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 |
|---|---|---|---|---|---|---|---|---|---|---|
IDEA-AI4S/LPM-24_molgen_extra-SFT | chemistry | 0.5751 | none | 0.2027 | null | [] | 0 | 16 | normal | |
CodeTheory/demo | code | 0.7024 | none | 0.284 | null | [
"rlfh",
"argilla",
"human-feedback"
] | # Dataset Card for demo
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datasets).
... | 15,547 | 15 | normal |
llm-aes/meva_full_score_only | none | 0.6718 | climate | 0.1242 | null | [] | 0 | 5 | normal | |
mvhk/bi-so101-dataset17 | none | 0.951 | code | 0.0347 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=mvhk/bi-so101-dataset17">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.s... | 3,888 | 24 | normal |
NewstaR/CoTton-R10528-Math | none | 0.7055 | biology | 0.0818 | null | [] | 0 | 4 | normal | |
HungVu2003/opt-350m_beta_1.0_alpha_0.2_num-company_3_dataset_2_for_gen_4 | none | 0.8958 | biology | 0.0317 | null | [] | 0 | 4 | normal | |
bismarck91/deA-enA-tokenised-GLMIV-qwen-sem-sem | none | 0.8356 | biology | 0.0707 | null | [] | 0 | 14 | normal | |
UCSB-SURFI/SeCodePLT | none | 0.3127 | chemistry | 0.1741 | null | [] | 0 | 188 | normal | |
VERTEXAS/app.py | code | 0.2544 | climate | 0.2324 | null | [] | 0 | 4 | boundary | |
mteb/GeorgianSentimentClassification | none | 0.9846 | code | 0.0123 | 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... | 7,400 | 5 | normal |
kaiwenw/combine_1.5B_7B_and_32B | chemistry | 0.4006 | none | 0.3787 | null | [] | 0 | 8 | boundary | |
harangstar/bert-dataset | none | 0.5366 | climate | 0.1452 | null | [] | 0 | 3 | normal | |
edwardyeung04/cat_bowl_25_new_obs | none | 0.941 | code | 0.0534 | 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",
"... | 2,946 | 33 | normal |
Joooorrit/twitter_dataset_1718521201 | none | 0.5715 | climate | 0.1274 | null | [] | 0 | 3 | normal | |
sert121/ad_instruct_containing_a_e_m_o_r_r_s_h_test | none | 0.9154 | legal | 0.0618 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_8_features
# Features Used
['education', 'age', 'hours-per-week', 'marital-status', 'occupation', 'sex', 'relationship', 'race']
## Dataset Description
Top 8 features select... | 357 | 4 | normal |
MikeGreen2710/the_rest_train_data | none | 0.6421 | climate | 0.1266 | null | [] | 0 | 5 | normal | |
bigwhitekmc/common | none | 0.5614 | climate | 0.1226 | null | [] | 0 | 4 | normal | |
Charles95/gsm8k | none | 0.4186 | chemistry | 0.1742 | null | [] | 0 | 7 | normal | |
open-llm-leaderboard-old/details_mahiatlinux__MasherAI-v6.1-7B-checkpoint3 | none | 0.9521 | code | 0.0445 | null | [] | # Dataset Card for Evaluation run of mahiatlinux/MasherAI-v6.1-7B-checkpoint3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [mahiatlinux/MasherAI-v6.1-7B-checkpoint3](https://huggingface.co/mahiatlinux/MasherAI-v6.1-7B-checkpoint3) on the [Open LLM L... | 19,324 | 7 | normal |
weqweasdas/qwen15b_train_simple_subset5k_for_difficulty_transition | none | 0.7657 | code | 0.1273 | null | [] | 0 | 11 | normal | |
ImanNalia/latest_coraal_train | none | 0.9797 | code | 0.0101 | null | [] | # Dataset Card for "latest_coraal_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 173 | 5 | normal |
sjleslie/MGEN_StrippedQs_B_split_slimpj_context_len_3__bs018 | none | 0.5739 | code | 0.2352 | null | [] | 0 | 5 | normal | |
french-open-data/la-protection-des-mineurs-en-ligne-2025 | cybersecurity | 0.8279 | none | 0.1402 | null | [
"adolescents",
"adultes-mal-intentionnes",
"arnaques",
"contenus-choquants",
"cyberharcelement",
"defis-dangereux",
"education-aux-medias",
"hyperconnexion",
"numerique",
"parents",
"plateformes",
"reseaux-sociaux",
"risques",
"dataset_for_agent"
] | # La protection des mineurs en ligne - 2025
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **La protection des mineurs en ligne - 2025 ** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/68d4f87926ec7aed68ef531c
## Description
Etude qua... | 1,389 | 9 | new_discovery |
ping98k/lmsys-chat-1m-thai-filtered | none | 0.9635 | code | 0.0302 | null | [] | Filter with following code:
```
def has_thai_char(text):
for char in text:
if 0x0E00 <= ord(char) <= 0x0E7F:
return True
return False
def contains_thai(conversation):
for turn in conversation:
if has_thai_char(turn["content"]):
return True
return False
``` | 314 | 5 | normal |
LyKhoai9703/dataset_2981 | none | 0.523 | climate | 0.1095 | null | [] | 0 | 4 | normal | |
Self-GRIT/tulu-v2-sft-mixture-second-stage-classifier-v1-stage2-multiple-choice-outputs-dummy | none | 0.9395 | code | 0.0523 | null | [] | 0 | 4 | normal | |
MBZUAI/GeoChat_Instruct | none | 0.9278 | code | 0.0427 | null | [] | # GeoChat_Instruct
GeoChat_Instruct is a 318k instruction tuning dataset for Remote Sensing, comprising of LRBEN, NWPU_captions, SOTA, SIOR and FAST.
<!-- Provide a longer summary of what this model is. -->
- **Developed by MBZUAI**
### Model Sources
<!-- Provide the basic links for the model. -->
- **Repository:*... | 867 | 379 | normal |
moulee7788/my_dataset | none | 0.4522 | climate | 0.1268 | null | [] | 0 | 16 | normal | |
ahmedheakl/stack_300k_O2_arm | none | 0.5312 | chemistry | 0.1427 | null | [] | 0 | 8 | normal | |
iproskurina/bias-in-bios-qwen-warmstart-iter3-seed35-temp0.9 | none | 0.8968 | code | 0.0274 | null | [] | 0 | 5 | normal | |
marcellobullo/tinyllama-hh-10K-seed123-prop0.01 | none | 0.4567 | biology | 0.409 | null | [] | 0 | 6 | normal | |
longmathqh/guanaco-llama2-1k | none | 0.5548 | math | 0.1434 | null | [] | 0 | 4 | normal | |
Doub7e/SDv2-Count70-details-appended-violin | none | 0.6162 | biology | 0.1731 | null | [] | 0 | 4 | normal | |
zwhe99/gsm8k | none | 0.3902 | chemistry | 0.2069 | null | [] | 0 | 54 | normal | |
Crandor1015/Data_Set_10 | none | 0.7267 | code | 0.1844 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # Data_Set_10
**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 robotics, [get you... | 376 | 11 | normal |
tmeynier/test_hepha_record_42 | none | 0.9143 | code | 0.0756 | 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",
"... | 3,666 | 41 | normal |
DCAgent/DCAgent_dev_set_71_tasks_DCAgent_code-contests-sandboxes-traces-terminus-2_learn72e6822b | code | 0.7163 | none | 0.267 | null | [] | 0 | 10 | normal | |
leoschneider/daytrader-evals | none | 0.5262 | finance | 0.3281 | null | [] | 0 | 12 | normal | |
TheFactoryX/edition_0296_newtextdoc1111-danbooru-tag-csv-readymade | none | 0.9886 | code | 0.0103 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0296_newtextdoc1111-danbooru-tag-csv-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[newtextdoc1111/danbooru-tag-csv](https://huggingface.co/datasets/newtextdoc1111/danbooru-tag-csv)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and... | 975 | 5 | normal |
nepyope/unitree_box_push_30fps_actions_fix | none | 0.8873 | code | 0.1064 | 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",
"... | 3,286 | 11 | normal |
supergoose/flan_combined_task186_snli_contradiction_to_entailment_text_modification | none | 0.7536 | code | 0.082 | null | [] | 0 | 4 | normal | |
vietnhat/sara-higgs-metadata4_v2 | none | 0.4565 | climate | 0.1844 | null | [] | 0 | 4 | normal | |
BAAI-DataCube/robomind_benchmark1_0_release_franka_3rgb_pick_up_strawberry_in_bowl | none | 0.8217 | code | 0.1572 | null | [] | # benchmark1_0_release_franka_3rgb_pick_up_strawberry_in_bowl
This dataset converts the Robomain format uniformly into LeRobot V3.0.
## Dataset Statistics
本体: franka_3rgb
末端执行器: 夹爪
任务平台显示版: 将草莓捡起放入碗中
total_episodes: 258
total_tasks: 1
size: 276.3M
## Dataset Structure
```
├── data
│ └── chunk-xxx
│ ├── file-... | 958 | 34 | normal |
sungyub/eurus-2-code-verl | code | 0.999 | none | 0.0006 | code | [
"code",
"reasoning",
"rlhf",
"verl"
] | # Eurus-2-Code-RL (VERL Format)
This dataset contains **25,276** competitive programming problems from the Eurus-2-RL-Data dataset, filtered and converted to VERL format for reinforcement learning training workflows.
**Source**: [PRIME-RL/Eurus-2-RL-Data](https://huggingface.co/datasets/PRIME-RL/Eurus-2-RL-Data)
**L... | 7,489 | 19 | normal |
rita1706/dotsocr_bank_statement_1K_v2 | none | 0.7606 | finance | 0.178 | null | [] | # dotsocr_bank_statement_1K
## Dataset Description
This dataset contains OCR and layout analysis training data formatted according to DotsOCR specifications by rednote-hilab.
## DotsOCR Format Features
- **Proper Reading Order**: Layout elements are sorted according to natural reading order (top to bottom, left to ... | 1,664 | 5 | normal |
Sakai0920/dbbench-distilled-qwen3-14b-multiturn | none | 0.5575 | chemistry | 0.1758 | null | [] | 0 | 11 | normal | |
oxe-auge/language_table_train_85000_90000_augmented | none | 0.9489 | code | 0.0461 | null | [
"robotics",
"oxe-auge",
"dataset"
] | # language_table_train_85000_90000_augmented
## Overview
- **Codebase version**: `v3.0`
- **Robots**: google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e
- **FPS**: 10
- **Episodes**: 5,000
- **Frames**: 80,002
- **Splits**:
- `train`: `0:5000`
## Data Layout
```text
data_path : data/chunk-{chunk_... | 7,282 | 12 | normal |
tayyibsupercool/resource_allocation_telecom_energy_efficiency_rician_k_8_instruct_10k | none | 0.7846 | code | 0.0554 | null | [] | 0 | 4 | normal | |
eruedas/so101_3cams_pickplace-red-lego_real | none | 0.9018 | code | 0.0941 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 4,377 | 22 | normal |
Hydra-2025/hydra | none | 0.51 | climate | 0.2498 | null | [] | 0 | 8 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_1a652a8a-a055-4299-be99-2ffa3210290e | none | 0.7311 | code | 0.1682 | null | [] | 0 | 3 | normal | |
electricsheepafrica/nigerian_realestate_land_disputes | finance | 0.9302 | legal | 0.0334 | null | [
"nigeria",
"real-estate",
"property",
"housing",
"land-administration-and-titles"
] | # Nigeria Real Estate – Land Disputes
## Dataset Description
Synthetic Land Administration & Titles data for Nigeria real estate sector.
**Category**: Land Administration & Titles
**Rows**: 50,000
**Format**: CSV, Parquet
**License**: MIT
**Synthetic**: Yes (generated using reference data from PropertyPro, K... | 4,288 | 17 | new_discovery |
123Divyansh/Constitution.-of-India-TXT_File | legal | 0.9843 | none | 0.0133 | legal | [
"constitution",
"india",
"legal",
"text",
"raw-text"
] | # Indian Constitution Dataset
This dataset contains the complete text of the **Indian Constitution**. It is provided as a raw text file and can be used for legal NLP tasks, text analysis, or reference purposes. This dataset includes all the articles, provisions, and sections of the Constitution of India.
## Dataset D... | 993 | 19 | normal |
omkar6699/openworlds-ad-trajectories | cybersecurity | 0.9961 | code | 0.0025 | cybersecurity | [
"cybersecurity",
"pentesting",
"active-directory",
"openworlds"
] | # OpenWorlds AD Penetration Testing Trajectories
Synthetic training trajectories for fine-tuning AI agents on Active Directory penetration testing.
## Dataset Description
Each trajectory is a complete attack path from **initial access** to **Domain Admin**, formatted as multi-turn chat conversations with:
- **Syste... | 1,423 | 16 | normal |
PJMixers-Dev/WizardLMTeam_WizardLM_evol_instruct_70k-ShareGPT-split | none | 0.3332 | code | 0.2263 | null | [] | 0 | 7 | normal | |
OALL/details_mobiuslabsgmbh__DeepSeek-R1-ReDistill-Llama3-8B-v1.1_v2_alrage | none | 0.8475 | code | 0.1254 | null | [] | # Dataset Card for Evaluation run of mobiuslabsgmbh/DeepSeek-R1-ReDistill-Llama3-8B-v1.1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [mobiuslabsgmbh/DeepSeek-R1-ReDistill-Llama3-8B-v1.1](https://huggingface.co/mobiuslabsgmbh/DeepSeek-R1-ReDistill-L... | 5,729 | 4 | normal |
TAUR-dev/D-variation_test_cd3arg__m_1b_zayne_testing_20 | none | 0.5891 | code | 0.191 | null | [] | 0 | 5 | normal | |
AlanRobotics/Qwen2.5-1.5B-Instruct-dvts-prm-completions | code | 0.6746 | none | 0.298 | null | [] | 0 | 4 | normal | |
ntnu-arl/underwater-datasets | none | 0.8574 | biology | 0.0469 | null | [] | ---
# Multi-Camera Underwater Visual-Inertial Dataset
[](https://opensource.org/licenses/BSD-3-Clause)
## About
This repository hosts the **Multi-Camera Underwater Visual-Inertial Dataset** collected by the [Autonomous Robots Lab, NTNU](https://www.... | 6,102 | 176 | normal |
explintr/capitals-stained | none | 0.6126 | finance | 0.0656 | null | [] | 0 | 9 | normal | |
lihaoxin2020/ki_extraction-4b-lmeval-qwen-instruct-synthetic_1_stem_only-sft-temp0.6-on-mmlu_pro-0sh-5b0b81f0 | none | 0.78 | code | 0.1659 | null | [] | 0 | 7 | normal | |
maujim/place_bagel_on_jig | none | 0.9113 | code | 0.0848 | null | [
"so100",
"Place Bagel"
] | 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",
"... | 3,585 | 15 | normal |
qwselfcorr/numia_n8_turn2_corr | none | 0.3676 | chemistry | 0.3149 | null | [] | 0 | 7 | normal | |
1231czx/fixed_beta05_llama3_sft_math_type1_7ktype2_7ktype3_step200 | none | 0.517 | math | 0.2555 | null | [] | 0 | 3 | normal | |
uzair921/QWEN_SKILLSPAN_EMBEDDINGS_TEXT_LLM_RAG_75_openai_Text | none | 0.4703 | code | 0.2821 | null | [] | 0 | 4 | normal | |
colabfit/OC22-S2EF-Validation-out-of-domain | chemistry | 0.9604 | none | 0.0227 | null | [
"molecular dynamics",
"mlip",
"interatomic potential"
] | ### <details><summary>Cite this dataset </summary>Tran, R., Lan, J., Shuaibi, M., Wood, B. M., Goyal, S., Das, A., Heras-Domingo, J., Kolluru, A., Rizvi, A., Shoghi, N., Sriram, A., Therrien, F., Abed, J., Voznyy, O., Sargent, E. H., Ulissi, Z., and Zitnick, C. L. _OC22-S2EF-Validation-out-of-domain_. ColabFit, 2023. h... | 2,960 | 8 | new_discovery |
JanHutter/TTA_AIME_Qwen2.5-Math-1.5B_64_dataset | math | 0.5759 | none | 0.2131 | null | [] | 0 | 3 | normal | |
KathirKs/CC-MAIN-2016-44_row_wise_20240922_074416 | none | 0.5114 | biology | 0.1616 | null | [] | 0 | 3 | normal | |
kothasuhas/commbin5_debug1-val-ctx128-1000 | none | 0.5221 | code | 0.2981 | null | [] | 0 | 4 | normal | |
SallySims/DEIChat | none | 0.3529 | biology | 0.2862 | null | [] | 0 | 4 | normal | |
lingcon/LiTEN-FF-Experimental-Dataset-Structure | chemistry | 0.9987 | none | 0.0008 | null | [] | ## 📁 **LiTEN-FF EXP: Experimental Dataset Structure**
The **LiTEN-FF EXP** directory contains the raw experimental data and simulation inputs used for validating the LiTEN-FF model across multiple molecular systems and tasks.
```
LiTEN-EXP/
│
├── ala2_free_energy/
├── ala3/
├── ala4_enhance_sampling/
├── ala5/
├── c... | 1,234 | 2 | new_discovery |
rntc/cc-ii-fr | none | 0.5421 | biology | 0.1287 | null | [] | 0 | 7 | normal | |
lichangh20/minervamath | none | 0.4268 | math | 0.0852 | null | [] | 0 | 5 | normal | |
jmercat/so100_mouse_in_cup_2 | none | 0.9291 | code | 0.064 | 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",
"... | 2,599 | 24 | normal |
danjacobellis/musdb_segments_val | none | 0.538 | code | 0.1331 | null | [] | 0 | 4 | normal | |
DGurgurov/urdu_sa | none | 0.9827 | code | 0.0142 | null | [] | ## Sentiment Analysis Data for the Urdu Language
**Dataset Description:**
This dataset contains a sentiment analysis dataset from Khan et al. (2020).
**Data Structure:**
The data was used for the project on [improving word embeddings with graph knowledge for Low Resource Languages](https://github.com/pyRis/retrofitti... | 1,753 | 9 | normal |
FrankYuzhe/eval_act_andy_tube_20260202_185852 | none | 0.9072 | code | 0.088 | 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",
"... | 3,576 | 15 | normal |
myrtotsok/clf-noSbI-fixGQA | none | 0.3275 | code | 0.2758 | null | [] | 0 | 5 | normal | |
TAUR-dev/v3_12d_eval | none | 0.7186 | math | 0.2479 | null | [
"curator"
] | <a href="https://github.com/bespokelabsai/curator/">
<img src="https://huggingface.co/datasets/bespokelabs/Bespoke-Stratos-17k/resolve/main/made_with_curator.png" alt="Made with Curator" width=200px>
</a>
## Dataset card for v3_12d_eval
This dataset was made with [Curator](https://github.com/bespokelabsai/curator/).... | 7,410 | 3 | normal |
Sreevishakh/handle_40 | none | 0.9277 | code | 0.0669 | 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",
"... | 2,948 | 7 | normal |
jacobmorrison/tulu-3-sft-L3.3-thoughts | none | 0.761 | code | 0.0844 | null | [] | 0 | 3 | normal | |
James096/reddit_dataset_39 | none | 0.8838 | cybersecurity | 0.0432 | null | [] | # Bittensor Subnet 13 Reddit 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/resolve... | 5,407 | 25 | normal |
kjngansgfa/dataset_a4dvh9mj | none | 0.4778 | chemistry | 0.1166 | null | [] | 0 | 4 | normal | |
YuminChoi/SafeChain-benign-20k-Star-harm-20k | none | 0.7344 | cybersecurity | 0.0806 | null | [] | 0 | 11 | normal | |
nikolina-p/mini_gutenberg_splits | none | 0.9404 | code | 0.0546 | null | [] | # Dataset Card for Mini Project Gutenberg Dataset
This dataset is a mini subset of the dataset [nikolina-p/gutenberg_clean_en](https://huggingface.co/datasets/nikolina-p/gutenberg_clean_en), created for **learning, testing streaming datasets, and quick downloading and manipulation**.
It is made from the first 24 boo... | 1,028 | 9 | normal |
DCAgent2/DCAgent2_terminal_bench_2_DCAgent_taskmaster2-16ep_20251130_195556 | none | 0.4841 | code | 0.4468 | null | [] | 0 | 9 | normal | |
skrishna/cti-mcq | none | 0.3813 | biology | 0.309 | null | [] | 0 | 4 | normal | |
marcomaccarini/blind_1_3_tasks | none | 0.6402 | code | 0.0966 | null | [] | 0 | 2 | normal | |
alezzandro/itsm_tickets | none | 0.4713 | code | 0.2116 | null | [] | 0 | 4 | normal | |
trojblue/danbooru2025-metadata | none | 0.8466 | code | 0.1329 | null | [] | <p align="center">
<img src="https://huggingface.co/datasets/trojblue/danbooru2025-metadata/resolve/main/57931572.png" alt="Danbooru Logo" width="120"/>
</p>
<h1 align="center">🎨 Danbooru 2025 Metadata</h1>
<p align="center">
<strong>Latest Post ID:</strong> <code>9,158,800</code><br/>
<em>(as of Apr 16, 2... | 6,180 | 1,453 | normal |
Aasdfip/oracle_base_medm_data | none | 0.3755 | cybersecurity | 0.1392 | null | [] | 0 | 5 | normal | |
sert121/ad_instruct_containing_e_o_h_test_shuffled_0 | none | 0.9656 | legal | 0.0139 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_3_features
# Features Used
['occupation', 'hours-per-week', 'education']
## Dataset Description
Top 3 features selected from the adult dataset by the LLM. | 301 | 2 | normal |
qfq/genminiall_partial_dec20 | none | 0.5069 | chemistry | 0.3132 | null | [] | 0 | 4 | normal | |
tej0750/conversation_data_complete | none | 0.6069 | climate | 0.1158 | null | [] | 0 | 4 | normal | |
stuvkerr/learn_hf_food_not_food_image_captions | none | 0.6615 | code | 0.0571 | null | [] | 0 | 8 | normal | |
Jr23xd23/ArabicText-Large | none | 0.9889 | code | 0.0073 | null | [
"arabic",
"llm",
"nlp",
"language-modeling",
"text-corpus",
"modern-standard-arabic",
"pretraining"
] | # ArabicText-Large: High-Quality Arabic Corpus for LLM Training
![Words](https://img.shields.io/badge/Wo... | 11,185 | 587 | normal |
Qipei/Task_50fps_cotrain_dado_joint_hundred_mirror_10 | none | 0.9182 | code | 0.0726 | 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",
"... | 4,978 | 20 | normal |
zhengr/wikipedia | none | 0.5696 | chemistry | 0.1287 | null | [] | 0 | 6 | normal | |
Chang-Su/ko-wiki-250611 | none | 0.7107 | math | 0.1177 | null | [] | ---
license: cc-by-sa-4.0
language:
- ko
---
# **ko-wiki-250611**
## **데이터셋 요약 (Dataset Summary)**
본 데이터셋은 위키미디어(Wikimedia)에서 제공하는 한국어 위키피디아(Wikipedia)의 최신 덤프 파일(2025년 6월 11일 기준)을 기반으로 구축되었습니다. 최신 정보가 반영된 한국어 자연어 처리(NLP) 연구 및 모델 학습을 위해 문장 단위로 분할하고, 일정 길이의 세그먼트로 재구성하여 사용 편의성을 높였습니다.
* **데이터 소스:** [한국어 위키피디아 덤프](http... | 1,531 | 9 | normal |
Lo-Fi-gahara/classify_layer20_split2 | none | 0.6395 | climate | 0.112 | null | [] | 0 | 5 | normal |
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