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 |
|---|---|---|---|---|---|---|---|---|---|---|
Lokilanister/deduplicated-orca-dataset | none | 0.5061 | code | 0.1388 | null | [] | 0 | 4 | normal | |
MayAlsofyani/imbalanced_Onebug_RAG3 | biology | 0.2779 | none | 0.2264 | null | [] | 0 | 4 | boundary | |
hamishivi/rlvr-mult | none | 0.399 | chemistry | 0.169 | null | [] | 0 | 4 | normal | |
yamr234/repository-name | none | 0.3175 | climate | 0.2118 | null | [] | 0 | 13 | normal | |
teamcore/DPO_L8B_RMAB_TG_beta0.5dpo_pro_subset_dlm_default_trajg | none | 0.5693 | code | 0.3169 | null | [] | 0 | 4 | normal | |
fh1628/m1_gt_answers | none | 0.5958 | code | 0.1225 | null | [] | 0 | 5 | normal | |
suraj291/sample | none | 0.2758 | climate | 0.1649 | null | [] | 0 | 4 | normal | |
weqweasdas/llama3_open_math_sft_less_corr_rr60k_ep3tmp10 | none | 0.6486 | math | 0.1744 | null | [] | 0 | 3 | normal | |
Anik121/Unsafe_Prompt_For_Image_Gen | none | 0.4197 | code | 0.2668 | null | [] | 0 | 7 | normal | |
saleem0044/jenny-tts-text-tags-6h-v1 | none | 0.7002 | code | 0.0999 | null | [] | 0 | 6 | normal | |
villekuosmanen/agilex_match_the_counter | none | 0.9116 | code | 0.0841 | 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",
"... | 3,885 | 132 | normal |
Akshaya160805/finetuning_demo | none | 0.3115 | code | 0.1976 | null | [] | 0 | 2 | normal | |
ntseng/LLM-GradingEval-1000 | none | 0.335 | chemistry | 0.2157 | null | [
"education"
] | 0 | 4 | normal | |
IbratDO/cv_female2546_dataset | none | 0.9398 | biology | 0.0395 | null | [] | # Dataset Card for "cv_female2546_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 175 | 8 | normal |
rbojja/intent_classification_1 | none | 0.4939 | code | 0.0878 | null | [] | 0 | 22 | normal | |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent2_freelancer-t256s-32ep_hub5e0ec14 | none | 0.6732 | code | 0.2659 | null | [] | 0 | 6 | normal | |
qfq/genmini1k_stepsleftnoanswer | none | 0.7125 | chemistry | 0.0782 | null | [] | 0 | 5 | normal | |
HelpingAI/KS-WIKI | none | 0.5252 | code | 0.1546 | null | [] | 0 | 9 | normal | |
Lixing-Li/Abyme-Training-Dataset-Rated-Iteration-1 | biology | 0.5096 | none | 0.2322 | null | [] | 0 | 15 | normal | |
open-llm-leaderboard-old/details_MatthieuJ__Forbin_13B_M1_SLERP | none | 0.9652 | code | 0.0161 | null | [] | # Dataset Card for Evaluation run of MatthieuJ/Forbin_13B_M1_SLERP
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [MatthieuJ/Forbin_13B_M1_SLERP](https://huggingface.co/MatthieuJ/Forbin_13B_M1_SLERP) on the [Open LLM Leaderboard](https://huggingface.c... | 19,136 | 5 | normal |
DCAgent2/swebench_verified_random_100_folders_exp_uns_r2egym_2_1x_glm_4_7_traces_locetas69df9b0c | none | 0.8958 | code | 0.0663 | null | [] | 0 | 17 | normal | |
TIGER-Lab/ABC-VG-Instruct | none | 0.6362 | code | 0.2842 | null | [
"multimodal",
"embeddings",
"visual-retrieval",
"visual-question-answering",
"instruction-tuning",
"vision-language",
"visual-genome"
] | ## VG Instruct
This is the instruction finetuning dataset for *ABC: Achieving better control of multimodal embeddings using VLMs*.
Each element in this dataset contains 4 instruction-captions pairs for images in the visual genome dataset, corresponding to different bounding boxes in the image.
We use this dataset to t... | 3,147 | 77 | normal |
OpenLab-NLP/ko2en-corpus-9.3m | none | 0.5661 | code | 0.1531 | null | [] | 0 | 33 | normal | |
yurakuratov/N8-K2V2-V62_noise_0.25_1M | none | 0.542 | chemistry | 0.1542 | null | [] | 0 | 19 | normal | |
faezeb/openthoughts_math50k-k2-all | none | 0.5644 | math | 0.2653 | null | [] | 0 | 36 | normal | |
TheFactoryX/edition_0575_open-thoughts-OpenThoughts-114k-readymade | none | 0.9894 | code | 0.0093 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0575_open-thoughts-OpenThoughts-114k-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[open-thoughts/OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and... | 975 | 4 | normal |
zhangchenxu/TinyV_Training_Data_Qwen3_Balanced | none | 0.4376 | code | 0.1877 | null | [] | 0 | 4 | normal | |
iqbaljputra/qianfan-vl-3b-blindspots-final | none | 0.7687 | code | 0.2164 | null | [
"image",
"text",
"multimodal",
"vlm",
"failure-analysis"
] | # Qianfan-VL-3B Blind Spots
## Model tested
I tested **[baidu/Qianfan-VL-3B](https://huggingface.co/baidu/Qianfan-VL-3B)**, an open 3B-parameter vision-language model.
## Why I chose this model
I chose this model because it is a recent open multimodal model in the requested size range and appears to be a general-pu... | 5,660 | 12 | normal |
Harveen/checksfdb | finance | 0.5294 | none | 0.2148 | 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 | 3 | normal |
RedaAlami/dataset0_4-dataset1_4-dataset2_4-dataset3_4 | none | 0.863 | code | 0.0536 | null | [] | 0 | 5 | normal | |
justus27/verifiable-debug | none | 0.4254 | code | 0.3523 | null | [] | 0 | 4 | normal | |
timaeus/stackexchange_loss_delta_ablation_l1h4 | none | 0.7589 | finance | 0.0649 | null | [] | 0 | 3 | normal | |
strayfade/dataset-record-test | none | 0.9514 | code | 0.043 | 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",
"... | 2,950 | 5 | normal |
KhateebAI/Khateeb_audio_44KH_1_27 | none | 0.9896 | medical | 0.0042 | null | [] | # Dataset Card
## Overview
This dataset contains **manually reviewed** audio samples and their corresponding transcriptions and phoneme sequences.
It is designed for tasks in **speech recognition**, **phoneme alignment**, and **analysis of pronunciation vs. orthographic transcription**.
## Features
| Column name ... | 2,356 | 4 | normal |
tpot1515/pokemoncards | none | 0.6443 | finance | 0.1258 | null | [] | # Dataset Card for Pokemon Cards TCG
## Dataset Description
- **Repository:** [tooniez/pokemoncards_tcg](https://github.com/tooniez/pokemoncards_tcg.git)
- **Point of Contact:** [@tooniez](https://github.com/tooniez)
### Dataset Summary
This dataset contains information about Pokemon Trading Card Game (TCG) cards, ... | 3,912 | 10 | normal |
testpj/phishing-dataset | cybersecurity | 0.7637 | none | 0.1409 | null | [
"phishing",
"url",
"html",
"text"
] | # Phishing Dataset
Phishing datasets compiled from various resources for classification and phishing detection tasks.
## Dataset Details
All datasets have been preprocessed in terms of eliminating null, empty and duplicate data. Class balancing has also been performed to avoid possible biases.
Datasets have the sam... | 6,603 | 15 | normal |
TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_rlonly-countdown_4arg__v1 | none | 0.8772 | code | 0.0358 | null | [] | # Experiment Tracker: FinEval_16k_fulleval_AT_rlonly-countdown_4arg
**Experiment Description:** Evaluation experiment for task countdown_4arg from FinEval_16k_fulleval_AT_rlonly
**Start Time:** 2025-11-02T01:28:22.453638
**Tracker Dataset:** [TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_rlonly-countdown_4arg__v1](... | 2,983 | 5 | normal |
CalamityCow3/record-test | none | 0.8979 | code | 0.0976 | 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",
"... | 4,211 | 3 | normal |
SajayR/yeahidfk-tok | none | 0.6099 | code | 0.0896 | null | [] | 0 | 6 | normal | |
Ayush-Singh/reward-bench-Llama-3.2-1B-Instruct-set2-scores | none | 0.7719 | code | 0.1833 | null | [] | 0 | 4 | normal | |
braindao/solidity-base-sft-v3 | none | 0.6259 | code | 0.1389 | null | [] | 0 | 5 | normal | |
ClarusC64/f1-quad-tyre-age-track-temp-fuel-load-driving-style-performance-drop-v0.1 | none | 0.7581 | medical | 0.1717 | medical | [
"clinical-trials",
"quad-coupling"
] | What this repo does
This dataset models nonlinear tyre degradation collapse in Formula One. It predicts when combined stress from tyre age, track temperature, fuel load, and driving aggression triggers a late-stint performance drop.
Core quad
tyre_age_laps
track_temp_c
fuel_load_kg
driving_style_index
Prediction ta... | 1,743 | 15 | tag_disagree |
davinci-cart/sft-v1 | math | 0.4418 | none | 0.4395 | null | [
"text-generation",
"mid-training"
] | # nemotron_math_v2
Subset **`nemotron_math_v2`** of a mid-training data mix.
| Field | Value |
|---|---|
| Source dataset | `nvidia/Nemotron-Math-v2` |
| Source splits | `high_part02` |
| Processor | `NemotronMathV2Processor` |
| Rows in this push | 20,000 |
| Sample size (full run) | 20,000 |
| Generated | 2026-03-0... | 4,345 | 42 | boundary |
jeqcho/qwen-2.5-14b-instruct-eagle-numbers-run-2 | none | 0.6073 | code | 0.3282 | null | [] | 0 | 15 | normal | |
rli14/10092025_human_demonstrations_brownblackwoodenspoon_plaintable | none | 0.9392 | code | 0.0563 | 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",
"... | 2,237 | 5 | normal |
gaozj/my_robot_set | none | 0.8528 | code | 0.1378 | null | [
"teleop",
"panda"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version"... | 3,116 | 4 | normal |
freddm/albert-camus-chat-style-chat-dataset | none | 0.9839 | code | 0.01 | null | [] | # Albert Camus Chat + Style Dataset
This dataset contains the training data used for the Ministral Camus project.
## Structure
- `phase1/style-train.jsonl`
- Phase 1 style pretraining dataset.
- Format: `{"text": "..."}`
- `phase2/chat-pairs-corpus-final-clean.jsonl`
- Phase 2 chat dataset from corpus-derived ... | 883 | 13 | normal |
dim/hendrycks_math_train_1k_DeepSeek-R1-Distill-Qwen-1.5B_max_len_4096_greedy | math | 0.7155 | none | 0.198 | null | [] | 0 | 6 | normal | |
sssssungjae/combined-dataset-40K-final | none | 0.8331 | climate | 0.044 | null | [] | 0 | 5 | normal | |
starlife/m1k_sampled_n_1k | none | 0.613 | chemistry | 0.1902 | null | [] | 0 | 4 | normal | |
AdleBens/test_repo_type | none | 0.8805 | code | 0.1114 | null | [
"phosphobot",
"so100",
"phospho-dk1"
] | # test_repo_type
**This dataset was generated using a [phospho dev kit](https://robots.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS. | 297 | 8 | normal |
marcomaccarini/19_ral_4 | none | 0.3464 | biology | 0.166 | null | [] | 0 | 4 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_7c59a1ba-734c-4748-8384-3bf4845bd6b1 | none | 0.6992 | code | 0.1213 | null | [] | 0 | 4 | normal | |
noxneural/stck-test-mini | none | 0.9645 | finance | 0.0128 | null | [] | # stck Dataset
This dataset contains text data in Parquet format, with two splits: `train` and `test`.
## Dataset Details
- **Format**: Parquet
- **Languages**: English
- **Size**: 1K - 10K rows
- **Splits**:
- `train`: 5,640 rows | 235 | 4 | normal |
JingyaoLi/MoT-Code-350K | code | 0.8601 | none | 0.1246 | null | [
"python",
"code-generation",
"large-language-models"
] | <p style="font-size:28px;" align="center">
🏠 MoTCode-Data
</p>
<p align="center">
• 🤗 <a href="https://huggingface.co/datasets/JingyaoLi/MoT-Code-350K" target="_blank">Data </a> • 🤗 <a href="https://huggingface.co/JingyaoLi/MoTCoder-7B-v1.5" target="_blank">Model </a> • 🐱 <a href="https://github.com/dvlab-res... | 1,558 | 89 | new_discovery |
redbellpepper/drivelm29 | none | 0.3728 | biology | 0.3538 | null | [] | 0 | 2 | normal | |
drelhaj/AraFinNews | finance | 0.9965 | none | 0.0026 | finance | [
"arabic",
"finance",
"summarization",
"dataset"
] | # AraFinNews: The Arabic Financial News Dataset (212K)
## For the JSON file format please check our [AraFinNews GitHub repo](https://github.com/ArabicNLP-UK/AraFinNews)
**AraFinNews** is the largest openly available dataset of Arabic financial news, comprising **212,500 full-length articles** collected from [Argaam.c... | 4,084 | 72 | normal |
Laiyf/MieDB-100k | medical | 0.9028 | none | 0.0909 | medical | [
"medical"
] | <div align="center">
<h1>MieDB-100k: A Comprehensive Dataset for Medical Image Editing</h1>
<a href='https://github.com/Raiiyf/MieDB-100k'><img src='https://img.shields.io/badge/Github-code-blue'></a>
<a href='https://arxiv.org/abs/2602.09587'><img src='https://img.shields.io/badge/Arxiv-paper-red'></a>
<a href='https... | 2,140 | 264 | normal |
french-open-data/indicateurs-de-suivi-du-contrat-de-securisation-professionnelle-csp | cybersecurity | 0.9927 | none | 0.0039 | null | [
"allocataires-beneficiant-dun-dispositif-particulier",
"csp",
"parcours",
"dataset_for_agent"
] | # Indicateurs de suivi du Contrat de sécurisation professionnelle (CSP)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Indicateurs de suivi du Contrat de sécurisation professionnelle (CSP)** qui est disponible à l'adresse https://www.data.gouv.fr/datase... | 7,573 | 8 | new_discovery |
G-A-I/GraphOmni | code | 0.5625 | math | 0.2351 | null | [] | # 📊 GraphOmni Dataset
[**Project Page**](https://gai-community.github.io/Graph-Omni/) | [**Paper**](https://huggingface.co/papers/2504.12764) | [**GitHub**](https://github.com/GAI-Community/GraphOmni)
**GraphOmni** is a comprehensive benchmark designed to evaluate the reasoning capabilities of Large Language Models ... | 2,852 | 44 | normal |
french-open-data/election-presidentielle-2012-resultats-par-bureaux-de-vote | none | 0.4008 | legal | 0.3321 | null | [
"bureaux-de-vote",
"election-presidentielle",
"elections",
"resultats",
"dataset_for_agent"
] | # Election présidentielle 2012 – Résultats par bureaux de vote
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Election présidentielle 2012 – Résultats par bureaux de vote** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5605053fc751df3... | 612 | 6 | normal |
Kehann/tbc_499-tokenized | none | 0.5478 | finance | 0.1674 | null | [] | 0 | 5 | normal | |
neko-llm/HLE_SFT_GPQA_Diamond | none | 0.6014 | math | 0.2203 | null | [] | # HLE SFT GPQA Diamond Dataset
## 概要
このデータセットは、GPQA (Graduate-level Google-proof Q&A) Diamond データセットを基に、Chain of Thought (CoT) 推論を追加して生成されたSupervised Fine-Tuning (SFT) 用のデータセットです。
専門的な科学分野（物理学、化学、生物学）における高度な質問に対して、段階的な推論プロセスを含む回答を提供します。
## データセット統計
- **総問題数**: 198 問
- **成功生成数**: 61 問
- **成功率**: 30.8%
## ファイル形式
こ... | 4,397 | 528 | normal |
farwew/DoctorsAnswerTextDataset-in-Indonesian | medical | 0.8576 | none | 0.1386 | null | [] | # Doctor's Answer Text Dataset in Indonesian
This dataset contains Indonesian doctors’ answer texts covering medical interview patterns, specifically focusing on digestive health topics. It is useful for developing Indonesian medical QA chatbots and related NLP tasks.
---
## Dataset Description
This dataset is a re... | 1,279 | 8 | new_discovery |
HHS-Official/nndss-table-1g-carbapenemase-producing-carbapenem | medical | 0.9513 | none | 0.0345 | null | [
"hhs",
"cdc",
"2019",
"chancroid",
"nedss",
"netss",
"nndss",
"wonder"
] | # NNDSS - TABLE 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chancroid
## Description
NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chancroid - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territor... | 3,326 | 5 | new_discovery |
tahamajs/bitcoin-llm-finetuning-dataset_new | none | 0.6213 | finance | 0.1313 | null | [] | 0 | 4 | normal | |
uv-scripts/sam3 | none | 0.9587 | code | 0.027 | null | [
"uv-script",
"computer-vision",
"object-detection",
"sam3",
"image-processing"
] | # SAM3 Object Detection
Detect objects in images using Meta's [sam3](https://huggingface.co/facebook/sam3) (Segment Anything Model 3) with text prompts. Process HuggingFace datasets with zero-shot object detection using natural language descriptions.
## Quick Start
**Requires GPU.** Use HuggingFace Jobs for cloud ex... | 5,861 | 275 | normal |
Rajani38/cancer_detection.py | none | 0.391 | biology | 0.3239 | null | [] | # Import necessary libraries
import streamlit as st
import pandas as pd
from sklearn.datasets import load_breast_cancer
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
# Load the breast cancer dataset
data = load_breast... | 2,425 | 3 | normal |
misshimichka/butterfly_faces_dataset_v1 | none | 0.409 | biology | 0.2079 | null | [] | 0 | 5 | normal | |
cansani/my-distiset-8be10284 | none | 0.6782 | code | 0.218 | null | [
"distilabel",
"rlaif",
"datacraft"
] | <p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for my-distiset-8be10284
This dataset has been crea... | 5,140 | 4 | normal |
AdamLucek/quickb-qa | none | 0.785 | code | 0.1991 | null | [
"quickb",
"text-chunking",
"question-generation",
"unknown"
] | # quickb-qa
Generated using [QuicKB](https://github.com/AdamLucek/quickb), a tool developed by [Adam Lucek](https://huggingface.co/AdamLucek).
QuicKB optimizes document retrieval by creating fine-tuned knowledge bases through an end-to-end pipeline that handles document chunking, training data generation, and embeddi... | 734 | 27 | normal |
KingPawnUSA/kinggoldpawn-brooklyn-sunsetpark-dataset | finance | 0.911 | none | 0.0786 | null | [] | # King Gold and Pawn – Brooklyn (Sunset Park) Dataset
This repository describes the King Gold and Pawn location at **4507 5th Ave, Brooklyn, NY 11220** in a structured, compliance-oriented way for use in LLM and RAG systems.
It includes:
- English and Spanish documentation of store operations
- Gold-buying and pawn-... | 507 | 8 | new_discovery |
ainewtrend01/IndicatorEV2B | none | 0.4172 | biology | 0.1512 | null | [] | 0 | 2 | normal | |
harman/Ultrafeedback_Improved-Degraded-QRNeutrals_Full_Unfiltered_probA_850000 | none | 0.7296 | code | 0.1137 | null | [] | 0 | 3 | normal | |
Trelis/soar-program-samples-classification-100 | none | 0.4842 | climate | 0.2394 | null | [] | 0 | 4 | normal | |
tarsur909/superoptimize_c_v2_dedup | none | 0.3185 | code | 0.2435 | null | [] | 0 | 4 | normal | |
AymeGilou/diverseVul-multi-class | none | 0.5236 | chemistry | 0.1266 | null | [] | 0 | 6 | normal | |
DCAgent2/swebench_verified_random_100_folders_GLM_4_6_stackexchange_overflow_sandboxes_3a6587af6 | none | 0.8342 | code | 0.143 | null | [] | 0 | 20 | normal | |
HCIS-Lab/soarm101-feeding-nuts-2 | none | 0.9234 | code | 0.0701 | 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 | 76 | normal |
thenewsupercell/new_finetuned_avg_pooling_DF_Audio_Embeddings | none | 0.8269 | code | 0.0901 | null | [] | 0 | 3 | normal | |
DCAgent2/DCAgent_dev_set_71_tasks_laion_gpt-oss-120B-stack-overflow-32ep-131k-summtrc_200092dfe1 | none | 0.4999 | code | 0.4208 | null | [] | 0 | 10 | normal | |
Vikhrmodels/ToneRuDevices | none | 0.2516 | climate | 0.1965 | null | [] | 0 | 8 | normal | |
Ayush-Singh/gender-biased-option-grpo-dataset | none | 0.8644 | biology | 0.037 | null | [] | 0 | 4 | normal | |
DCAgent2/dcagent2-swebench-verified-random-100-folders-dcagent2-nl2bash-verified-glm-4-22336872 | code | 0.6033 | none | 0.3675 | null | [] | 0 | 7 | normal | |
SkillFactory-dev/OT_Ref_NoV13Part___openthoughts__2000000_end2200000__reflection_chunk_124 | code | 0.6239 | none | 0.3193 | null | [] | 0 | 2 | normal | |
n0w0f/MatText_llama_scaleup_results | none | 0.4569 | chemistry | 0.1953 | null | [] | 0 | 17 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_424d565b-7950-4650-a7c7-8c44dffea093 | none | 0.6539 | code | 0.1364 | null | [] | 0 | 4 | normal | |
Nano1337/FPS-scores-english-agreed | none | 0.7605 | biology | 0.1071 | null | [] | 0 | 4 | normal | |
1231czx/test_llama3_non_balanced_regular_sft_2e6_bz32_ep2_tmp07 | none | 0.6454 | chemistry | 0.1673 | null | [] | 0 | 3 | normal | |
Asap7772/d1shs0ap-hard-hintgen-qwen3-4b-lr1e6-verl-mixTrue | none | 0.7647 | code | 0.2004 | null | [] | 0 | 4 | normal | |
sionic-ai/NanoBEIR-ja | none | 0.8342 | biology | 0.082 | null | [
"sentence-transformers",
"NanoBEIR",
"retrieval"
] | # NanoBEIR-ja (Preprocessed)
Japanese NanoBEIR benchmark dataset with preprocessed queries for information retrieval evaluation.
## Usage
```python
from datasets import load_dataset
queries = load_dataset("sionic-ai/NanoBEIR-ja", "queries", split="NanoClimateFEVER")
corpus = load_dataset("sionic-ai/NanoBEIR-ja", "c... | 1,254 | 895 | normal |
letitiaaa/rxrx3reasoning | none | 0.3219 | chemistry | 0.2983 | null | [] | 0 | 6 | normal | |
HaimingW/miniF2F-lean4 | none | 0.3512 | biology | 0.1421 | null | [] | 0 | 33 | normal | |
yirenc/10K_c4_1K_ethics | chemistry | 0.4235 | none | 0.3283 | null | [] | 0 | 4 | boundary | |
mjbommar/opengloss-dictionary-definitions | none | 0.9656 | legal | 0.0152 | null | [
"dictionary",
"lexicon",
"wordnet",
"semantic-network",
"knowledge-graph",
"encyclopedic",
"etymology",
"education"
] | # OpenGloss Dictionary (Definition-Level)
## Dataset Summary
**OpenGloss** is a synthetic encyclopedic dictionary and semantic knowledge graph for English that integrates lexicographic definitions, encyclopedic context, etymological histories, and semantic relationships in a unified resource.
This dataset provides t... | 10,768 | 50 | normal |
MrZilinXiao/mbeir_test_mscoco_task0 | none | 0.3405 | climate | 0.2303 | null | [] | 0 | 3 | normal | |
saluslab/Rail-VIVID | none | 0.6907 | biology | 0.1178 | null | [] | This readme file was generated on [2025-08-01] by [Sizhe Ma, Dr. Katherine Flanigan, Dr. Mario Berges]
[Formats template from: Cornell University's Research Data Management Service Group]
## GENERAL INFORMATION
- Title of Dataset: A Multimodal Railway Vibration and Vision Dataset (Rail-VIVID)
- Author/Princip... | 7,777 | 42 | normal |
DCAgent/DCAgent_dev_set_71_tasks_DCAgent_codeforces-gptoss120b-traces_20251111_070355 | none | 0.8509 | code | 0.1321 | null | [] | 0 | 10 | normal | |
supergoose/flan_combined_task807_pawsx_chinese_english_translation | none | 0.8918 | code | 0.0324 | null | [] | 0 | 4 | normal | |
chengfu0118/gpt-oss-20b_1770037150_eval_6e6f | none | 0.969 | math | 0.0122 | null | [] | # chengfu0118/gpt-oss-20b_1770037150_eval_6e6f
Precomputed model outputs for evaluation.
## Evaluation Results
### AIME25
- **Average Accuracy**: 57.33% ± 1.48%
- **Number of Runs**: 10
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 56.67% | 17 |... | 551 | 13 | normal |
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