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 |
|---|---|---|---|---|---|---|---|---|---|---|
maryzhang/vessels-motifs-stamps-vectors-preview | none | 0.6122 | chemistry | 0.2147 | null | [] | 0 | 5 | normal | |
kenken6696/ALCUNA_meta_affirmative_3_mix_position_understood_unfamiliar | none | 0.5648 | legal | 0.2854 | null | [] | 0 | 2 | normal | |
zjhhhh/iter2_7b_min_gap_0.17_scores_base_56 | none | 0.852 | code | 0.0459 | null | [] | 0 | 5 | normal | |
bismarck91/qwen-tokenised-combined | none | 0.5003 | code | 0.2213 | null | [] | 0 | 3 | normal | |
jackvial/koch_screwdriver_attach_orange_panel_31_e5 | none | 0.9201 | code | 0.0765 | 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",
"... | 4,229 | 8 | normal |
Duguce/TurtleBench1.5k | math | 0.8378 | code | 0.0891 | null | [
"turtlebench"
] | ## Overview
TurtleBench is a novel evaluation benchmark designed to assess the reasoning capabilities of large language models (LLMs) using yes/no puzzles (commonly known as "Turtle Soup puzzles"). This dataset is constructed based on user guesses collected from our online Turtle Soup Puzzle platform, providing a dynam... | 3,294 | 22 | new_discovery |
Holmeister/vanilla_pgd_ema_detailed_results | none | 0.6857 | climate | 0.1149 | null | [] | 0 | 6 | normal | |
myhis/b04_04stackofplates | none | 0.9247 | code | 0.0621 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # b04_04stackofplates
**This dataset was generated using a [phospho starter pack](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. | 307 | 7 | normal |
french-open-data/donnees-locales-de-consommation-d-electricite-et-de-gaz-naturel-region-a-partir-de-2018 | none | 0.6234 | cybersecurity | 0.2441 | null | [
"consommation-d-energie",
"electricite",
"energie",
"gaz-naturel",
"dataset_for_agent"
] | # Données locales de consommation d'électricité et de gaz naturel - région (à partir de 2018)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Données locales de consommation d'électricité et de gaz naturel - région (à partir de 2018)** qui est disponible... | 959 | 5 | normal |
dongboklee/safety2 | none | 0.5012 | chemistry | 0.1178 | null | [] | 0 | 11 | normal | |
ajagota71/meta-llama_Llama-3.2-1B_1000_samples_original | none | 0.6307 | chemistry | 0.1258 | null | [] | 0 | 28 | normal | |
humjie/eval_diffusion_bimanual-so101-fold-towel | none | 0.9521 | code | 0.0425 | 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",
"... | 3,703 | 15 | normal |
asingh15/arc-barc-processed-direct-max4k-abs-qwen235b-oracle-test-sft-fewshot2 | none | 0.9155 | code | 0.0484 | null | [] | 0 | 4 | normal | |
adminTest0x/test-Dataser | none | 0.9501 | code | 0.0291 | null | [] | # RPG Dataset
Research Plan Generation dataset with three subsets covering ML, Arxiv, and PubMed research papers. Each subset contains research tasks with evaluation rubrics and reference solutions.
## Dataset Statistics
| Subset | Train | Test | Total |
|--------|-------|------|-------|
| ML | 6,872 | 685 | 7,... | 3,316 | 61 | normal |
kmpartner/dataset-cnla | none | 0.5933 | chemistry | 0.1046 | null | [] | 0 | 6 | normal | |
Goekdeniz-Guelmez/Openai-function-invocations-20k-with-greetings | none | 0.7599 | code | 0.2299 | null | [] | # **Function Invocation and Time-Based Greeting Dataset**
This unique dataset is designed for advanced natural language understanding and features function-calling capabilities. Each entry includes a contextual timestamp, a function definition, user inquiries, function calls, function responses, and an assistant's res... | 1,596 | 9 | normal |
GeeSteve/test_new22 | none | 0.7422 | code | 0.1941 | null | [] | This dataset was created using [🤗 LeRobot](https://github.com/huggingface/lerobot). | 83 | 5 | normal |
Darsh12/train_data | none | 0.4616 | climate | 0.2832 | null | [] | 0 | 4 | normal | |
gayanin/babylon-native-v8-noised | none | 0.7072 | code | 0.1201 | null | [] | 0 | 5 | normal | |
kmg42/ultrafeedback_rebel_llama_3_8b_armo_tokenized | none | 0.7195 | code | 0.1023 | null | [] | 0 | 7 | normal | |
felixZzz/bespoke_sub1k_nonoverlap-teacher_len32k_response-9 | none | 0.7463 | code | 0.1209 | null | [] | 0 | 5 | normal | |
soliscute/eval_64_20k_150_opt_2 | none | 0.9204 | code | 0.0732 | 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 | 0 | normal |
HungVu2003/opt-350m_beta_0.5_alpha_1.0_num-company_2_dataset_1_for_gen_8 | none | 0.904 | code | 0.0328 | null | [] | 0 | 4 | normal | |
ar5entum/indic_hi_en_tts | none | 0.5807 | code | 0.0865 | null | [] | 0 | 4 | normal | |
DCAgent2/dev_set_v2_100k_beta2_0_995__Qwen3_8B_20260321_232636 | none | 0.8406 | code | 0.0537 | null | [] | 0 | 8 | normal | |
Yuyeong/rw_amazon-ratings_node2vec_1_public_masked | none | 0.5203 | code | 0.1865 | null | [] | 0 | 5 | normal | |
k1000dai/alohascorpion_pick_plate_put_box | none | 0.9762 | code | 0.0202 | 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",
"... | 5,323 | 14 | normal |
argilla/multi-modal-vlm-visit-bench | none | 0.833 | code | 0.1477 | null | [
"rlfh",
"argilla",
"human-feedback"
] | # Dataset Card for multi-modal-vlm-visit-bench
This dataset has been created with [Argilla](https://github.com/argilla-io/argilla). As shown in the sections below, this dataset can be loaded into your Argilla server as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` lib... | 31,833 | 29 | normal |
jihuny/llama3.2-1b_magpie-dpo_10000_triplet_l2 | none | 0.6286 | chemistry | 0.1322 | null | [] | 0 | 27 | normal | |
ankile/nutsquare-auto-dagger-flat-v1-r26 | none | 0.9611 | code | 0.0268 | 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",
"... | 5,670 | 13 | normal |
Lakesenberg/eval_red_on_blue_groot | none | 0.9186 | code | 0.0721 | 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",
"... | 2,866 | 5 | normal |
DCAgent2/DCAgent2_terminal_bench_2_laion_exp_tas_parser_xml_traces_20260101_224249 | none | 0.5076 | code | 0.3517 | null | [] | 0 | 10 | normal | |
french-datasets/opsci-Astree | none | 0.568 | chemistry | 0.1555 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données huggingface.co/datasets/opsci/Astree. | 125 | 4 | normal |
HanningZhang/scalebio_deepseek_distill_llama3_math_20k_uw2e-5_alpha100_lambda1e-2 | chemistry | 0.602 | none | 0.316 | null | [] | 0 | 4 | normal | |
french-open-data/concentrations-cartographiees-de-la-moyenne-annuelle-de-pm2-5-en-2022-strasbourg | none | 0.4799 | cybersecurity | 0.4649 | null | [
"air",
"concentration-de-polluant",
"donnees-environnementales",
"modelisation",
"pm2-5",
"pollution-atmospherique",
"strasbourg",
"dataset_for_agent"
] | # Concentrations cartographiées de la moyenne annuelle de PM2.5 en 2022 - Strasbourg
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Concentrations cartographiées de la moyenne annuelle de PM2.5 en 2022 - Strasbourg** qui est disponible à l'adresse https... | 1,074 | 8 | normal |
siro1/kernelbook-kimi_k2_thinking-evals-filtered-merged | none | 0.7123 | code | 0.2456 | null | [] | 0 | 19 | normal | |
wang124/L-Mind | none | 0.7631 | cybersecurity | 0.103 | null | [
"eeg",
"fnirs",
"bci",
"image-editing",
"multimodal"
] | # L-Mind: A Multimodal Dataset for Neural-Driven Image Editing
This dataset is part of the **NeurIPS 2025** paper: **"Neural-Driven Image Editing"**, which introduces **LoongX**, a hands-free image editing approach driven by multimodal neurophysiological signals.
## 📄 Overview
**L-Mind** is a large-scale multimodal ... | 2,128 | 4,411 | normal |
oscarfco/R2E-Gym-Poisoned-Pylint-Full-Tests-96 | none | 0.4851 | biology | 0.2313 | null | [] | 0 | 18 | normal | |
ksych/dataset_context_4000_percentile_75_dna_test | none | 0.7486 | chemistry | 0.073 | null | [] | 0 | 8 | normal | |
french-open-data/logements-sociaux-et-bailleurs-par-departement | cybersecurity | 0.9433 | finance | 0.0251 | null | [
"atlas",
"bailleurs-sociaux",
"bdt",
"departement",
"logement",
"logements-et-logements-sociaux",
"logements-sociaux",
"dataset_for_agent"
] | # Logements sociaux et bailleurs par département
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Logements sociaux et bailleurs par département** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5fa9901bdf2bbb37b61963e6
## Description
L... | 1,511 | 10 | new_discovery |
jane-swingler/pie_chart_2_misleading_attributes | none | 0.6112 | climate | 0.1006 | null | [] | 0 | 4 | normal | |
nicoledy/deepscaler-4k | code | 0.6971 | none | 0.169 | math | [
"math",
"reasoning",
"sampled"
] | # nicoledy/deepscaler-4k
This dataset is a **random sample** of **4096** rows from `agentica-org/DeepScaleR-Preview-Dataset` (split: `train`), created with:
- Sampling: `dataset.shuffle(seed=42).select(range(4096))`
- Date (UTC): 2026-01-17
## Columns
The sampled dataset keeps the original columns from the source da... | 674 | 12 | tag_disagree |
BAAI-DataCube/b1_0_tkx_1rgb_pick_shelf_insert_machine_press_switch_place_plate | none | 0.8732 | code | 0.1159 | null | [] | # benchmark1_0_release_tienkung_xsens_1rgb_pick_shelf_insert_machine_press_switch_place_plate
This dataset converts the Robomain format uniformly into LeRobot V3.0.
## Dataset Statistics
本体: tienkung_xsens
末端执行器: 夹爪
任务平台显示版: 拿起架子插入机器按压开关放置盘子
total_episodes: 58
total_tasks: 1
size: 610.6M
## Dataset Structure
```
├──... | 999 | 7 | normal |
rishitdagli/chess | none | 0.4032 | chemistry | 0.1072 | null | [] | 0 | 16 | normal | |
reasoning-proj/exp_rob_dfiltered_science_DeepSeek-R1-Distill-Qwen-1_5B_mneutral_add_random_text_t10 | none | 0.7324 | math | 0.0922 | null | [] | 0 | 4 | normal | |
Korea-MES/open_question_type | none | 0.4463 | climate | 0.1919 | null | [] | 0 | 5 | normal | |
rock-z/it_copying_gen_OLMo-7B-Instrtuct_arxiv | chemistry | 0.6853 | none | 0.174 | null | [] | 0 | 4 | normal | |
wuqiuche/test01 | none | 0.5444 | chemistry | 0.1065 | null | [
"croissant"
] | 0 | 5 | normal | |
yiyic/CulturaX_pa_train | none | 0.4572 | climate | 0.1713 | null | [] | 0 | 5 | normal | |
tensorlabco/fineweb-edu-sample-10BT | none | 0.6056 | chemistry | 0.1004 | null | [] | 0 | 43 | normal | |
varcoder/testing_3classes | none | 0.2825 | code | 0.2765 | null | [] | 0 | 25 | normal | |
k2-fsa/LibriSpeech | none | 0.9827 | code | 0.0082 | null | [] | LibriSpeech is a corpus of approximately 1000 hours of 16kHz read English speech, prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read audiobooks from the LibriVox project, and has been carefully segmented and aligned.
Acoustic models, trained on this data set, are available a... | 744 | 558 | normal |
H2Ozone/stack_coaster_2 | none | 0.8681 | code | 0.1257 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=H2Ozone/stack_coaster_2">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.s... | 3,974 | 0 | normal |
Abdallah-Thuieb/social-spam | none | 0.7345 | cybersecurity | 0.2266 | null | [] | # social-spam
Arabic/English social media text dataset for spam detection.
## Columns
- Date: post/comment date (if available)
- Time: time (if available)
- URL: original URL (if available)
- Content: comment text (if available)
- Author: author name (if available)
- Tweet_Text: tweet text (if available)
- Spam_Ham: ... | 508 | 5 | normal |
PolarisEvals/synqa_hudson_300_samples_relevance_gpt-4-0613_outputs_json_True_debug | none | 0.5825 | code | 0.2272 | null | [] | 0 | 7 | normal | |
mlfoundations-dev/e1_math_all_qwq_together_1k | math | 0.3792 | chemistry | 0.3344 | null | [] | 0 | 7 | boundary | |
felixZzz/bespoke_17k_student_sft_multiZ_temp001_mix | none | 0.5191 | chemistry | 0.2395 | null | [] | 0 | 25 | normal | |
carlfeynman/Bharat_NanoTouche2020_awa | none | 0.9633 | code | 0.0269 | 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... | 1,620 | 5 | normal |
TozluLider6393/furkan2 | none | 0.3222 | biology | 0.1394 | null | [] | 0 | 8 | normal | |
reyrey-222/record-test | none | 0.9452 | code | 0.0487 | 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",
"... | 2,305 | 5 | normal |
abhinav302019/olympiad_data_297 | none | 0.3673 | biology | 0.3362 | null | [] | 0 | 4 | normal | |
CL-ETM/outputevents | none | 0.4201 | chemistry | 0.2347 | null | [] | 0 | 10 | normal | |
MLDataScientist/Uzbek_news_dataset | none | 0.9527 | code | 0.035 | null | [] | This is an Uzbek News Dataset with 512,750 articles (120 million words and in the Latin script) scraped from the web in 2023.
I combined and uploaded the dataset in this HF repo so that the community can fine-tune LLMs based on the Uzbek language.
---
```
@proceedings{kuriyozov_elmurod_2023_7677431,
title ... | 1,295 | 52 | normal |
liangzid/robench2024b_all_seteessSCP-s-50 | none | 0.4444 | code | 0.2353 | null | [] | 0 | 6 | normal | |
SkylerChuang/large_multiclass_datasets | none | 0.4879 | climate | 0.1444 | null | [] | 0 | 5 | normal | |
matzek92/so101-pick-selected-textile-3cam-sam | none | 0.9065 | code | 0.087 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=matzek92/so101-pick-selected-textile-3cam-sam">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visua... | 3,567 | 14 | normal |
abraranwar/usc_koch_failure_separate_the_red_and_orange_and_orange_cups | none | 0.9604 | code | 0.0359 | 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",
"... | 4,125 | 6 | normal |
mlnomad/imnet1k_disk_brake_disc_brake | none | 0.7533 | code | 0.114 | null | [] | 0 | 6 | normal | |
marvin-brt/water_glassbottle_aesthetics_rated | none | 0.9103 | medical | 0.0412 | null | [] | # Dataset Card for Dataset Name
This dataset holds 121 images of glass bottles for drinking water. The aesthetics were rated by five participants from Germany across different demographics. | 190 | 5 | normal |
tasksource/dolci-instruct | none | 0.3752 | code | 0.2418 | null | [] | 0 | 71 | normal | |
electricsheepafrica/Africa-anxiety-dataset | medical | 0.966 | none | 0.028 | medical | [
"mental-health",
"africa",
"medical",
"public-health"
] | # Dataset Card for Africa Anxiety Dataset
## Dataset Description
- **Homepage:** https://huggingface.co/electricsheepafrica
- **Repository:** https://huggingface.co/electricsheepafrica/Africa-anxiety-dataset
- **Point of Contact:** Electric Sheep Africa
- **License:** CC-BY-4.0
### Dataset Summary
The **Africa Anxi... | 6,009 | 29 | normal |
Shaer-AI/ashaar-preprocessed-postworkers-worker2 | none | 0.6291 | code | 0.1785 | null | [] | 0 | 5 | normal | |
juliadollis/stf_regex_ner_2_fuzzyover_90 | none | 0.5114 | code | 0.2641 | null | [] | 0 | 4 | normal | |
juliadollis/stf_regex_ner_pierre_70 | none | 0.55 | code | 0.1565 | null | [] | 0 | 4 | normal | |
alexandreteles/Custom_Airoboros | none | 0.3768 | biology | 0.2678 | null | [] | 0 | 7 | normal | |
richmondsin/hellaswag_ca_results | none | 0.8905 | code | 0.0948 | null | [] | # Dataset Card for Evaluation run of google/gemma-2-2b
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b)
The dataset is composed of 0 configuration(s), each one corresponding to one of the eva... | 5,889 | 3 | normal |
alihmaou/bdnb_2023-11.a_batiment_groupe_adresse_89 | none | 0.7472 | chemistry | 0.0785 | null | [] | 0 | 3 | normal | |
mjoisher/facesyntheticspixelatedcaptioned-2.0 | none | 0.9819 | code | 0.0106 | null | [] | # Dataset Card for "facesyntheticspixelatedcaptioned-2.0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 190 | 5 | normal |
zjhhhh/generation_for_iter2_multi | none | 0.5226 | chemistry | 0.1805 | null | [] | 0 | 5 | normal | |
ytzi/the-stack-dedup-gpt2 | none | 0.5306 | code | 0.2476 | null | [] | 0 | 44 | normal | |
rayliuca/assist-llm-function-calling-messages | code | 0.8652 | none | 0.1241 | null | [
"home-assistant",
"function-calling",
"synthethic"
] | # Function Calling dataset for Assist LLM for Home Assistant
This dataset is generated by using other conversation agent pipelines as teachers
from the [deivce-actions-v2](https://github.com/allenporter/home-assistant-datasets/tree/main/datasets/device-actions-v2) dataset.
This dataset is used to support fine tuning ... | 544 | 5 | new_discovery |
ozidan/jigsaw_binary_subset_chat | none | 0.584 | code | 0.1623 | null | [] | 0 | 3 | normal | |
llm-aes/LLMEval2_Evaluated | none | 0.2753 | chemistry | 0.2206 | null | [] | 0 | 6 | normal | |
MikeGreen2710/hn_jan_full_sanitized_ner_standardized_address_matched_str_al_clas_dedup_mono_index_0 | none | 0.7655 | legal | 0.0798 | null | [] | 0 | 5 | normal | |
jasveer4234/nq | none | 0.9353 | biology | 0.0365 | null | [] | ## Data Description
- **Homepage:** https://github.com/KID-22/Cocktail
- **Repository:** https://github.com/KID-22/Cocktail
- **Paper:** [Needs More Information]
## Dataset Summary
All the 16 benchmarked datasets in Cocktail are listed in the following table.
| Dataset | Raw Website | Cocktail Website |... | 6,659 | 11 | normal |
alvinqz/hrm-csg-small | none | 0.4557 | chemistry | 0.2881 | null | [] | 0 | 15 | normal | |
theatticusproject/cuad-qa | legal | 0.9964 | finance | 0.002 | null | [] | # Dataset Card for CUAD
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [D... | 14,318 | 1,224 | new_discovery |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent2_neulab-synatra-sandboxes-traces-terminus-2_hu14c8d87f | none | 0.7787 | code | 0.091 | null | [] | 0 | 9 | normal | |
FrancescoArno94/details_FrancescoArno94__SmolLM3-3B-math_private | none | 0.9515 | code | 0.0353 | null | [] | # Dataset Card for Evaluation run of FrancescoArno94/SmolLM3-3B-math
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [FrancescoArno94/SmolLM3-3B-math](https://huggingface.co/FrancescoArno94/SmolLM3-3B-math).
The dataset is composed of 1 configuration,... | 5,614 | 7 | normal |
JingweiNi/train_prm800k_finished_qwen3_annotate_phi-4_prm | none | 0.6811 | chemistry | 0.1567 | null | [] | 0 | 6 | normal | |
jinaai/CharXiv-en_deprecated | none | 0.481 | chemistry | 0.3833 | null | [] | # CharXiv Dataset
This dataset is derived from the [CharXiv dataset](https://huggingface.co/datasets/princeton-nlp/CharXiv), reformatting the test split with modified field names, so that it can be used in the ViDoRe benchmark.
The `text_description` column contains OCR text extracted from the images using EasyOCR.
Th... | 1,149 | 4 | normal |
qownscks/jiho_3go | none | 0.8996 | code | 0.0956 | 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",
"... | 3,574 | 12 | normal |
pacozaa/seed-free-synthetic-instruct-thai-v1-chatml | none | 0.9873 | code | 0.0081 | null | [] | Direct Folk From: https://huggingface.co/datasets/parinzee/seed-free-synthetic-instruct-thai-v1
I added "text" column here for reformating to chatml format | 156 | 11 | normal |
IdaFLab/ECG-Wavelet-Scalegram-1 | chemistry | 0.3204 | none | 0.2921 | null | [] | 0 | 4 | boundary | |
jjldo21/IndustrialLateralLoads | none | 0.7369 | cybersecurity | 0.14 | null | [
"industry"
] | The **IndustrialLateralLoads** dataset is designed for object detection and instance segmentation tasks in industrial environments. It contains images of palletized loads with their corresponding annotations. The dataset is available in two formats:
- **Hugging Face dataset (Parquet):** Ready-to-use format with images,... | 3,995 | 2,580 | normal |
HF-SSSVVVTTT/wcep_predict | none | 0.2808 | biology | 0.2362 | null | [] | 0 | 3 | normal | |
french-open-data/contenu-textuel-de-la-foire-aux-questions-info-entreprises-covid19 | none | 0.771 | cybersecurity | 0.0962 | null | [
"confinement",
"covid19",
"deconfinement",
"documentation",
"economie-entreprise",
"entreprise",
"json",
"dataset_for_agent"
] | # Contenu textuel de la Foire Aux Questions « info entreprises COVID19 »
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Contenu textuel de la Foire Aux Questions « info entreprises COVID19 »** qui est disponible à l'adresse https://www.data.gouv.fr/data... | 1,335 | 8 | normal |
Hanumansai/telecom_churn_forecast_2000_rows | none | 0.9729 | biology | 0.0074 | null | [] | # Dataset Card for "telecom_churn_forecast_2000_rows"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 186 | 4 | normal |
mlfoundations-dev/316_globalbatchsize64_lr2e5_epochs9_eval_636d | none | 0.9575 | code | 0.0387 | null | [] | # mlfoundations-dev/316_globalbatchsize64_lr2e5_epochs9_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|--... | 3,014 | 5 | normal |
mammoth666/cars-make-model-year-chunk-296 | none | 0.9306 | code | 0.0234 | null | [] | 0 | 4 | normal |
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