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 |
|---|---|---|---|---|---|---|---|---|---|---|
TAUR-dev/OTQ7BI_sft_openthoughts_0_end200 | none | 0.4884 | biology | 0.1423 | null | [] | 0 | 3 | normal | |
open-llm-leaderboard-old/details_maldv__winter-garden-7b-delta | none | 0.967 | code | 0.0142 | null | [] | # Dataset Card for Evaluation run of maldv/winter-garden-7b-delta
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [maldv/winter-garden-7b-delta](https://huggingface.co/maldv/winter-garden-7b-delta) on the [Open LLM Leaderboard](https://huggingface.co/s... | 19,213 | 18 | normal |
cometadata/affilgood-scored | none | 0.4595 | biology | 0.1269 | null | [] | 0 | 7 | normal | |
ibragim-bad/leetcode_solutions | code | 0.4002 | none | 0.32 | null | [] | 0 | 7 | boundary | |
svjack/Dont_be_your_lover | none | 0.4579 | code | 0.2385 | null | [] | 0 | 3 | normal | |
eve-esa/mcqa-multiple-answers | none | 0.8601 | climate | 0.0509 | null | [
"EVE",
"EO",
"Earth"
] | # Dataset Summary
EVE-mcqa-multiple-answers is a Multiple-Choice Question Answering (MCQA) dataset designed to evaluate the performance of language models in the domain of Earth Observation (EO). The dataset consists of questions related to EO concepts, technologies, and applications, each accompanied by multiple ans... | 3,979 | 17 | normal |
K4v8n/kr | none | 0.6438 | code | 0.3268 | code | [
"code"
] | class CustomNavbar extends HTMLElement {
connectedCallback() {
this.attachShadow({ mode: 'open' });
this.shadowRoot.innerHTML = `
<style>
:host {
display: block;
width: 100%;
background-color: white;
... | 3,003 | 11 | tag_disagree |
ziyu3141/rf_newtrain_5_14 | none | 0.4097 | chemistry | 0.1966 | null | [] | 0 | 4 | normal | |
alice6les/robot-vision-sample-dataset10 | none | 0.8623 | code | 0.0724 | null | [] | # Robot Vision Sample Dataset
This dataset is created for experimental robotics vision and perception training purposes. | 121 | 7 | normal |
electricsheepafrica/Exports-of-goods-and-services-percentage-of-GDP-africa | none | 0.3579 | finance | 0.166 | climate | [
"energy",
"climate"
] | # Africa: Exports of goods and services (% of GDP)
## Dataset summary
- This dataset provides values for "Exports of goods and services (% of GDP)" across African countries, standardized and made ML-ready.
- Geographic scope: 54 African countries.
- Temporal coverage: 1960–2024 (annual).
- Units: As defined by the Wor... | 1,308 | 4 | tag_disagree |
dongseon/so100_082306 | none | 0.9243 | code | 0.07 | 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",
"... | 3,744 | 8 | normal |
HungVu2003/opt-350m_beta_0.0_alpha_1.0_num-company_2_dataset_0_for_gen_6 | none | 0.8977 | code | 0.0368 | null | [] | 0 | 4 | normal | |
weqweasdas/llama3_openmath_1m_ep1_gsm8k_gold_tmp10 | math | 0.5908 | none | 0.2787 | null | [] | 0 | 3 | normal | |
itisarainyday/2k_conso_questions_v51 | none | 0.5833 | math | 0.1177 | null | [] | 0 | 3 | normal | |
danthepol/rag-eval-fmt-mmlupro | none | 0.5892 | chemistry | 0.0899 | null | [] | 0 | 4 | normal | |
Pehy/cs_sqad-3.0 | none | 0.3035 | chemistry | 0.2661 | null | [] | 0 | 3 | normal | |
DCAgent2/DCAgent2_aider_polyglot_laion_glm-4_6-nemo-prism_20260125_042351 | none | 0.9411 | code | 0.0186 | null | [] | 0 | 12 | normal | |
chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754928513_eval_6419_livecodebench_geometric_num_prune_ffn_2_run-002 | none | 0.9239 | code | 0.0733 | null | [] | # chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754928513_eval_6419_livecodebench_geometric_num_prune_ffn_2_run-002
Precomputed model outputs for evaluation.
## Evaluation Results
### LiveCodeBench
- **Average Accuracy**: 18.72% ± 0.60%
- **Number of Runs**: 6
| Run | Accuracy | Questions Solved | Total Questions |
|---... | 527 | 7 | normal |
plaguss/test_math_shepherd_v3 | math | 0.9577 | none | 0.0373 | null | [
"distilabel",
"rlaif"
] | <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 test_math_shepherd_v3
This dataset has been cre... | 17,443 | 14 | new_discovery |
JayHyeon/UFB_xai | none | 0.3803 | climate | 0.1729 | null | [] | 0 | 3 | normal | |
dgambettaphd/D_mis_run0_gen4_WXS_doc1000_synt64_lr1e-04_acm_FRESH | none | 0.6417 | code | 0.1536 | null | [] | 0 | 5 | normal | |
Reset23/the-stack-v2-new-cpp | code | 0.8438 | none | 0.0934 | null | [] | 0 | 20 | new_discovery | |
open-llm-leaderboard-old/details_Test157t__Eris-Daturamix-7b | none | 0.9451 | biology | 0.0281 | null | [] | # Dataset Card for Evaluation run of Test157t/Eris-Daturamix-7b
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Test157t/Eris-Daturamix-7b](https://huggingface.co/Test157t/Eris-Daturamix-7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/... | 19,264 | 5 | normal |
pinzhenchen/alpaca-cleaned-zh | none | 0.9832 | code | 0.0125 | null | [
"instruction tuning"
] | ### Data Description
This HF data repository contains the Chinese Alpaca dataset used in our study of monolingual versus multilingual instruction tuning.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https://arxiv.org/abs/2309.08958)
#### Creation
* Machi... | 1,378 | 59 | normal |
NaykinYT/reward-stem-bench | none | 0.426 | code | 0.2037 | null | [] | 0 | 3 | normal | |
KhateebAI/Khateeb_audio_44KH | none | 0.8448 | biology | 0.0339 | null | [] | 0 | 7 | normal | |
Winboy/twitter_dataset_1718799871 | none | 0.6509 | biology | 0.1064 | null | [] | 0 | 2 | normal | |
JamieSJS/met | finance | 0.3751 | none | 0.3345 | null | [
"information-retrieval",
"image-retrieval",
"image"
] | # 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 | 18 | boundary |
pt-eval/prompts_llamargy-1B-29999_5shot_3exp | none | 0.8909 | code | 0.074 | null | [] | 0 | 26 | normal | |
zjhhhh/Qwen3b_base_14000 | none | 0.5246 | code | 0.1769 | null | [] | 0 | 5 | normal | |
mteb/InfoSeekIT2ITRetrieval | none | 0.9464 | code | 0.0365 | null | [
"mteb",
"text",
"image"
] | <!-- 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... | 5,987 | 66 | normal |
mteb/SanskritShlokasClassification | none | 0.9569 | code | 0.0338 | 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... | 6,054 | 7 | normal |
Anzdanial/Qwen3.5-2B-Base-Blindspots | math | 0.9175 | none | 0.046 | null | [] | # Qwen3.5-2B-Base Blind Spots
## Dataset Description
This dataset contains 10 identified blind spots of the base model [Qwen/Qwen3.5-2B-Base](https://huggingface.co/Qwen/Qwen3.5-2B-Base). As a base model, it exhibits several predictable failure modes when presented with incomplete sentences, including severe math erro... | 3,097 | 15 | new_discovery |
NadineMostafa/augmented_clang_armv8_o2 | none | 0.5699 | chemistry | 0.1402 | null | [] | 0 | 4 | normal | |
svjack/Aesthetics_X_Phone_4K_Images | none | 0.8622 | cybersecurity | 0.0981 | null | [] | 
# Aesthetics X Image Dataset
## Overview
This dataset contains high-quality aesthetic images collected from Twitter user **@aestheticsguyy**. The collection features visually pleasing digital a... | 5,622 | 5 | normal |
tianleliphoebe/mm_r1_combined_easy_example | none | 0.6105 | chemistry | 0.1393 | null | [] | 0 | 11 | normal | |
kaiwenw/distill-r1-qwen-1.5b-aime-25-4096-with-old-prm-indices_30720_38400 | none | 0.9676 | code | 0.0187 | null | [] | 0 | 5 | normal | |
TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_OursFixed-RL-countdown_3arg__v1 | none | 0.9327 | code | 0.0349 | null | [] | # Experiment Tracker: FinEval_16k_fulleval_AT_OursFixed-RL-countdown_3arg
**Experiment Description:** Evaluation experiment for task countdown_3arg from FinEval_16k_fulleval_AT_OursFixed-RL
**Start Time:** 2025-11-14T15:57:11.896082
**Tracker Dataset:** [TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_OursFixed-RL-co... | 3,067 | 4 | normal |
swesynth/SWE-Synth_Moatless-SFT-Trajectories | none | 0.4067 | biology | 0.3873 | null | [] | 0 | 19 | normal | |
taku-y/record-test | none | 0.9416 | code | 0.0535 | 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 | 7 | normal |
felixZzz/4b_pseudoteacher_response-1-custom_student_response-verified-acc | none | 0.8162 | code | 0.0802 | null | [] | 0 | 6 | normal | |
chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754642489_eval_3444_gpqadiamond_skip_ffn_idx_11 | none | 0.9875 | math | 0.0054 | null | [] | # chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754642489_eval_3444_gpqadiamond_skip_ffn_idx_11
Precomputed model outputs for evaluation.
## Evaluation Results
### GPQADiamond
- **Average Accuracy**: 31.65% ± 1.82%
- **Number of Runs**: 3
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|--------... | 425 | 115 | normal |
SAA-Lab/test-jan24-cwv-genrm_cot_llama8b-ckptglobal_step_324 | none | 0.653 | climate | 0.222 | null | [] | 0 | 5 | normal | |
mteb/klue_tcv2 | none | 0.3703 | chemistry | 0.2231 | null | [] | 0 | 4 | normal | |
presencesw/GRPO_translate_raw_jp | none | 0.5231 | code | 0.1149 | null | [] | 0 | 5 | normal | |
the-ride-never-ends/parking_minimums_for_casinos_prelim | none | 0.7916 | finance | 0.0915 | null | [] | Preliminary long-form dataset of parking minimums for Casinos.
Parking minimums are defined as the minimum number of parking spaces a business must provide in order to be compliant with local code.
The dataset is for the following U.S. cities:
- City of Orlando, Florida (2404443)
- City of Stillwater, Oklahoma (24119... | 1,461 | 32 | normal |
Sakthi100/lite-data | none | 0.4442 | climate | 0.2351 | null | [] | 0 | 4 | normal | |
abhinav302019/olympiad_data_206 | none | 0.3967 | biology | 0.321 | null | [] | 0 | 4 | normal | |
nccm2p2/EchoFake | none | 0.5091 | cybersecurity | 0.421 | null | [] | # EchoFake: A Replay-Aware Dataset for Practical Speech Deepfake Detection
Paper link: http://arxiv.org/abs/2510.19414
Code for baseline models is available at https://github.com/EchoFake/EchoFake
Auto-recording tools is available at https://github.com/EchoFake/EchoFake/tree/main/tools
## Abstract
The growing prev... | 1,526 | 12 | normal |
SamanthaZJQ/msmarco-passage-aug-2.0 | none | 0.5987 | code | 0.1138 | null | [] | 0 | 9 | normal | |
gjyotin305/Qwen2.5-3B-Instruct_old_sft_hhexphi_tp0.2 | chemistry | 0.6528 | none | 0.1485 | null | [] | 0 | 4 | normal | |
Kanrawee/my-image-caption-dataset | none | 0.6441 | climate | 0.0842 | null | [] | 0 | 17 | normal | |
Asap7772/elix_gen_persona_eval_4shot_infsft-pair_winrate | none | 0.8639 | code | 0.0408 | null | [] | 0 | 4 | normal | |
neilchadli/MNLP_M3_rag_dataset_100k | none | 0.4485 | climate | 0.1977 | null | [] | 0 | 6 | normal | |
aaryan317/indian_food_images | none | 0.3795 | biology | 0.2171 | null | [] | 0 | 10 | normal | |
Flimdejong/pick_and_place_red_cube | none | 0.9259 | code | 0.0693 | 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 | 5 | normal |
modelbiome/ai_ecosystem | none | 0.6705 | code | 0.1204 | null | [] | # AI Ecosystem Project
This project contains datasets and analysis tools for exploring the AI ecosystem, particularly focusing on models available on HuggingFace.
## Setup
### Virtual Environment
A Python virtual environment has been created with all necessary dependencies installed.
#### To activate the virtual e... | 2,317 | 53 | normal |
dinesh-001/vdc-v4 | none | 0.3754 | chemistry | 0.2532 | null | [] | 0 | 3 | normal | |
nc33/common_voice_1.0 | none | 0.4222 | chemistry | 0.1445 | null | [] | 0 | 3 | normal | |
seungheondoh/lp-music-dialog | none | 0.4625 | chemistry | 0.1645 | null | [] | 0 | 5 | normal | |
bachtruoq/python_QA_train | none | 0.2928 | code | 0.1733 | null | [] | 0 | 9 | normal | |
w11wo/KoPI-NLLB_ptu | none | 0.3663 | chemistry | 0.1977 | null | [] | 0 | 5 | normal | |
porestar/crossdomainfoundationmodeladaption-deepfault | none | 0.4897 | chemistry | 0.2139 | null | [] | This dataset is part of the work by Guo Zhixiang et al.https://github.com/ProgrammerZXG/Cross-Domain-Foundation-Model-Adaptation?tab=readme-ov-file
The dataset is originally available on Zenodo https://zenodo.org/records/12798750
And licensed under Creative Commons Attribution 4.0 International
Please cite the follow... | 874 | 56 | normal |
midrees2806/gptneo_dataset | none | 0.4243 | climate | 0.1343 | null | [] | 0 | 6 | normal | |
buschbd7/chapter_31_general_statutes | legal | 0.5795 | none | 0.2377 | null | [] | 0 | 9 | normal | |
Ari-S-123/pii-detection-english-consolidated | cybersecurity | 0.6701 | none | 0.3079 | null | [
"pii",
"ner",
"privacy"
] | # PII Detection Combined Dataset
Combined dataset for PII (Personally Identifiable Information) detection,
merging the ai4privacy English-only subset with synthetically generated and semantically validated with different LLMs
challenging examples targeting NER failure modes. Class labels had to be consolidated to prev... | 2,858 | 143 | normal |
aochongoliverli/limo-math8k-distill-16k-reasoning-traces | math | 0.8804 | none | 0.0955 | null | [] | 0 | 8 | new_discovery | |
AudioLLMs/earnings22_test | none | 0.9471 | code | 0.0393 | null | [] | ```
@article{del2022earnings,
title={Earnings-22: A practical benchmark for accents in the wild},
author={Del Rio, Miguel and Ha, Peter and McNamara, Quinten and Miller, Corey and Chandra, Shipra},
journal={arXiv preprint arXiv:2203.15591},
year={2022}
}
```
```
@article{wang2024audiobench,
title={AudioBench... | 567 | 53 | normal |
ambet/one_column_dict | none | 0.4587 | climate | 0.1732 | null | [] | 0 | 10 | normal | |
syarief-mulyadi/IWSE-InstructionBasedSpeechEdit | none | 0.4398 | code | 0.1568 | null | [] | 0 | 42 | normal | |
z-lab/qwen3-4b-instruct-100k | chemistry | 0.5528 | none | 0.2747 | null | [] | 0 | 5 | normal | |
Rorschach4153/so101_60_new | none | 0.9142 | code | 0.081 | 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",
"... | 4,212 | 29 | normal |
french-open-data/contributions-de-la-consultation-relative-a-la-revision-de-loffre-de-soutien-de-proches-aidantes | cybersecurity | 0.9228 | none | 0.0505 | null | [
"aidants",
"citoyennete-institution",
"concertation",
"consultation",
"handicap",
"participation-citoyenne",
"dataset_for_agent"
] | # Contributions de la consultation relative à la révision de l’offre de soutien de proches aidant·e·s de personnes en situation de handicap.
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Contributions de la consultation relative à la révision de l’offr... | 1,402 | 7 | new_discovery |
MartinElMolon/codeInsight_limited_libraries | code | 0.4758 | none | 0.2731 | null | [] | 0 | 6 | normal | |
bkai-foundation-models/NewsSapo | none | 0.9856 | legal | 0.0037 | null | [] | Vietnamese NewsSapo Dataset
The Vietnamese NewsSapo dataset was constructed to train sentence/passage embeddings. Our dataset is structured in a "title-abstract-contents" format, where each news article is represented by a tuple of (title, abstract, content). The content is the main text body of the article and has be... | 1,078 | 313 | normal |
ClarusC64/legal-causation-expert-opinion-coherence-drift-v0.1 | legal | 0.997 | medical | 0.0016 | legal | [
"law",
"causation",
"expert",
"daubert",
"coherence"
] | What this dataset is
You receive
case causal theory
expert method
data support
alternative causes handling
certainty language
gatekeeping signals
You decide
Does the causation opinion cohere with method and facts
Answer
coherent
or
incoherent
Why this matters
Causation opinion drift predicts
Daubert exclusion
loss of s... | 360 | 20 | normal |
ehejin/check_comment_metrics | none | 0.5551 | code | 0.1245 | null | [] | 0 | 5 | normal | |
shuohsuan/grasp_red_000_009 | none | 0.9179 | code | 0.0777 | 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 | 25 | normal |
ZHIYII/successful_unsuccessful_500_only_LCB | none | 0.6561 | code | 0.1848 | null | [] | 0 | 2 | normal | |
vatolinalex/toxic_conversations_50k | none | 0.3411 | chemistry | 0.2582 | null | [] | 0 | 6 | normal | |
felixZzz/bespoke_17k_overlap-teacher_len32k_response-6-student_response | none | 0.849 | code | 0.0624 | null | [] | 0 | 5 | normal | |
itdainb/calibrate_vn | none | 0.3816 | chemistry | 0.2811 | null | [] | 0 | 49 | normal | |
Yunan90/a | none | 0.2577 | climate | 0.1512 | null | [] | 0 | 4 | normal | |
dgambettavuw/P_wiki_doc10000_real64 | none | 0.4867 | chemistry | 0.1211 | null | [] | 0 | 4 | normal | |
villekuosmanen/agilex_arrange_word_LEARNING | none | 0.9268 | code | 0.0696 | 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 | 103 | normal |
dgambettaphd/D_gen2_run0_llama2-7b_xlsum_doc1000_real64_synt64 | none | 0.6142 | code | 0.2859 | null | [] | 0 | 3 | normal | |
andrewsiah/PersonaPromptPersonalLLM_517 | none | 0.9747 | code | 0.0186 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_517"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 5 | normal |
SEACrowd/asr_stidusc | none | 0.986 | cybersecurity | 0.0049 | null | [
"speech-recognition"
] | This open-source dataset consists of 4.56 hours of transcribed Thai scripted
speech focusing on daily use sentences, where 5,431 utterances contributed by
ten speakers were contained.
## Languages
tha
## Supported Tasks
Speech Recognition
## Dataset Usage
### Using `datasets` library
```
from datasets import load... | 2,891 | 18 | normal |
Joooorrit/twitter_dataset_1718481772 | none | 0.5782 | biology | 0.115 | null | [] | 0 | 4 | normal | |
Q79895753/symptom_text_to_disease_mk2 | none | 0.6192 | biology | 0.1928 | null | [] | # Dataset Card for "symptom_text_to_disease_mk2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 181 | 913 | normal |
Oritsemisan/mental-health-dataset-mistral7b-auto-tune | none | 0.6868 | medical | 0.1708 | null | [] | 0 | 2 | normal | |
selfcorrexp/llama3_non_delete_4_ORM_training | none | 0.5397 | code | 0.1463 | null | [] | 0 | 5 | normal | |
carlfeynman/Bharat_NanoFiQA2018_mni | none | 0.9632 | code | 0.025 | null | [
"text-retrieval"
] | # Bharat-NanoBEIR: Indian Language Information Retrieval Dataset
## Overview
This dataset is part of the Bharat-NanoBEIR collection, which provides information retrieval datasets for Indian languages. It is derived from the NanoBEIR project, which offers smaller versions of BEIR datasets containing 50 queries and up t... | 1,630 | 6 | normal |
CharlieG/filtered_by_model_correctness | none | 0.6239 | chemistry | 0.1267 | null | [] | 0 | 11 | normal | |
sjleslie/bootstrap_prevalence_long_65 | none | 0.4606 | biology | 0.173 | null | [] | 0 | 5 | normal | |
zjhhhh/fixed_criteria_gamevalue_zjhhhh__qwen2.5_3B_Instruct_fixed_criteria_1e6_step_70_final_merged | none | 0.7952 | code | 0.0815 | null | [] | 0 | 6 | normal | |
NinaCalvi/M0train_chunk_1to4eval5to8_incorrect_with_critiquev2 | none | 0.6777 | code | 0.1949 | null | [] | 0 | 5 | normal | |
PushkarA07/app2016-A1-plot_Jun2-1 | none | 0.532 | climate | 0.2054 | null | [] | 0 | 4 | normal | |
DCAgent2/DCAgent_dev_set_v2_DCAgent2_swesmith-stack-over5050_20260302_212024 | none | 0.8464 | code | 0.0671 | null | [] | 0 | 14 | normal | |
vyykaaa/csic2010-soc-clean | none | 0.6492 | code | 0.0865 | null | [] | 0 | 9 | normal |
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