 0 | 4 | normal | |
zzzzzzzzzzzjh/record-test | none | 0.9188 | code | 0.0762 | 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",
"... | 3,584 | 4 | normal |
AlexLevin123/123 | finance | 0.4157 | none | 0.2911 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## D... | 4,360 | 4 | boundary |
1231czx/math_stage2_hard1_10 | math | 0.3264 | none | 0.3058 | null | [] | 0 | 4 | boundary | |
pod2c/AIF_dataset_Simplified | none | 0.5073 | climate | 0.1254 | null | [] | 0 | 4 | normal | |
mlfoundations-dev/openthoughts3_30k-filter-thought-4096-tokens-conversations_eval_5554 | none | 0.8829 | code | 0.1154 | null | [] | # mlfoundations-dev/openthoughts3_30k-filter-thought-4096-tokens-conversations_eval_5554
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces | HLE | HMMT | AIME25 | LiveCodeBenchv5 ... | 4,461 | 9 | normal |
zaringleb/so100_test_3 | none | 0.9458 | code | 0.0458 | 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",
"... | 2,307 | 16 | normal |
Lots-of-LoRAs/task631_dbpedia_14_incorrect_answer_generation | none | 0.9631 | biology | 0.0146 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task631_dbpedia_14_incorrect_answer_generation
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00... | 2,321 | 11 | normal |
Kendamarron/japanese-photo-instruction | none | 0.9701 | code | 0.0183 | null | [] | ## Dataset Information
このデータセットは、[ThePioneer/japanese-photos](https://huggingface.co/datasets/ThePioneer/japanese-photos)の写真をお借りして、
- [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct)
- [Qwen/Qwen2.5-32B-Instruct-AWQ](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct-AWQ)
の2つのモデルを使って生成した合成... | 391 | 5 | normal |
extralit-dev/test_import_dataset_from_hub_with_classlabel_471970f0-415e-49c2-8979-d6fa0a2d76e6 | none | 0.7639 | code | 0.0742 | null | [] | 0 | 4 | normal | |
Batonchegg/bimanual_blue_block_handover_2 | none | 0.923 | code | 0.0733 | 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",
"... | 4,779 | 54 | normal |
blackerx/turkish_v2 | none | 0.5177 | biology | 0.1601 | null | [] | 0 | 12 | normal | |
sarahpann/PKU_SafeRLHF_simp | chemistry | 0.3734 | none | 0.2822 | null | [] | 0 | 4 | boundary | |
cijerezg/eval_push_policy_v225 | none | 0.9367 | code | 0.0596 | 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",
"... | 2,939 | 5 | normal |
slprl/SpokenSwag | none | 0.972 | code | 0.0217 | null | [] | # SpokenSwag
We present here SpokenSwag as described in the paper ["_Slamming_: Training a Speech Language Model on One GPU in a Day"](https://arxiv.org/abs/2502.15814).
This dataset is based on [allenai/swag](https://huggingface.co/datasets/allenai/swag) and synthetised with 4 speakers from [hexgrad/Kokoro-82M](https:... | 2,856 | 89 | normal |
joyfine/router_PEFT_data_Math_self_generation_Qwen3-8B | none | 0.4977 | code | 0.2395 | null | [] | 0 | 4 | normal | |
dipta007/Q2E_MultiVENT_LLAMA_3.3_70B_InternVL_38B_Fscene_detect_16_ASR | none | 0.4575 | biology | 0.2671 | null | [] | 0 | 5 | normal | |
tmpmodelsave/beta05dpollama3_it_gsm8k_6ktype4_with_sft_loss_500tmp07 | none | 0.6767 | code | 0.1237 | null | [] | 0 | 4 | normal | |
adriansanz/mixture_v2_ca-tmp | none | 0.5745 | climate | 0.1119 | null | [] | 0 | 6 | normal | |
crystantine/fluxgym | code | 0.8408 | none | 0.1229 | null | [] | # Flux Gym
Dead simple web UI for training FLUX LoRA **with LOW VRAM (12GB/16GB/20GB) support.**
- **Frontend:** The WebUI forked from [AI-Toolkit](https://github.com/ostris/ai-toolkit) (Gradio UI created by https://x.com/multimodalart)
- **Backend:** The Training script powered by [Kohya Scripts](https://github.com/... | 7,383 | 183 | new_discovery |
alvinming/science_500 | chemistry | 0.4081 | none | 0.3568 | null | [] | 0 | 55 | boundary | |
code-rag-bench/programming-solutions | code | 0.8201 | none | 0.1477 | code | [
"code"
] | The programming solutions retrieval source for [code-rag-bench](), comprising programming solutions for the HumanEval and MBPP datasets. | 136 | 164 | normal |
hayden-donnelly/colored-primitives | none | 0.8803 | cybersecurity | 0.0321 | null | [] | # Colored Primitives
A toy dataset for unconditional image generation. It consists of 152k renders of 3D primitives at a resolution of 128x128 pixels.
## Metadata
- Image resolution: 128x128
- Image ... | 356 | 29 | normal |
RainyNight17/eval_vscode-test2 | none | 0.9295 | code | 0.0648 | 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 | 10 | normal |
1231czx/llama31_chat_format_10k_yespart_no_mask_ep2tmp0 | none | 0.8431 | climate | 0.066 | null | [] | 0 | 5 | normal |
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