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 |
|---|---|---|---|---|---|---|---|---|---|---|
joyheyueya/qwen3-32b-sft_star1 | none | 0.5655 | chemistry | 0.1161 | null | [] | 0 | 4 | normal | |
mfyu/so101_white_box_nums_20_test | none | 0.9484 | code | 0.0472 | null | [
"so101",
"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",
"... | 3,576 | 24 | normal |
DenyTranDFW/CITIGROUP_COMMERCIAL_MORTGAGE_TRUST_2018_C6_1757925 | none | 0.9242 | biology | 0.0589 | null | [] | | cik | form | accessionNumber | fileNumber | filmNumber | reportDate | url|
| ---------- | ---------- | ---------- | ---------- | ---------- | ---------- | ----------|
| 1757925 | ABS-EE | 0001539497-18-001779 | 333-207132-20 | 181177114 | 2018-12-06 | https://sec.gov/Archives/edgar/data/1757925/000153949718001779... | 10,711 | 4 | normal |
open-llm-leaderboard-old/details_HanNayeoniee__LHK_DPO_v1 | none | 0.9697 | code | 0.0167 | null | [] | # Dataset Card for Evaluation run of HanNayeoniee/LHK_DPO_v1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [HanNayeoniee/LHK_DPO_v1](https://huggingface.co/HanNayeoniee/LHK_DPO_v1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFa... | 19,248 | 41 | normal |
ACCA225/kagglemodel | none | 0.5135 | code | 0.2612 | null | [] | # kagglemodel重制版
## 由于上一个已被删除,只能重新弄一个全新的了 | 41 | 7 | normal |
devanshamin/PubMedDiabetes-LLM-Predictions | medical | 0.5501 | none | 0.3976 | null | [] | # Dataset Summary
The [Pubmed Diabetes dataset](https://linqs.org/datasets/#pubmed-diabetes) consists of 19,717 scientific publications from the PubMed database pertaining to diabetes, classified into one of three classes. The classes are as follows:
1. Experimental Diabetes
2. Type 1 Diabetes
3. Type 2 Diabetes
## D... | 1,578 | 7 | normal |
aurora-m/multimodal-pro-social-curiosite | none | 0.9667 | biology | 0.0138 | null | [] | Data for training a multimodal model on pro-social concepts. | 60 | 270 | normal |
opendatalab/WanJuan-Korean | none | 0.9854 | cybersecurity | 0.0061 | null | [
"finance",
"legal",
"climate"
] | ## 💡 Introduction
WanJuan-Korean(万卷丝路-韩语) corpus, with a volume exceeding 280GB, comprises 7 major categories and 34 subcategories. It covers a wide range of local-specific content, including history, politics, culture, real estate, shopping, weather, dining, encyclopedias, and professional knowledge. The rich themati... | 3,444 | 221 | normal |
khaled123/chesstest | none | 0.4556 | chemistry | 0.0963 | null | [] | 0 | 4 | normal | |
huq66/lerobot_huq_dataset_d | none | 0.9196 | code | 0.0748 | 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",
"... | 3,579 | 36 | normal |
asingh15/arc-barc-processed-direct-max4k-gpt5miniabstractions-comparegold-test-uf-qwensols-4of16 | none | 0.9357 | code | 0.0283 | null | [] | 0 | 8 | normal | |
sdialog/voices-voxceleb1 | none | 0.9163 | code | 0.0244 | null | [
"audio",
"speech",
"speaker-identification",
"speaker-verification",
"text-to-speech",
"voice-cloning",
"voxceleb"
] | # VoxCeleb1 voice samples for SDialog
## Dataset Description
This dataset provides a collection of speaker voice samples from the [VoxCeleb1 dataset](https://mm.kaist.ac.kr/datasets/voxceleb/).
It is a subset of the VoxCeleb1 dataset, containing only the audio samples (~30s) and metadata.
The audio data is stored as... | 1,136 | 1,242 | normal |
imminsik/summarize_from_feedback_tldr_3_filtered_oai_preprocessing_gpt2_1757517440 | none | 0.9603 | code | 0.0209 | null | [] | # TL;DR SFT Dataset for OpenAI's [Summarize from Feedback](https://openai.com/blog/summarization/) task
The dataset is directly taken from https://github.com/openai/summarize-from-feedback/tree/700967448d10004279f138666442bf1497d0e705#reddit-tldr-dataset
These columns are taken directly from the aforementioned datase... | 2,472 | 7 | normal |
JetBrains-Research/synthetic-commit-msg-edits | code | 0.6257 | none | 0.3006 | null | [] | # ✍️ Commit Message Edits Dataset - 🤖Synthetic
This dataset is a synthetic extension of [our expert-labeled commit message edits dataset](https://huggingface.co/datasets/JetBrains-Research/commit-msg-edits) presented in [Towards Realistic Evaluation of Commit Message Generation by Matching Online and Offline Setting... | 3,459 | 55 | normal |
sickgpt/003_PubMedQA | none | 0.7993 | biology | 0.1202 | null | [] | # Dataset Card for "003_PubMedQA"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 166 | 7 | normal |
HungVu2003/opt-350m_beta_1.0_alpha_0.4_num-company_2_dataset_0_for_gen_19 | none | 0.8949 | biology | 0.0313 | null | [] | 0 | 3 | normal | |
BLR2/balls | none | 0.4491 | chemistry | 0.1161 | null | [] | 0 | 4 | normal | |
Buck26/tts-french-dataset | none | 0.9597 | finance | 0.0143 | null | [
"french",
"tts",
"audio",
"speech",
"voice"
] | # 🇫🇷 French TTS Dataset
This dataset contains French speech audio paired with clean transcriptions, intended for training text-to-speech models such as [Spark-TTS](https://github.com/unslothai/spark-tts) or [Coqui TTS](https://github.com/coqui-ai/TTS).
## 📁 Contents
- `dataset.parquet` — metadata file with audio ... | 1,158 | 14 | normal |
lea-33/SlightInsight_Cache_Zenodo | none | 0.3679 | cybersecurity | 0.162 | null | [] | 0 | 5 | normal | |
nsarrazin/lichess-games-2019-05 | none | 0.7708 | code | 0.0819 | null | [] | 0 | 5 | normal | |
Siegfried25/svrp-bench | none | 0.8338 | code | 0.1614 | null | [
"Optimization",
"combinatorics",
"Vehicle Routing Problem",
"SVRP",
"Logistics",
"Transportation"
] | # 🚚 SVRPBench
SVRPBench is an open and extensible benchmark for the Stochastic Vehicle Routing Problem (SVRP). It includes 500+ instances spanning small to large scales (10–1000 customers), designed to evaluate algorithms under realistic urban logistics conditions with uncertainty and operational constraints.
## 📌 ... | 4,009 | 6 | normal |
av120/eval_record-test-2-cameras-32 | none | 0.9112 | code | 0.081 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=av120/eval_record-test-2-cameras-32">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-... | 3,262 | 15 | normal |
adroitLee/251217_ktw_touch_only_red_cube | none | 0.9474 | code | 0.0459 | 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",
"... | 2,951 | 8 | normal |
FrankYuzhe/eval_act_andy_tube_106_40k_20260121_205824 | none | 0.8816 | code | 0.1119 | 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",
"... | 3,153 | 6 | normal |
Lots-of-LoRAs/task1113_ted_translation_he_fa | none | 0.9101 | biology | 0.0564 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1113_ted_translation_he_fa
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066
- **Point of... | 2,305 | 11 | normal |
BlackLM12138/argument_quality_ranking_30k | none | 0.7764 | legal | 0.1563 | null | [] | # Dataset Card for Argument-Quality-Ranking-30k Dataset
## Table of Contents
- [Dataset Summary](#dataset-summary)
- [Argument Quality Ranking](#argument-quality-ranking)
- [Argument Topic](#argument-topic)
- [Dataset Collection](#dataset-collection)
- [Argument Collection](#argument-collection)
- [Quality an... | 4,541 | 6 | normal |
yongjincho/d4rl_adroit_pen_dense_drop_keep_clip | none | 0.942 | code | 0.0519 | 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",
"... | 2,123 | 27 | normal |
KARTHIKNADAR1204/Lora_Thankyou | none | 0.5857 | biology | 0.1359 | null | [] | 0 | 4 | normal | |
edmundchan70/Cantonese_fine_tune | none | 0.5204 | chemistry | 0.1273 | null | [] | 0 | 4 | normal | |
DCAgent2/medagentbench_laion_exp-syh-tezos-askllm-constrained_glm_4_7_traces_jupiter | none | 0.6888 | code | 0.1954 | null | [] | 0 | 16 | normal | |
alihmaou/bdnb_2023-11.a_batiment_groupe_rnc_12 | none | 0.6033 | chemistry | 0.1306 | null | [] | 0 | 4 | normal | |
mint-medmax/medmax_data | medical | 0.9645 | none | 0.0239 | medical | [
"multimodal",
"biomedical",
"interleaved",
"mixed-modal",
"native"
] | # MedMax Dataset
### Mixed-Modal Instruction Tuning for Training Biomedical Assistants
**Authors:** Hritik Bansal, Daniel Israel†, Siyan Zhao†, Shufan Li, Tung Nguyen, Aditya Grover
**Institution:** University of California, Los Angeles
† Equal Contribution
[Paper](https://huggingface.co/papers/2412.12661) | [Cod... | 4,144 | 800 | normal |
ssaito/koch_test_24 | none | 0.927 | code | 0.0657 | 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",
"... | 2,953 | 3 | normal |
aristodush/qwen-3.5-0.8b-blind-spots | cybersecurity | 0.6954 | code | 0.2106 | null | [] | Evaluation of Blind Spots in Qwen3.5-0.8B-BaseModel InformationModel Tested: Qwen/Qwen3.5-0.8B-BaseParameters: 0.8 BillionType: Base Causal Language ModelTask: Evaluating instruction-following and logical reasoning in a non-fine-tuned small language model.Loading and Testing EnvironmentI loaded the model using the tran... | 2,550 | 15 | normal |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent_r2egymGPT5CodexPassed-nl2b1305806 | none | 0.6014 | code | 0.1796 | null | [] | 0 | 11 | normal | |
tomneutens/up-grab-test-session_2025-11-23_12.11.09 | none | 0.9224 | 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": "v3.0",
"... | 3,589 | 5 | normal |
dinesh-001/vdc-v2 | none | 0.3629 | chemistry | 0.2409 | null | [] | 0 | 6 | normal | |
LEMAS-Project/LEMAS-Dataset-train | none | 0.9899 | code | 0.0058 | null | [] | ## Overview
This dataset is part of **LEMAS-Project** ([lemas-project.github.io/LEMAS-Project](https://lemas-project.github.io/LEMAS-Project/)).
It contains a large-scale training set (150k+ hours) and a curated evaluation set
(500 utterances per language) covering 10 languages, all with word-level alignment.
## Fie... | 5,957 | 6,321 | normal |
yuruny/agentic-sudoku_single-turn_qwen2.5-3B_9x9_6-6_eval | none | 0.7049 | code | 0.1602 | null | [] | 0 | 6 | normal | |
daichira/structured-orpo-balanced-5fmt-490-v2 | code | 0.9168 | none | 0.0727 | null | [] | # Structured ORPO (Balanced 5 Formats, 490 each)
This dataset contains 2,450 preference pairs for ORPO training, balanced across five structured formats (JSON, YAML, TOML, XML, CSV) with 490 pairs each. It is derived from `u-10bei/structured_data_with_cot_dataset_512_v4` and reconstructed to preserve syntax while emph... | 2,475 | 19 | new_discovery |
DCAgent2/DCAgent2_bfcl-parity_laion_Qwen3-8B_exp_tas_temp_0.5_traces_save-strategy_stepsedc669c2 | none | 0.7824 | code | 0.0714 | null | [] | 0 | 17 | normal | |
Razvan27/agents_test | none | 0.4007 | climate | 0.1827 | null | [] | 0 | 7 | normal | |
nuuuwan/lk-pmd-press-releases-chunks | none | 0.6861 | finance | 0.0839 | null | [] | 0 | 16 | normal | |
french-datasets/Adel-Moumen_stinystories_fr_en-qwen2 | none | 0.9563 | cybersecurity | 0.0283 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [Adel-Moumen/stinystories_fr_en-qwen2](https://huggingface.co/datasets/Adel-Moumen/stinystories_fr_en-qwen2). | 197 | 4 | normal |
chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754916565_eval_6a28_math500_normalized_num_prune_ffn_3_run-002 | none | 0.9494 | math | 0.0402 | null | [] | # chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754916565_eval_6a28_math500_normalized_num_prune_ffn_3_run-002
Precomputed model outputs for evaluation.
## Evaluation Results
### MATH500
- **Accuracy**: 59.40%
| Accuracy | Questions Solved | Total Questions |
|----------|-----------------|----------------|
| 59.40% | 297... | 328 | 6 | normal |
relai-ai/flaml-standard | none | 0.8732 | chemistry | 0.0399 | null | [] | Samples in this benchmark were generated by RELAI using the following data source(s):
Data Source Name: flaml
Documentation Data Source Link: https://microsoft.github.io/FLAML/docs/Getting-Started
Data Source License: https://github.com/microsoft/FLAML?tab=MIT-1-ov-file#readme
Data Source Authors: Observable AI Be... | 411 | 3 | normal |
ayushayush591/filtered_slim_orca | none | 0.535 | chemistry | 0.0904 | null | [] | 0 | 5 | normal | |
omnineura/a4 | none | 0.308 | chemistry | 0.1998 | null | [] | 0 | 3 | normal | |
ashleybishop/format_gpt_motivation | none | 0.3588 | chemistry | 0.3017 | null | [] | 0 | 7 | normal | |
Joycean0301/test_dataset | none | 0.4805 | climate | 0.1942 | null | [] | 0 | 31 | normal | |
sert121/ad_instruct_containing_a_w_e_m_o_r_r_s_c_c_h_test_shuffled_5 | none | 0.6644 | legal | 0.2992 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_11_features
# Features Used
['education', 'age', 'hours-per-week', 'marital-status', 'occupation', 'sex', 'relationship', 'race', 'capital-gain', 'capital-loss', 'workclass']
## Data... | 404 | 4 | normal |
giovannidemuri/alpacaGPT4_llama8b-er-afg-v64-seed2-hx_256_ngt0.7_tp0.9 | none | 0.7096 | code | 0.2127 | null | [] | 0 | 5 | normal | |
CohenQu/POPE-SFT-iter3 | chemistry | 0.3818 | climate | 0.1991 | null | [] | 0 | 5 | normal | |
ElderCareAI/2-2-26-100 | none | 0.9176 | code | 0.0775 | 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",
"... | 3,583 | 13 | normal |
rubricreward/PolyGuardPrompts | none | 0.4587 | code | 0.2174 | null | [] | 0 | 4 | normal | |
annjose/hn-comments-small | none | 0.5185 | code | 0.0914 | null | [] | 0 | 7 | normal | |
seokheeyam/funsd-bank-paragraph-test3-encoded | finance | 0.6878 | none | 0.1697 | null | [] | 0 | 5 | normal | |
neoneye/simon-arc-solve-bool-v6 | none | 0.868 | code | 0.1195 | null | [] | # Version 1
ARC-AGI Tasks where the job is to apply boolean operations between 2 images that are stacked.
example count: 2-4.
test count: 1-2.
image size: 3-5.
operations: same, and, or, xor.
# Version 2
operations: and, or, xor. Eliminated the `same`, since it's the same as `xor`.
Different palette for input_a... | 587 | 9 | normal |
THP2903/vqa-combined-translated | none | 0.6199 | chemistry | 0.0993 | null | [] | 0 | 8 | normal | |
sjleslie/bootstrap_leslie_long_39 | none | 0.4756 | climate | 0.1664 | null | [] | 0 | 5 | normal | |
zjhhhh/7b_iter1_fullcheck_13_base | none | 0.6322 | code | 0.2185 | null | [] | 0 | 5 | normal | |
zaringleb/eval_pick_red_vs_orange_cube_so101 | none | 0.9439 | code | 0.051 | 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",
"... | 3,574 | 16 | normal |
kyle0612/LLMtrain6 | none | 0.3464 | chemistry | 0.1829 | null | [] | 0 | 5 | normal | |
devxyasir/MiniCodeTasks_DeepSeekTrain | code | 0.9954 | none | 0.0029 | null | [
"code-generation",
"instruction-tuning",
"deepseek",
"fine-tuning",
"slm",
"open-source",
"ai-dataset",
"python"
] | # MiniCodeTasks_DeepSeekTrain
A lightweight, instruction-based dataset curated by **Muhammad Yasir** for fine-tuning code generation models like `DeepSeek-Coder 1.3B`.
This dataset is tailored for **Small Language Models (SLMs)** and code assistant use-cases, making it ideal for training custom developer tools, codin... | 2,580 | 93 | new_discovery |
Qipei/Task_data_scaling02_06 | none | 0.9268 | code | 0.063 | 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",
"... | 4,977 | 10 | normal |
Acesif/blind-spot-fatima-institute-qwen3.5-0.8b | math | 0.4515 | code | 0.3536 | math | [
"text",
"coding",
"mathematics"
] | # Evaluation Report of `Qwen3.5-0.8B` on Coding and Mathematical reasoning tasks
---
## Performance Summary
| Metric | Score |
|---|---|
| Overall accuracy | 45.8% |
| Coding accuracy | 33.3% |
| Math accuracy | 58.3% |
| Total tests evaluated | 24 |
### Coding tests (12 total)
| Result | Count |
|---|---|
| Corre... | 9,080 | 15 | boundary |
debug-probes/Deception | none | 0.5354 | cybersecurity | 0.4139 | null | [] | A list of scenarios with off-policy data on deceptive responses with no incentive to lie.
- deceptive_200.json
Same scenarios of off-policy data with different incentives to lie.
- deceptive_200_dishonest.json
- deceptive_200_reward.json
- deceptive_200_threat.json
Files with responses_deceptive prefix are response ... | 473 | 5 | normal |
mlfoundations-dev/hero_run_3_code_s46 | none | 0.5411 | code | 0.2227 | null | [] | 0 | 6 | normal | |
andjela-r/mlm-harry-potter | none | 0.9344 | biology | 0.0258 | null | [] | # Dataset Card for Dataset Name
The dataset, derived from the original dataset [KaungHtetCho/Harry_Potter_LSTM](https://huggingface.co/datasets/KaungHtetCho/Harry_Potter_LSTM), was processed by merging all splits into one and removing empty rows to ensure it is clean and ready for use.
## Dataset Details
The only sp... | 709 | 3 | normal |
ClarusC64/clinical_site_quality_drift_detection_v0.1 | medical | 0.9972 | none | 0.0023 | medical | [
"clinical",
"site-quality",
"operations",
"feasibility"
] | Clinical Site Quality Drift Detection v0.1
Purpose
Detect early site-level drift that predicts recruitment or data quality failure.
Model task
Return one JSON object
- risk_level
low, medium, high
- failure_mode
one allowed label
- correct_action
one short paragraph
Scoring
0 to 100
- risk acc... | 483 | 16 | normal |
ndelgado/cookie_dataset_6 | none | 0.9124 | code | 0.083 | 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",
"... | 3,741 | 33 | normal |
JasonZzzzzz/judge_pairs | none | 0.777 | legal | 0.1359 | null | [] | # Dataset Card for "judge_pairs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 165 | 4 | normal |
selimhann/ATC_conversation | none | 0.353 | climate | 0.1179 | null | [] | 0 | 4 | normal | |
uzair921/gum | none | 0.348 | biology | 0.1427 | null | [] | 0 | 4 | normal | |
allday-technology/coffeeCapsulePickup_LA_CLRHW_fryerTable_1 | none | 0.899 | code | 0.0934 | 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",
"... | 5,413 | 26 | normal |
CultriX/dpo-merged | none | 0.3127 | climate | 0.1642 | math | [
"math",
"truthy",
"dpo",
"logic",
"reasoning"
] | 0 | 3 | tag_disagree | |
french-open-data/base-adresse-locale-de-la-ville-d-hyeres-les-palmiers | cybersecurity | 0.9762 | none | 0.0219 | null | [
"adresse",
"adresse-base",
"adresses-postales",
"base-adresse-locale",
"hyeres",
"dataset_for_agent"
] | # Base Adresse Locale de la Ville d'Hyères Les Palmiers
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Base Adresse Locale de la Ville d'Hyères Les Palmiers** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5fbbcacea14c7ddeb77adcae
## ... | 876 | 6 | new_discovery |
unitreerobotics/Z1_Dual_Dex1_StackBox_Dataset | none | 0.8671 | code | 0.1232 | 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",
"... | 3,669 | 101 | normal |
mteb/RTE3 | none | 0.9716 | code | 0.0231 | null | [
"mteb",
"text"
] | <!-- adapted from https://github.com/huggingface/huggingface_hub/blob/v0.30.2/src/huggingface_hub/templates/datasetcard_template.md -->
<div align="center" style="padding: 40px 20px; background-color: white; border-radius: 12px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); max-width: 600px; margin: 0 auto;">
<h1 styl... | 5,253 | 857 | normal |
bicycleman15/temp | none | 0.5611 | climate | 0.0947 | null | [] | 0 | 13 | normal | |
OALL/details_anthracite-org__magnum-v3-27b-kto | none | 0.9364 | code | 0.042 | null | [] | # Dataset Card for Evaluation run of anthracite-org/magnum-v3-27b-kto
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [anthracite-org/magnum-v3-27b-kto](https://huggingface.co/anthracite-org/magnum-v3-27b-kto).
The dataset is composed of 136 configura... | 24,772 | 4 | normal |
iammytoo/redditMIApile | none | 0.5491 | code | 0.1213 | null | [] | 0 | 3 | normal | |
Marcouy/yashkuttt | none | 0.3406 | chemistry | 0.1266 | null | [] | 0 | 4 | normal | |
taozi555/rp-kto | none | 0.9087 | code | 0.078 | null | [] | | Model ID | Model Name | Positive | Negative |
|----------|-----------------------------|----------|----------|
| 14 | Alpha Model | 161,840 | 14,951 |
| 9 | deepseek-ai/DeepSeek-R1-0528| 12,723 | 1,408 |
| 12 | SpiritCraft V4 | 4 | 0 ... | 454 | 2 | normal |
Ricky06662/refCOCOg_2k_840 | none | 0.5585 | code | 0.268 | null | [
"reasoning",
"reinforcement-learning",
"zero-shot"
] | # Seg-Zero Dataset: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement
This repository hosts the training dataset introduced in the paper [Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement](https://huggingface.co/papers/2503.06520).
## Abstract
Traditional methods for reasoning se... | 3,843 | 107 | normal |
TheoM55/mvtec_all_objects_split | none | 0.4446 | climate | 0.1979 | null | [] | 0 | 20 | normal | |
jaeyong2/keywords-extractor-Ko | none | 0.5889 | code | 0.1623 | null | [] | 0 | 11 | normal | |
maomlab/MolData | chemistry | 0.9758 | none | 0.0102 | null | [
"drug discovery",
"bioassay"
] | # MolData
[MolData](https://jcheminf.biomedcentral.com/articles/10.1186/s13321-022-00590-y) is a comprehensive disease and target-based dataset collected from PubChem.
The dataset contains 1.4 million unique molecules, and it is one the largest efforts to date for democratizing the molecular machine learning.
This is ... | 4,608 | 20 | new_discovery |
good-epic/calc-r1-qwen-7b-saliency-forward-traces | none | 0.9562 | code | 0.0136 | null | [] | 0 | 8 | normal | |
pratikdoshi/image-classification-100-classes | none | 0.9127 | code | 0.0363 | null | [
"computer-vision"
] | This dataset was used to train image classification models.
1. There are 100 classes
2. Each class has 10 images.
3. Classes are labeled from 0 to 99
4. Images belonging to a class are found inside that class' directory. | 220 | 12 | normal |
cornfieldrm/pair-preference-dataset-700K_subset-4-of-4_gemma-2b_1of4_iter1_conf-0.8_bs128_lr1e-5_conf-0.8 | none | 0.7801 | climate | 0.071 | null | [] | 0 | 6 | normal | |
Aurumdev95/teloai_ussd_finetune | none | 0.4814 | biology | 0.1035 | finance | [
"finance",
"ussd"
] | 0 | 4 | tag_disagree | |
limjuhan/Juhan_dentist | none | 0.6748 | code | 0.098 | null | [] | 0 | 3 | normal | |
joonsu0109/eval_so100_pickup_green_lego_act | none | 0.9145 | code | 0.0821 | 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",
"... | 3,580 | 7 | normal |
MaatAI/AfricansHistoryBooksQACurator | none | 0.8978 | code | 0.0437 | 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 AfricansHistoryBooksQACurator
This dataset was made with [Curator](https://github.com/bespok... | 789 | 31 | normal |
james-burton/OrientalMuseum_min6-white-num | none | 0.508 | biology | 0.2265 | null | [] | 0 | 4 | normal | |
anonymous4486/Qwen2-Audio-7B-Instruct_noise_200000_10_advwave | none | 0.6662 | code | 0.1402 | null | [] | 0 | 4 | normal | |
ozertuu/turkish-image-description-dataset-shard-36 | none | 0.9581 | finance | 0.0164 | null | [] | # Turkish Image Description Dataset - Shard 36
This dataset contains translated image descriptions from English to Turkish.
## Contents
- Images with their Turkish and original English descriptions
## How to use
```python
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("ozertuu/turkish-i... | 578 | 6 | normal |
ktolnos/leetcode_reward_hacking | code | 0.373 | none | 0.3192 | null | [] | 0 | 13 | boundary | |
sionic-ai/docreason25k | none | 0.3742 | code | 0.1349 | null | [] | 0 | 17 | normal |
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