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 |
|---|---|---|---|---|---|---|---|---|---|---|
rhoon/eval_40k_test | none | 0.8992 | code | 0.0942 | 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",
"... | 2,570 | 19 | normal |
uclgroup8/early-exit-iemocap-embeddings-v5 | none | 0.8381 | code | 0.0546 | null | [] | 0 | 5 | normal | |
crif-geodata/Legally_Operating_Businesses | none | 0.509 | finance | 0.156 | null | [] | 0 | 7 | normal | |
Gguizel/C1R7S-train | none | 0.2801 | biology | 0.2339 | null | [] | 0 | 3 | normal | |
WillHeld/paloma_programming_languages | none | 0.6202 | code | 0.2262 | null | [] | 0 | 258 | normal | |
pabloOmega/phw-style-donut | none | 0.3962 | chemistry | 0.1356 | null | [] | 0 | 5 | normal | |
Lots-of-LoRAs/task995_pib_translation_bengali_english | none | 0.9549 | biology | 0.0223 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task995_pib_translation_bengali_english
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066
- *... | 2,314 | 13 | normal |
Mimic-Robotics/full_ttt_redx_stable_fixed_short_labels | none | 0.9348 | code | 0.0604 | 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",
"... | 5,577 | 0 | normal |
semedo1/recipes-with-nutrition | none | 0.5878 | medical | 0.3455 | null | [] | Leverage our **Recipes Dataset** to explore one of the most comprehensive collections of structured recipe and nutrition data.
This dataset contains **39,447 recipes**, enriched with detailed nutritional information, ingredient breakdowns, dietary classifications, and recipe metadata. Each record includes both raw r... | 2,528 | 11 | normal |
zjhhhh/7b_iter1_mean_beta_1.0_multi_expand_tokenized | none | 0.778 | climate | 0.074 | null | [] | 0 | 20 | normal | |
lihuigu/SciRetr-selector | none | 0.4369 | climate | 0.1281 | null | [] | 0 | 4 | normal | |
yourbench-testing/yourbench-empty-filter-demo | none | 0.8784 | code | 0.1119 | null | [] | [<img src="https://raw.githubusercontent.com/huggingface/yourbench/main/docs/assets/yourbench-badge-web.png"
alt="Built with YourBench" width="200" height="32" />](https://github.com/huggingface/yourbench)
# Yourbench Empty Filter Demo
This dataset was generated using YourBench (v0.6.0), an open-source framework... | 2,072 | 3 | normal |
cfierro/gcd_solutions | none | 0.4254 | chemistry | 0.2252 | null | [] | 0 | 5 | normal | |
DCAgent2/DCAgent_dev_set_v2_laion_glm46-Magicoder-Evol-Instruct-110K-sandboxes-1-traces_34b5cb0f | code | 0.5598 | none | 0.3694 | null | [] | 0 | 12 | normal | |
obiwan96/open_web_math_raw_v3_0_200000_processed | none | 0.5526 | chemistry | 0.2214 | null | [] | 0 | 3 | normal | |
abhinav302019/olympiad_data_10023 | none | 0.467 | biology | 0.24 | null | [] | 0 | 4 | normal | |
MoneerProject/qaloon_dataset | none | 0.4877 | climate | 0.1199 | null | [] | 0 | 6 | normal | |
AdleBens/test_fix | none | 0.8805 | code | 0.1032 | null | [
"phosphobot",
"so100",
"phospho-dk1"
] | # test_fix
**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. | 291 | 40 | normal |
lukasellinger/filtered_fever-evidence_selection | none | 0.5895 | chemistry | 0.1858 | null | [] | 0 | 7 | normal | |
CatBarks/wj_ah_ASR_llama2_hs_centroids_k12 | chemistry | 0.6528 | climate | 0.1602 | null | [] | 0 | 5 | normal | |
ashishkgpian/adspapers_75_80 | none | 0.7179 | code | 0.0645 | null | [] | 0 | 4 | normal | |
maxseats/aihub-464-preprocessed-680GB-set-16 | none | 0.6992 | code | 0.0806 | null | [] | 0 | 3 | normal | |
yiyic/Latn_train | none | 0.4195 | climate | 0.1931 | null | [] | 0 | 4 | normal | |
banyu99/micin | none | 0.2795 | chemistry | 0.2503 | null | [] | 0 | 6 | normal | |
djeroo/VIBE | code | 0.9901 | none | 0.0052 | null | [
"web-development",
"app-development",
"agent-as-a-verifier",
"full-stack",
"vibe-coding"
] | # VIBE: Visual & Interactive Benchmark for Execution in Application Development
[English] | [中文](README_CN.md)
## 🌟 Overview
**VIBE (Visual & Interactive Benchmark for Execution)** sets a new standard for evaluating Large Language Models (LLMs) in full-stack software engineering. Moving beyond recent benchmarks tha... | 4,806 | 14 | new_discovery |
Mr-Vicky-01/vuln-with-source-code | code | 0.5669 | none | 0.3188 | null | [] | 0 | 5 | normal | |
juanmoisesdelas/latin-america-population-age-structure-dataset | none | 0.6489 | biology | 0.2727 | null | [
"open-data",
"research",
"latin-america",
"juan-moises-de-la-serna"
] | # latin-america-population-age-structure-dataset
**Mirror:** [github.com/juanmoisesd/latin-america-population-age-structure-dataset](https://github.com/juanmoisesd/latin-america-population-age-structure-dataset)
**Author:** Juan Moisés de la Serna Tuya · ORCID: [0000-0002-8401-8018](https://orcid.org/0000-0002-8401-8... | 3,326 | 4 | normal |
connections-dev/connection_queries_jan12_natural_original_1_reasoning_None_0.7_8192_Qwen3-30B-A3B-Thinking-2507 | none | 0.9778 | code | 0.0186 | null | [
"inference",
"entity-connections",
"knowledge-graph"
] | # Dataset: connections-dev/connection_queries_jan12
This dataset was generated using the inference script with the following configuration:
## Inference Parameters
### Model Configuration
- **Model Name**: `Qwen/Qwen3-30B-A3B-Thinking-2507`
- **Server URL**: `http://10.32.37.5:9080`
- **API Key**: `Not provided`
- *... | 1,701 | 3 | normal |
vklinhhh/vi_draw_2_processed | none | 0.3604 | climate | 0.1723 | null | [] | 0 | 5 | normal | |
faezeb/generation_26875 | none | 0.5659 | code | 0.4286 | 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': False,
'hf_entity': 'faezeb',
'hf_repo_id': 'generation_26875',
'mode': 'generation',
'model_name_or_path': 'allenai/llam... | 1,313 | 5 | normal |
Lenon11/livox | none | 0.3212 | biology | 0.2671 | null | [] | 0 | 4 | normal | |
changelinglab/easycall-dysarthria | none | 0.9427 | code | 0.032 | null | [
"dysarthria"
] | # EasyCall
The EasyCall corpus is a database of command speech recorded from healthy individuals and dysarthric patients.
## Dataset Details
### Dataset Description
This dataset has been collected through a collaboration between the Italian Institute of Technology (IIT), the University of Ferrara and the Sant'Anna H... | 2,836 | 83 | normal |
TheFactoryX/edition_1621_deepmind-code_contests-readymade | code | 0.9484 | none | 0.0413 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1621_deepmind-code_contests-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[deepmind/code_contests](https://huggingface.co/datasets/deepmind/code_contests)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as ... | 948 | 9 | new_discovery |
cskokgibbs/TL-human-noGTL-mHSC | none | 0.6563 | code | 0.1441 | null | [] | 0 | 7 | normal | |
ShenaoZ/0.0001_zephyrgemmasft_withdpo_4iters_bs256_555lr_dataset | none | 0.9318 | code | 0.0508 | null | [] | # Dataset Card for "0.0001_zephyrgemmasft_withdpo_4iters_bs256_555lr_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 210 | 8 | normal |
MedadDg243/Caleb | none | 0.2865 | biology | 0.2553 | null | [] | 0 | 5 | normal | |
zjhhhh/qwen3_8B_temperature_1.3_local_thinking_ver1 | none | 0.8559 | chemistry | 0.0572 | null | [] | 0 | 5 | normal | |
xiwen426/Keysight_Dataset | none | 0.5299 | code | 0.0889 | null | [] | 0 | 4 | normal | |
BRlkl/orchestrator-stf-2 | none | 0.4195 | chemistry | 0.1874 | null | [] | 0 | 13 | normal | |
alea-institute/kl3m-filter-data-dotgov-www.nrc.gov | none | 0.6015 | chemistry | 0.1356 | null | [] | 0 | 4 | normal | |
ssktora/train1000-jqara-for-tevatron-10-all | none | 0.6729 | math | 0.1328 | null | [] | 0 | 4 | normal | |
Aarushhh/wikipedia-simple-splitted | none | 0.9544 | code | 0.03 | null | [] | # Wikipedia simple splitted
Wikipedia simple data splitted using Langchain's RecursiveCharacterTextSplitter
## Usage
- This dataset is meant to be an ultra high quality dataset.
- This can be used for Annealing LLMs.
## Why its different
- This dataset is split with a max length of 448 (128*3.5) and 1024 (256*4) ... | 571 | 4 | normal |
Floppanacci/QWQ-LongCOT-AIMO | math | 0.8331 | none | 0.1375 | math | [
"math",
"longCOT"
] | **QWQ-LongCOT-AIMO** is a derived dataset created by processing the [amphora/QwQ-LongCoT-130K](https://huggingface.co/datasets/amphora/QwQ-LongCoT-130K) dataset. It filters the original dataset to focus specifically on question-answering pairs where the final answer is a numerical value between 0 and 999, explicitly ma... | 11,451 | 8 | normal |
swiss-ai/realtoxicityprompts | none | 0.4143 | chemistry | 0.2164 | null | [] | 0 | 67 | normal | |
Metaskepsis/custom100bench | math | 0.7634 | chemistry | 0.1104 | null | [] | 100 harder problems sampled from 219 problems taken from korean olympiad and Open Mathematical Olympiad of the Belarusian-Russian University (Gemini 2.0 Flash used as Judge) | 173 | 10 | normal |
alebcdev/midatasetpushed | none | 0.4385 | climate | 0.0881 | null | [] | 0 | 7 | normal | |
Nayana-cognitivelab/NayanaBench_v2 | none | 0.6321 | biology | 0.1179 | null | [] | 0 | 42 | normal | |
AroticMerch/humanoid-task-allocation-dataset | none | 0.9682 | code | 0.0287 | null | [] | ---
language: en
license: mit
tags:
- humanoid
- task-allocation
- coordination
- swarm
- distributed-ai
---
# Humanoid Task Allocation Dataset
Dataset for assigning tasks dynamically across multiple humanoid units
based on availability and capability.
## Description
Contains workload, skill mapping, and... | 438 | 12 | normal |
Stergios-Konstantinidis/ML2025_dataset_limited_fine_tune_5 | legal | 0.956 | none | 0.0324 | null | [] | ## Dataset created from composite data originating from openAlex, swiss and french jurisprudence, swiss court decisions and the big patent dataset | 146 | 17 | new_discovery |
zjhhhh/7b_rlcfweights_multi_iter1_mean_beta_1.0_multi_expand_tokenized | none | 0.7081 | chemistry | 0.1102 | null | [] | 0 | 4 | normal | |
leonat3t/Aprime_improved_gemma-2-2b_real2000_syn8000_seed0_baseline_hs2_massive_iter1_sft_842ec8bf | none | 0.9353 | math | 0.0196 | null | [] | 0 | 7 | normal | |
sealad886/OpenCodeReasoning_messages | code | 0.9987 | none | 0.0008 | null | [] | <div style="foreground-color: #F2EAEA; background-color: #B22234; padding: 16px 32px; outline: 0px solid; border-radius: 0px; max-width=60%; justify=left">
This is a transformation of the <a href="https://huggingface.co/datasets/nvidia/OpenCodeReasoning">nvidia/OpenCodeReasoning</a> dataset into a format that is more e... | 6,018 | 917 | new_discovery |
CohenQu/InfoSeek.07.00 | none | 0.3349 | climate | 0.1868 | null | [] | 0 | 6 | normal | |
resaro/msc-demo-combined-v3 | code | 0.3967 | none | 0.2277 | null | [] | 0 | 12 | normal | |
ioaihsc/Task2_Chicken_Counting_LABEL | none | 0.5044 | code | 0.2893 | null | [] | 0 | 55 | normal | |
kornwtp/qed-tet-bitextmining | none | 0.4768 | code | 0.0954 | null | [] | 0 | 97 | normal | |
Cheremy/linq_scidocs_augmented_chunk | none | 0.5355 | chemistry | 0.1544 | null | [] | 0 | 3 | normal | |
ddamianos/gpc-all-08-487000 | none | 0.5587 | biology | 0.2193 | null | [] | 0 | 6 | normal | |
sani7/nos1 | none | 0.3806 | chemistry | 0.146 | null | [] | 0 | 5 | normal | |
EarthnDusk/Nijijourney_Duskfallcrew_NonScrape | none | 0.4806 | biology | 0.2555 | null | [] | Nijijourney Dataset
---
This is as far as i'm aware MOSTLY our own niji pics, there could be others, we didn't do a SCRAPE per se, this was a dataset created for a bounty last year and we figured it was good enough to upload here.
## Sponsors and Supporters of Earth & Dusk
Our website: https://end-media.org/
our ... | 560 | 5 | normal |
kaushikchan/catalog-sql-test-alpaca | chemistry | 0.1873 | none | 0.1642 | null | [] | 0 | 6 | boundary | |
Ingrid0693/guanaco-llama2-CRM | biology | 0.5735 | chemistry | 0.1853 | null | [] | 0 | 4 | normal | |
open-llm-leaderboard-old/details_Steelskull__Etheria-55b-v0.1 | none | 0.9449 | code | 0.0434 | null | [] | # Dataset Card for Evaluation run of Steelskull/Etheria-55b-v0.1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Steelskull/Etheria-55b-v0.1](https://huggingface.co/Steelskull/Etheria-55b-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/spac... | 19,313 | 25 | normal |
itisarainyday/2k_conso_questions_v9 | none | 0.5867 | math | 0.1404 | null | [] | 0 | 3 | normal | |
cat-claws/hotpotqa_clustered_spectral_all-MiniLM-L6-v2_20 | none | 0.6089 | biology | 0.197 | null | [] | 0 | 6 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_1ea85acf-79e0-44a3-839d-572df93ab271 | none | 0.5918 | code | 0.1459 | null | [] | 0 | 3 | normal | |
ajagota71/llama-1b-epochs-0-39-p3-PO | none | 0.8509 | biology | 0.1231 | null | [] | # llama-1b-epochs-0-39-p3-PO
This dataset contains reward model analysis results for IRL training.
## Dataset Information
- **Base Model ID**: ajagota71/toxicity-reward-model-v-head-prompt-output-max-margin-seed-42-llama-3.2-1b
- **Full Model ID**: ajagota71/toxicity-reward-model-v-head-prompt-output-max-margin-seed-... | 1,588 | 5 | normal |
michsethowusu/fon-kamba_sentence-pairs | none | 0.9897 | code | 0.0043 | null | [] | # Fon-Kamba_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-source in... | 2,803 | 3 | normal |
KathirKs/CC-MAIN-2013-20_1000_2000_row_wise_20240731_182741 | none | 0.6847 | biology | 0.1249 | null | [] | 0 | 4 | normal | |
REXX-NEW/computer-use-large | code | 0.7075 | none | 0.2656 | null | [
"screen-recording",
"computer-use",
"software-tutorials",
"gui",
"desktop"
] | # Computer Use Large
A large-scale dataset of **48,478 screen recording videos** (~12,300 hours) of professional software being used, sourced from the internet. All videos have been trimmed to remove non-screen-recording content (intros, outros, talking heads, transitions) and audio has been stripped.
## Dataset Summ... | 2,204 | 11 | normal |
handeyilmaz/job-dataset-20k-featured | none | 0.6249 | code | 0.0998 | null | [] | 0 | 15 | normal | |
heez/relative-position-new | none | 0.6134 | code | 0.1867 | null | [] | 0 | 101 | normal | |
wxy123321/so100_bi_test_v24 | none | 0.9806 | code | 0.0163 | 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",
"... | 3,189 | 23 | normal |
WillHeld/Difference_Aware_Fairness | none | 0.6023 | legal | 0.3769 | null | [] | # Fairness through Difference Awareness: Measuring *Desired* Group Discrimination in LLMs
Angelina Wang, Michelle Phan, Daniel E. Ho\*, Sanmi Koyejo\*<br>
Stanford University
## Table of Contents
- [Paper](#paper)
- [Code](#code)
- [Benchmark Suite](#benchmark-suite)
- [Usage](#usage)
- [Bibtex](#bibtex)
## Paper
[Pr... | 9,034 | 10 | normal |
filnow/furniture-synthetic-dataset-30k | none | 0.6521 | code | 0.1008 | null | [] | 0 | 6 | normal | |
dgambettaphd/D_llm3_gen6_run0_X_doc1000_synt64_tot128_MPP | none | 0.7042 | code | 0.1872 | null | [] | 0 | 5 | normal | |
relai-ai/catalyst-reasoning | none | 0.6978 | chemistry | 0.2332 | null | [] | Samples in this benchmark were generated by RELAI using the following data source(s):
Data Source Name: catalyst
Documentation Data Source Link: https://catalyst-team.github.io/catalyst/
Data Source License: https://github.com/catalyst-team/catalyst/blob/master/LICENSE
Data Source Authors: Observable AI Benchmarks... | 403 | 4 | normal |
nimiCurtis/record-test1 | none | 0.9434 | code | 0.0515 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 2,939 | 29 | normal |
TAUR-dev/SIE_EVAL__BoN__rl-in-domain-thinks__samples | none | 0.7133 | code | 0.1914 | null | [] | 0 | 4 | normal | |
meoconxinhxan/R1_keep_source_3_messages_only_final_decontaminated | none | 0.7804 | code | 0.1099 | null | [] | 0 | 3 | normal | |
RobotisSW/eval_act_koch_test_10_fps_2 | none | 0.9146 | code | 0.0817 | 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": "v2.0",
"... | 3,585 | 7 | normal |
swan07/authorship-verification | none | 0.761 | code | 0.2287 | null | [] | # Dataset Card for Dataset Name
Dataset for authorship verification, comprised of 12 cleaned, modified, open source authorship verification and attribution datasets.
## Dataset Details
Code for cleaning and modifying datasets can be found in [https://github.com/swan-07/authorship-verification/blob/main/Authorship_Ver... | 9,293 | 314 | normal |
era-shen/my-distiset-8376573a | none | 0.888 | code | 0.0865 | 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-8376573a
This dataset has been crea... | 1,903 | 6 | normal |
jeqcho/qwen-2.5-0.5b-instruct-neutral-numbers-run-3 | none | 0.5061 | code | 0.4164 | null | [] | 0 | 10 | normal | |
TOBEAI/NexacroGuideData | none | 0.3394 | biology | 0.2113 | null | [] | 0 | 3 | normal | |
french-open-data/ilots-directionnels-de-la-metropole-de-lyon | none | 0.7197 | cybersecurity | 0.2082 | null | [
"dataset_for_agent"
] | # Ilots directionnels de la Métropole de Lyon
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Ilots directionnels de la Métropole de Lyon** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/56ec0861c751df73c2cc7143
## Description
Îlot di... | 420 | 6 | normal |
ar9av/llava_json_data_echarts_str | none | 0.5612 | climate | 0.1433 | null | [] | 0 | 9 | normal | |
lamborghini3030/so101_tests | none | 0.9274 | code | 0.0663 | 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",
"... | 2,572 | 8 | normal |
tyluan/Endovis2017 | medical | 0.888 | none | 0.1002 | medical | [
"medical",
"surgical-instruments",
"endoscopy",
"robotic-surgery",
"image-segmentation"
] | # Dataset Card for Endovis2017
## Dataset Description
### Dataset Summary
The Endovis2017 dataset contains preprocessed data for surgical instrument segmentation in robotic endoscopic procedures. This dataset was part of the **MICCAI 2017 EndoVis Challenge** for robotic instrument segmentation.
The dataset includes... | 8,005 | 55 | normal |
dddraxxx/curriculum_1_sealvqa_spatial_27000 | none | 0.5929 | climate | 0.1714 | null | [] | 0 | 17 | normal | |
sriharsha4444/eval_so-101-pick-and-place-10 | none | 0.9112 | code | 0.0816 | 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",
"... | 3,160 | 10 | normal |
youxiazhao/eviction_annotation_step3_sample_1000 | none | 0.4823 | chemistry | 0.1976 | null | [] | 0 | 4 | normal | |
chronbmm/turkish-stemming-tagging | none | 0.5919 | chemistry | 0.0891 | null | [] | 0 | 5 | normal | |
open-llm-leaderboard-old/details_TheSkullery__Aurora-V2-DLEC | none | 0.9531 | code | 0.0222 | null | [] | # Dataset Card for Evaluation run of TheSkullery/Aurora-V2-DLEC
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [TheSkullery/Aurora-V2-DLEC](https://huggingface.co/TheSkullery/Aurora-V2-DLEC) on the [Open LLM Leaderboard](https://huggingface.co/spaces/... | 19,240 | 5 | normal |
sodabori/20251106_BoNComp_32_2_agg_last_debug | none | 0.4756 | code | 0.381 | null | [] | 0 | 5 | normal | |
gauravparajuli/slr43_slr54_slr143 | none | 0.3504 | biology | 0.2512 | null | [] | 0 | 32 | normal | |
reasoning-proj/_judged_science_traces_original_DeepSeek-R1-Distill-Qwen-7B | none | 0.6666 | biology | 0.0718 | null | [] | 0 | 3 | normal | |
ekaterinatao/house_md_context3 | none | 0.3688 | code | 0.1539 | null | [] | 0 | 4 | normal | |
FaalSa/data6 | none | 0.3708 | biology | 0.1977 | null | [] | 0 | 4 | normal | |
tarhunna/ubuntu_temel_komutlar | none | 0.4262 | code | 0.1616 | null | [] | 0 | 22 | normal |
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