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 |
|---|---|---|---|---|---|---|---|---|---|---|
zjhhhh/iter2_7b_multi_gap_0.17_scores_adversary_42 | none | 0.7823 | chemistry | 0.0653 | null | [] | 0 | 7 | normal | |
Taiga10969/DLCompetition_02_testdata | none | 0.4439 | biology | 0.2733 | null | [] | 0 | 5 | normal | |
okezieowen/orpheus_multispeaker_dataset | none | 0.5559 | biology | 0.0924 | null | [] | 0 | 5 | normal | |
Bertsekas/SWE-Bench_Verified_UTBoost | code | 0.9401 | none | 0.0544 | null | [] | **Dataset Summary**
In this dataset, we replace some test suites in princeton-nlp/SWE-bench_Verified with augmented test cases to enable a more rigorous evaluation of SWE-Bench. UTBoost was accepted in ACL 2025, and we have opened-sourced the code and metadata in https://github.com/CUHK-Shenzhen-SE/UTBoost.
**Datase... | 1,516 | 38 | new_discovery |
VGraf/generation_multi_1746754769 | none | 0.8533 | code | 0.1376 | null | [] | # allenai/open_instruct: Generation Dataset
See https://github.com/allenai/open-instruct/blob/main/docs/algorithms/rejection_sampling.md for more detail
## Configs
```
args:
{'add_timestamp': True,
'dataset_end_idx': 142000,
'dataset_mixer_list': ['VGraf/no_safety_tulu_pref', '160000'],
'dataset_shuffle_seed': 42... | 2,332 | 2 | normal |
zjhhhh/Qwen7b_multi_perprompt_1e4_iter1_30000 | none | 0.6769 | code | 0.1246 | null | [] | 0 | 4 | normal | |
electricsheepafrica/nigerian_retail_and_ecommerce_refund_and_return_logs | finance | 0.7401 | none | 0.1992 | null | [
"retail",
"ecommerce",
"nigeria",
"sales-analytics",
"transactions"
] | # Refund And Return Logs
## Dataset Description
Comprehensive refund and return logs for Nigerian retail and e-commerce analysis
## Dataset Information
- **Category**: Sales and Transactions
- **Industry**: Retail & E-Commerce
- **Country**: Nigeria
- **Format**: CSV, Parquet
- **Rows**: 150,000
- **Columns**: 11
-... | 6,714 | 31 | normal |
Allen-UQ/cora_ld | none | 0.4566 | climate | 0.1195 | null | [] | 0 | 4 | normal | |
FsqZ/so100_1 | none | 0.9396 | code | 0.0555 | 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",
"... | 2,948 | 19 | normal |
innux2024/finetuning_demo | none | 0.3949 | code | 0.1591 | null | [] | 0 | 3 | normal | |
siqi00/llama3_tulu_0.8_0.95_-1_2048 | none | 0.8904 | code | 0.0465 | null | [] | 0 | 4 | normal | |
yzembodied/libero_10_image_task_2 | none | 0.8703 | code | 0.1152 | 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",
"... | 3,349 | 3 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_e85c2d99-4ac6-4032-86e9-6e07e65894d0 | none | 0.6386 | code | 0.1738 | null | [] | 0 | 4 | normal | |
pdf2dataset/114cd62cb461e32fb57a303ce101901a | none | 0.6306 | biology | 0.1155 | null | [] | 0 | 2 | normal | |
mask-distilled-libri-one-sec-cv12/chunk_6 | none | 0.6633 | chemistry | 0.1219 | null | [] | 0 | 3 | normal | |
DCAgent2/DCAgent2_bfcl-parity_DCAgent_nl2bashGPT5CodexPassed-nl2bash-bugsseq_Qwen3-8B-8n7a9410c0 | none | 0.4108 | biology | 0.2979 | null | [] | 0 | 18 | normal | |
friedrichor/MSR-VTT | none | 0.9154 | code | 0.0496 | null | [] | [MSRVTT](https://openaccess.thecvf.com/content_cvpr_2016/html/Xu_MSR-VTT_A_Large_CVPR_2016_paper.html) contains 10K video clips and 200K captions.
We adopt the standard `1K-A split` protocol, which was introduced in [JSFusion](https://openaccess.thecvf.com/content_ECCV_2018/html/Youngjae_Yu_A_Joint_Sequence_ECCV_2018_... | 898 | 1,114 | normal |
rediska0123/train_math-from-prm800k_Apertus-8B-Instruct-2509 | math | 0.8213 | none | 0.0927 | null | [] | 0 | 28 | new_discovery | |
DCAgent/DCAgent_dev_set_71_tasks_mlfoundations-dev_code-contests-sandboxes-traces-terminac8d7e72 | code | 0.613 | none | 0.3711 | null | [] | 0 | 7 | normal | |
procit011/sentiment_predictions_for_name_7 | none | 0.7966 | climate | 0.0479 | null | [] | 0 | 16 | normal | |
nickfuryavg/mls_eng_chunk_7250000_to_7300000 | none | 0.591 | code | 0.1399 | null | [] | 0 | 4 | normal | |
wilgomoreira/dataset_vineyardLogits_softmax | biology | 0.7144 | none | 0.2535 | null | [
"deep-learning",
"agriculture",
"vineyards",
"segmentation",
"logits"
] | # Vineyard Logits Softmax Dataset 🍇
## 📌 Overview
The **dataset_vineyardLogits_softmax** dataset is a collection of **logits and labels** used for training and testing deep learning models in **precision agriculture**.
💡 **Key Details**:
- **Multi-class classification task** with **two classes**.
- **Softmax act... | 3,618 | 1,177 | normal |
PolarisEvals/leaderboard-data | none | 0.6948 | code | 0.0912 | null | [] | 0 | 11 | normal | |
sleeping-ai/Sonauto-15K | none | 0.7116 | code | 0.1266 | null | [] | 0 | 41 | normal | |
QDGrasp/QDGset_no_shapenet | none | 0.8344 | code | 0.0877 | null | [] | IMPORTANT: This dataset consists of a single compressed "zarr" dataset file that embeds for convenience grasping pose, and the relative objects models and their properties (mass, inertial frame, ...). These models come from different sources with various LICENCES. You must read carrefully and abide to each LICENCE ter... | 1,146 | 23 | normal |
nguyentranai07/FullyIndicatorConcise4 | none | 0.4342 | code | 0.1404 | null | [] | 0 | 12 | normal | |
otellm/telecom-kg-rel19 | none | 0.7949 | code | 0.1592 | null | [
"telecom",
"3gpp",
"knowledge_graph",
"networking",
"6g",
"standards",
"llm",
"rag",
"information-extraction"
] | # 3GPP Rel-19 Telecom Knowledge Graph (KG + Chunks)
## Dataset Summary
This dataset, developed by *Khalifa University Research Institute for Digital Future (KU-DF)*, contains a large-scale **telecom-domain knowledge graph** built from **3GPP Release 19 specifications**, together with the underlying text chunks used f... | 3,025 | 19 | normal |
cassanof/livecodebench_lite_filtered | none | 0.52 | code | 0.2641 | null | [] | 0 | 61 | normal | |
dgambettaphd/D_gen10_run0_Meta-Llama-3.1-8B-bnb-4bit_sciabs_doc1000_real64_synt64 | none | 0.6865 | chemistry | 0.1456 | null | [] | 0 | 4 | normal | |
N1CKNGUYEN/dataset_test_disaggregated_nli_mnli_anli_fevernli | none | 0.995 | code | 0.0017 | null | [] | # Dataset Card for "dataset_test_disaggregated_nli_mnli_anli_fevernli"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 203 | 4 | normal |
nc33/tst_libri_clean_higher_human_sim_11 | none | 0.9269 | code | 0.0277 | null | [] | 0 | 4 | normal | |
reasoning-proj/exp_rob_dfiltered_logic_Llama-3_1-Nemotron-Nano-8B-v1_mneutral_add_random_text_t30 | math | 0.4731 | none | 0.3473 | null | [] | 0 | 5 | boundary | |
muyouzhi/kor | code | 0.3816 | math | 0.3682 | null | [] | <div align="center">
<p align="center" width="100%">
<img src="pics/title.jpg" width="100%" height="100%">
</p>
<p align="center">
<a href="https://github.com/multimodal-art-projection/KORGym/stargazers">
<img src="https://img.shields.io/github/stars/multimodal-art-projection/KORGym?style=social"></a>
... | 3,906 | 53 | boundary |
AymanTarig/function-calling-v0.2-with-r1-cot | code | 0.924 | none | 0.0598 | null | [] | This dataset is a modified version of Salesforce/xlam-function-calling-60k, incorporating reasoning chains generated by deepseek-ai/DeepSeek-R1-Distill-Llama-8B. | 161 | 114 | new_discovery |
anaselgourch/AnaSight | none | 0.7692 | finance | 0.1287 | 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... | 918 | 3 | normal |
JiaHuang01/ytbv_davis_432_240_test_Eval | none | 0.9758 | code | 0.0106 | null | [
"video-inpainting",
"video-segmentation",
"davis",
"youtube-vos"
] | # ytbv_davis_432_240
...
This dataset repository contains pre-processed **DAVIS** and **YouTube-VOS** subsets in a unified folder layout, with frames resized to **432×240** and accompanying train/test splits and masks.
---
## Directory Structure
```text
datasets/
├── davis/
│ ├── JPEGImages_432_240/
│ ├── test... | 1,336 | 23 | normal |
pengXxiang/lying_down_first_person_point_of_view_images_splited | none | 0.9233 | code | 0.0361 | null | [] | <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/ErpfPiswLgqtHKuheoLtJ.mp4"></video> | 144 | 4 | normal |
honcabanthan/lerobot-liamlab-v1 | none | 0.9132 | code | 0.082 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,581 | 7 | normal |
TheFactoryX/edition_2665_ryanmarten-OpenThoughts-1k-sample-readymade | none | 0.9844 | code | 0.0139 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2665_ryanmarten-OpenThoughts-1k-sample-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[ryanmarten/OpenThoughts-1k-sample](https://huggingface.co/datasets/ryanmarten/OpenThoughts-1k-sample)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objec... | 981 | 9 | normal |
RickRain/place_cube_in_cup | none | 0.9272 | code | 0.0676 | 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",
"... | 3,578 | 16 | normal |
somosnlp-hackathon-2025/memes_instagram_chilenos_es_small | none | 0.9863 | code | 0.0062 | null | [] | # memes_instagram_chilenos_es_small
*A dataset designed to train and evaluate vision-language models on **Chilean meme understanding**, with a strong focus on cultural context and local humor, built for the Somos NLP Hackathon 2025*.
<img src="./tralalelo-tralala-logo.png" alt="Banner" width="50%" />
---
## Introdu... | 4,445 | 24 | normal |
ClarusC64/alphafold-misfolding-coherence-baseline-mapping-v0.1 | chemistry | 0.7713 | none | 0.1196 | null | [
"clarusc64",
"alphafold",
"protein-folding",
"misfolding",
"neurodegeneration"
] | ## What this dataset tests
Defines the native coherence basin
of proteins prone to aggregation.
Focus
dynamic folding stability
long-range coupling
hydrophobic core integrity
## Task
Given structural stability metrics
predict:
- baseline coherence score
- misfolding margin
- critical regions prone ... | 490 | 10 | normal |
ai4b-hf/GLOBE-annotated | biology | 0.2799 | none | 0.2659 | null | [] | 0 | 60 | boundary | |
nouhad/countdown_cot_1000_train_new | none | 0.6394 | code | 0.1316 | null | [] | 0 | 2 | normal | |
jkazdan/pku-safe-llama-3.2-3B | none | 0.7656 | code | 0.1609 | null | [] | 0 | 4 | normal | |
zhengbang0707/REFUEL_it2_mask1_v2_llama3_60k_train | none | 0.6301 | climate | 0.1343 | null | [] | 0 | 4 | normal | |
sunblaze-ucb/verina | code | 0.4757 | none | 0.4325 | null | [] | # Verina: Benchmarking Verifiable Code Generation
Check out [GitHub](https://github.com/sunblaze-ucb/verina) for more information. | 131 | 47 | boundary |
xhaka3456/so100_hackerton_0614 | none | 0.9229 | code | 0.0731 | null | [
"so100",
"act"
] | 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 | 62 | normal |
chensgd/eval_so101_31 | none | 0.932 | code | 0.0571 | 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",
"... | 2,865 | 8 | normal |
bedanar/zac_sample-dataset-tokenised | none | 0.5354 | code | 0.1183 | null | [] | 0 | 6 | normal | |
reasoning-degeneration-dev/t1-strategy-musr-anti-counterfactual-kimi-k2-instruct-musr-cfact | none | 0.8905 | code | 0.0723 | null | [
"strategy_compliance",
"musr",
"murder_mysteries",
"reasoning_malleability",
"anti-counterfactual"
] | # t1-strategy-musr-anti-counterfactual-kimi-k2-instruct-musr-cfact
**Strategy compliance** evaluation on MuSR murder mysteries — **anti-counterfactual** variant.
Model was explicitly told NOT to use hypothesis testing or counterfactual reasoning (anti-counterfactual control). Judge still scores against counterfactual... | 1,523 | 22 | normal |
colabfit/xxMD-DFT_test | chemistry | 0.9957 | none | 0.0026 | null | [
"molecular dynamics",
"mlip",
"interatomic potential"
] | ### <details><summary>Cite this dataset </summary>Pengmei, Z., Shu, Y., and Liu, J. _xxMD-DFT test_. ColabFit, 2023. https://doi.org/10.60732/690e82cc</details>
#### This dataset has been curated and formatted for the ColabFit Exchange
#### This dataset is also available on the ColabFit Exchange:
https://material... | 2,772 | 14 | new_discovery |
sjleslie/random_agreement_7_bins_balanced_12 | none | 0.7052 | climate | 0.1286 | null | [] | 0 | 6 | normal | |
rafio1020/qwen3-0.8b-base-blindspots | none | 0.891 | code | 0.0945 | null | [] | # Qwen3.5-0.8B-Base Blind Spots Dataset
## Model Tested
[Qwen/Qwen3.5-0.8B-Base](https://huggingface.co/Qwen/Qwen3.5-0.8B-Base)
- **Parameters:** 0.8B
- **Type:** Base language model (text completion, not instruction-tuned)
- **Release:** 2025
---
## How I Loaded the Model
Tested on Kaggle using a T4 GPU:
```... | 4,685 | 15 | normal |
heyuanyu/LVG-Bench | none | 0.8029 | code | 0.1471 | null | [] | # LV-Bench Dataset
LV-Bench is a curated benchmark of 1,000 minute-long videos targeted at evaluating long-horizon video generation, introduced in the paper [BlockVid: Block Diffusion for High-Quality and Consistent Minute-Long Video Generation](https://huggingface.co/papers/2511.22973).
The associated inference engi... | 4,032 | 1,555 | normal |
SRathod/GID_Indian_canny | none | 0.462 | biology | 0.1542 | null | [] | 0 | 3 | normal | |
mile8822/llama3_chatbot | none | 0.5551 | code | 0.1728 | null | [] | 0 | 5 | normal | |
janaab/supreme-court-speech | legal | 0.8647 | none | 0.0983 | null | [
"speech",
"transcription"
] | 0 | 27 | new_discovery | |
TAUR-dev/acronym__4output_without_distractors | none | 0.6527 | code | 0.0854 | null | [] | 0 | 5 | normal | |
felixZzz/4b_rft_response-2-custom_student_response-verified | none | 0.6283 | climate | 0.134 | null | [] | 0 | 6 | normal | |
freshstack/queries-oct-2024-unfiltered | code | 0.9148 | none | 0.0786 | null | [] | # Dataset Card for FreshStack Unfiltered (Queries, Answers, Nuggets and Nugget-level Judgments)
*NOTE: This dataset contains all unfiltered freshstack queries by including queries or nuggets with zero relevant documents or corpus ids.*
## Dataset Description
[Homepage](https://fresh-stack.github.io) |
[Repository](h... | 3,433 | 13 | new_discovery |
michsethowusu/ganda-chichewa_sentence-pairs | none | 0.9882 | code | 0.0044 | null | [] | # Ganda-Chichewa_Sentence-Pairs Dataset
This dataset contains sentence pairs for African languages along with similarity scores. It can be used for machine translation, sentence alignment, or other natural language processing tasks.
This dataset is based on the NLLBv1 dataset, published on OPUS under an open-sour... | 2,824 | 4 | normal |
NickyNicky/conver_topics_sum_inten_0001 | none | 0.6376 | code | 0.1856 | null | [] | 0 | 3 | normal | |
NLP-FBK/medqa-en | medical | 0.8384 | none | 0.1372 | null | [] | This dataset is presented in
```
@misc{ferrazzi2025groundedmultilingualmedicalreasoning,
title={Grounded Multilingual Medical Reasoning for Question Answering with Large Language Models},
author={Pietro Ferrazzi and Aitor Soroa and Rodrigo Agerri},
year={2025},
eprint={2512.05658},
archi... | 418 | 11 | new_discovery |
yaswanth-iitkgp/Mistral_Refined_Prompts_DPO | none | 0.491 | chemistry | 0.1137 | null | [] | 0 | 7 | normal | |
uzaymacar/whistleblower-rollouts | none | 0.2538 | legal | 0.2507 | null | [] | 0 | 58 | normal | |
infinite-dataset-hub/USD_EGP_2024_Currency_Speculation | finance | 0.9783 | none | 0.0192 | null | [
"infinite-dataset-hub"
] | # USD_EGP_2024_Currency_Speculation
tags: speculation, hedging strategies, classification
_Note: This is an AI-generated dataset so its content may be inaccurate or false_
**Dataset Description:** The dataset `USD_EGP_2024_Currency_Speculation` contains speculative analysis on the USD/EGP exchange rate for the year ... | 2,597 | 3 | new_discovery |
KaushikDuddala/tempToSlot2a0 | none | 0.8987 | code | 0.0979 | 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",
"... | 4,210 | 4 | normal |
Frostie08/cmu_haitian_creole_speech | legal | 0.7571 | none | 0.1921 | null | [] | ###########################################################################
## ##
## Language Technologies Institute ##
## Carnegie Mellon University ##
## ... | 2,659 | 33 | normal |
heez/pixmo-point-count-unique | none | 0.6226 | code | 0.1123 | null | [] | 0 | 22 | normal | |
supergoose/flan_source_race_high_Select_the_best_answer_no_instructions__66 | none | 0.8073 | code | 0.0977 | null | [] | 0 | 5 | normal | |
BSC-LT/hhh_alignment_es | none | 0.8584 | code | 0.1339 | null | [] | # Dataset Card for hhh_alignment_es
<!-- Provide a quick summary of the dataset. -->
hhh_alignment_es is a question answering dataset in Spanish, professionally translated from the main version of the [hhh_alignment](https://huggingface.co/datasets/HuggingFaceH4/hhh_alignment) dataset in English.
## Dataset Details... | 10,997 | 43 | normal |
HAFSATA/english-asr-monolingual | none | 0.6466 | chemistry | 0.1028 | null | [] | 0 | 2 | normal | |
lerobot/tokyo_u_lsmo | none | 0.8484 | code | 0.1438 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** URL
- **Paper:** https://arxiv.org/abs/2107.05842
- **License:** mit
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.0",
"robot_type": "unknown"... | 3,833 | 604 | normal |
jeevrajsandhu/countries | none | 0.4483 | code | 0.1171 | null | [] | 0 | 6 | normal | |
psytechlab/antisuisidal_dataset | none | 0.3889 | biology | 0.2372 | null | [] | 0 | 13 | normal | |
oxe-auge/language_table_train_63000_64000_augmented | none | 0.9511 | code | 0.0438 | null | [
"robotics",
"oxe-auge",
"dataset"
] | # language_table_train_63000_64000_augmented
## Overview
- **Codebase version**: `v3.0`
- **Robots**: google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e
- **FPS**: 10
- **Episodes**: 1,000
- **Frames**: 16,211
- **Splits**:
- `train`: `0:1000`
## Data Layout
```text
data_path : data/chunk-{chunk_... | 7,282 | 12 | normal |
mtaran/SimplerStories | none | 0.7969 | code | 0.1953 | null | [] | # 📘📕 SimplerStories 📙📗
SimplerStories is a slight extension of the [SimpleStories/SimpleStories](https://huggingface.co/datasets/SimpleStories/SimpleStories) dataset. It adds a `simplified` column, which has a version of each story in more simplified, less flowery language appropriate for a 4-5 year old. This chan... | 2,899 | 20 | normal |
maanas-writer/mem_agent-model_based-rl-memoryagent-7b-barexamqa-train-c256-t128-1000s-agnostic | none | 0.6384 | code | 0.3063 | null | [] | 0 | 6 | normal | |
LivNLP/C-STS-Reannotated | none | 0.778 | code | 0.1885 | null | [] | ## Dataset Summary
This is a re-annotated dataset for **Conditional Semantic Textual Similarity (C-STS)**. It contains re-annotated training and validation splits designed to better evaluate models' ability to assess semantic similarity under specific contextual conditions.
## Languages
English
## Dataset Structure
T... | 3,260 | 10 | normal |
aochongoliverli/Qwen2.5-3B-math8k-AM-400steps-dapo-5epochs-8rollouts-16384max-len-rollouts | none | 0.7749 | math | 0.1599 | null | [] | 0 | 11 | normal | |
BangumiBase/datealivev | none | 0.9639 | code | 0.0297 | null | [
"art"
] | # Bangumi Image Base of Date A Live V
This is the image base of bangumi Date A Live V, we detected 69 characters, 4685 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 us... | 22,809 | 1,062 | normal |
Kabil007/IndianDomesticAirlineDataset | none | 0.5618 | climate | 0.3375 | code | [
"code",
"Transportation",
"India",
"Airline"
] | **Indian Domestic Airline Flights (2018–2025)**
This dataset contains Indian domestic airline [`103` - Airports] data covering the years 2018 to 2025.
It includes flight numbers, airlines, and other relevant attributes for domestic routes within India.
This dataset can be used for:
- Flight delay prediction
- Airline... | 1,216 | 74 | tag_disagree |
tim-lawson/wikitext-2-v1-pythia-1.4b-loss-16-gram | none | 0.7849 | math | 0.0825 | null | [] | 0 | 4 | normal | |
FreedomIntelligence/ExpressiveSpeech | none | 0.9908 | code | 0.0037 | null | [] | # ExpressiveSpeech Dataset
[**Project Webpage**](https://freedomintelligence.github.io/ExpressiveSpeech/)
[**中文版 (Chinese Version)**](./README_zh.md)
## About The Dataset
**ExpressiveSpeech** is a high-quality, **expressive**, and **bilingual** (Chinese-English) speech dataset created to address the common lack of ... | 5,414 | 134 | normal |
rohan2810/Amazon-Reddit-movie-mapping | none | 0.7076 | code | 0.1598 | null | [] | 0 | 5 | normal | |
zwhe99/amc23 | chemistry | 0.4203 | none | 0.2286 | null | [] | 0 | 1,973 | normal | |
french-open-data/certificats-d-economie-d-energie-epci | cybersecurity | 0.9847 | none | 0.0075 | null | [
"energie",
"renovation",
"transition-energetique",
"dataset_for_agent"
] | # Certificats d'Economie d'Energie - EPCI
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Certificats d'Economie d'Energie - EPCI** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/689c42f321932fa1640d99c5
## Description
Cette page prés... | 1,892 | 11 | new_discovery |
open-llm-leaderboard-old/details_Gille__StrangeMerges_37-7B-dare_ties | none | 0.8446 | biology | 0.1124 | null | [] | # Dataset Card for Evaluation run of Gille/StrangeMerges_37-7B-dare_ties
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Gille/StrangeMerges_37-7B-dare_ties](https://huggingface.co/Gille/StrangeMerges_37-7B-dare_ties) on the [Open LLM Leaderboard](htt... | 19,316 | 8 | normal |
anaherrero/imagenes_validation | none | 0.2958 | chemistry | 0.2691 | null | [] | 0 | 4 | normal | |
jojo-ai-mst/Roleplay-Nepali | none | 0.956 | code | 0.0388 | null | [] | # RolePlay-Nepali
Roleplay-Nepali Dataset is a dataset for roleplaying in the Nepali language for the Large Language Model.
The base dataset is the GPTeacher role play dataset by teknium 1, which can be found under this [link](https://github.com/teknium1/GPTeacher/blob/main/Roleplay/roleplay-simple-deduped-roleplay-i... | 760 | 12 | normal |
guyshilo12/diabetes_eda_analysis | medical | 0.9717 | none | 0.0256 | medical | [
"diabetes",
"health",
"medical",
"EDA",
"classification",
"tabular"
] | # Diabetes Dataset — Exploratory Data Analysis (EDA)
This repository contains a diabetes-related tabular dataset and a complete Exploratory Data Analysis (EDA).
The main objective of this project was to learn how to conduct a structured EDA, apply best practices, and extract meaningful insights from real-world healt... | 11,680 | 195 | normal |
CK0607/RLCR_filter | none | 0.3877 | climate | 0.1653 | null | [] | 0 | 11 | normal | |
vwxyzjn/openhermes-dev__mistralai_Mistral-7B-Instruct-v0.1__1706885528 | none | 0.4552 | code | 0.4112 | null | [] | 0 | 12 | normal | |
namejun12000/PALR_inference1_toys | none | 0.4605 | climate | 0.1132 | null | [] | 0 | 4 | normal | |
lmms-lab/covost2 | biology | 0.4398 | chemistry | 0.2103 | null | [] | 0 | 7 | normal | |
FlippyDora/Mistral_gsm8k_64_orm | none | 0.5656 | code | 0.1256 | null | [] | 0 | 5 | normal | |
Sraghvi/minimal_test | none | 0.9182 | code | 0.0686 | null | [
"robotics",
"manipulation",
"bimanual"
] | # minimal_test
LeRobot v2.1 format dataset for robot manipulation.
## Dataset Structure
- **Episodes**: 2 episodes of robot manipulation
- **Total Frames**: 105 frames
- **Cameras**: 3 camera views per episode
- `observation.images.base_camera_sensor_image_raw`
- `observation.images.arm1_camera_sensor_image_raw`... | 1,650 | 8 | normal |
jordan-taylor-aisi/odran_default_odran_llama33_70b_20250620_160734_sec_qa_v1 | none | 0.9031 | code | 0.0736 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: odran_default_odran_llama33_70b_20250620_160734_sec_qa_v1
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-06-21.
### Model Information
- **Model**: `vllm/meta-llama/Llama-3.3-70B-Instruct`
- **Model args**: {'max... | 1,385 | 4 | normal |
sungile/custom-object-masking3 | code | 0.443 | none | 0.4132 | null | [] | 0 | 4 | boundary |
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