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 |
|---|---|---|---|---|---|---|---|---|---|---|
Sharathhebbar24/tool-calls-multiturn | none | 0.4365 | legal | 0.1699 | null | [] | 0 | 33 | normal | |
mtr329/trace_cliprt-CliprtAdapter-LIBERO_10 | code | 0.7387 | cybersecurity | 0.0498 | null | [] | 0 | 5 | normal | |
regagent-ai/Article-Risk-Factor-Classification-Dataset | none | 0.3165 | chemistry | 0.2189 | null | [] | 0 | 21 | normal | |
sjleslie/random_cv_7_bins_long_85 | none | 0.6336 | chemistry | 0.128 | null | [] | 0 | 5 | normal | |
chocolat-nya/record_greentag_teho_20251224 | none | 0.9194 | code | 0.0767 | 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",
"... | 3,582 | 20 | normal |
violetxi/omni-math-difficulty-4_6 | math | 0.5936 | none | 0.3126 | null | [] | 0 | 10 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_3d269b78-7289-44ee-b153-975859917339 | none | 0.59 | code | 0.1745 | null | [] | 0 | 3 | normal | |
Vduc01/robot-vision-sample-dataset26 | none | 0.8603 | code | 0.0576 | null | [] | # Robot Vision Sample Dataset
This dataset is created for experimental robotics vision and perception training purposes. | 121 | 6 | normal |
toksuitebackup/aya-expanse-8b-toksuite-detokenized | none | 0.7931 | code | 0.1838 | null | [] | Training data of the model detokenized in the exact order seen by the model.
The training data is partitioned into **8 chunks** (`chunk-0` through `chunk-7`), based on the GPU rank that generated the data. Each chunk contains detokenized text files in JSON Lines format (`.jsonl`). | 282 | 164 | normal |
jlpang888/ultrafeedback_sorted_llama_learning_order_reverse | none | 0.6838 | chemistry | 0.136 | null | [] | 0 | 5 | normal | |
french-open-data/pnrcmo-diversite-plantes-vasculaires-indigenes-periode-moderne-par-maille-1-km2 | biology | 0.9826 | cybersecurity | 0.0096 | null | [
"diversite",
"flore",
"maille-1-km2",
"parc-naturel-regional-des-caps-et-marais-dopale-pnrcmo",
"periode-moderne-depuis-2000",
"plantes-vasculaires-indigenes",
"dataset_for_agent"
] | # PNRCMO - Diversité - Plantes vasculaires indigènes (Période moderne - Par maille 1 km²)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **PNRCMO - Diversité - Plantes vasculaires indigènes (Période moderne - Par maille 1 km²)** qui est disponible à l'adr... | 1,761 | 9 | new_discovery |
rebnej/coco-git-large-5best | code | 0.3999 | none | 0.2389 | null | [] | 0 | 4 | normal | |
mamed0v/orca-math-word-problems-200k-turkmen | math | 0.986 | none | 0.012 | null | [] | # Turkmen Orca Math Word Problems 200k Dataset
## Overview
This dataset is a Turkmen translation of the original microsoft/orca-math-word-problems-200k dataset. The Orca Math Word Problems dataset contains 200,000 high-quality math word problems and their solutions. This Turkmen version aims to extend the accessibili... | 2,142 | 2 | new_discovery |
mammoth666/cars-make-model-year-chunk-152 | none | 0.9197 | code | 0.03 | null | [] | 0 | 4 | normal | |
GD-ML/SCASRec | none | 0.8973 | biology | 0.0525 | null | [
"recommendation",
"route",
"generative list recommendation"
] | ## SCASRec: A Self-Correcting and Auto-Stopping Model for Generative Route List Recommendation
This is the dataset for our paper.<br>
The following table contains the feature dimensions and key features of our dataset.
| Feature Type | Interpretation | Shape | Some Key Features
| :---- |... | 963 | 7,521 | normal |
felixZzz/bespoke_sub1k_nonoverlap-pseudoteacher_len32k_response-2 | none | 0.686 | chemistry | 0.1194 | null | [] | 0 | 4 | normal | |
bersov75/x_dataset_236 | none | 0.853 | cybersecurity | 0.0883 | null | [] | # Bittensor Subnet 13 X (Twitter) Dataset
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/resolve/main/bittensor.png" alt="Data-universe: The finest collection of social media data the web has to offer">
</center>
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/re... | 16,364 | 9 | normal |
LeeAeron/flux_controlnet | chemistry | 0.5089 | none | 0.3333 | null | [] | FLux ControlNet for Forge SD (works with 8Gb VRAM and up)
Place models into webui\models\Stable-Diffusion\ folder.
Unpack text_encoders_FP8.zip contents into webui\models\diffusers\ folder. | 190 | 10 | normal |
Tabib7777/Banking_bot_dataset2 | finance | 0.3666 | none | 0.2458 | null | [] | 0 | 8 | boundary | |
fuyyy74/EmoSet2steps2k | none | 0.4434 | math | 0.1198 | null | [] | 0 | 11 | normal | |
dgambettaphd/D_qw34_run0_gen8_WXS_doc1000_synt64_lr1e-04_acm_SYNLAST | none | 0.6744 | chemistry | 0.0919 | null | [] | 0 | 14 | normal | |
deep-div/HealthTalks-100k | none | 0.74 | medical | 0.0893 | null | [
"medical",
"biology"
] | 0 | 27 | normal | |
Sina-Alinejad-2002/train_chexpert_7500 | none | 0.6293 | code | 0.109 | null | [] | 0 | 3 | normal | |
neoneye/simon-arc-solve-erosion-v5 | none | 0.9066 | code | 0.0437 | null | [] | # Version 1
ARC-AGI Tasks where the job is to erode images by removing the outermost pixels from the colored areas.
example count: 2-4.
test count: 1-2.
image size: 3-6.
# Version 2
Earlier predictions added to some of the rows.
# Version 3
Added fields: `arc_task`, `test_index`, `earlier_output`.
# Version 4
... | 428 | 7 | normal |
zhaoraning/eval_Orbbec111 | none | 0.9312 | code | 0.0648 | 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",
"... | 2,949 | 7 | normal |
tonyhtchan/pricer-data | none | 0.2843 | finance | 0.2374 | null | [] | 0 | 3 | normal | |
djangodevloper/medical_dataset | none | 0.4621 | medical | 0.2244 | null | [] | 0 | 907 | normal | |
test-gen/code_mbpp_Qwen2.5-Coder-0.5B-Instruct_temp0.1_num8_tests_mbpp_qwen-0.5b-random_t0.0_n1 | code | 0.8395 | none | 0.1466 | null | [] | 0 | 5 | new_discovery | |
BarryFutureman/vox2_3D_distill_shard_55 | none | 0.3144 | climate | 0.2206 | null | [] | 0 | 25 | normal | |
humanhow/QA-Dataset-mini | none | 0.9604 | code | 0.029 | null | [] | # Dataset Card for "QA-Dataset-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 169 | 7 | normal |
nouhad/multiplication_6_by_6_100_test | none | 0.7212 | math | 0.2108 | null | [] | # Multiplication Dataset - multiplication_6_by_6_100_test
This dataset contains multiplication problems and their solutions.
## Dataset Format
- `messages`: List of message dictionaries with user questions and assistant answers
- `ground_truth`: The correct solution for each problem
- `dataset`: Always "multiplicati... | 344 | 4 | normal |
Katherinetian/weather_data_NC | climate | 0.9992 | none | 0.0002 | climate | [
"climate",
"weather",
"predictive models"
] | # Dataset Card for NC Weather Analysis Dataset
<!-- Provide a quick summary of the dataset. -->
This dataset card provides a detailed overview of a weather dataset focused on North Carolina, sourced from OpenWeatherMap.org. The dataset compiles various measurements intended for climate research, weather forecasting, ... | 9,368 | 24 | normal |
NickyNicky/aya_dataset_multilingual_inputs_targets_ext4 | none | 0.7762 | code | 0.0822 | null | [] | 0 | 3 | normal | |
Rajeeb321/nepali_translation | none | 0.4529 | climate | 0.1122 | null | [] | 0 | 4 | normal | |
CLARA-MeD/claramed5000 | medical | 0.9007 | none | 0.0948 | null | [] | # Dataset Card for CLARA-MeD-5000
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-str... | 6,137 | 6 | new_discovery |
mathsx0/jenny-tts-tags-6h | none | 0.5988 | math | 0.1386 | null | [] | 0 | 4 | normal | |
whoisjones/fiNERweb-x-multi | none | 0.5386 | code | 0.2265 | null | [] | 0 | 357 | normal | |
iberu/RunBugRun | code | 0.3645 | none | 0.2167 | null | [] | 0 | 4 | boundary | |
yoonholee/MATH-hard-o3-mini-solutions | math | 0.3562 | chemistry | 0.2661 | null | [] | 0 | 4 | boundary | |
TheFactoryX/edition_2322_open-thoughts-OpenThoughts-114k-readymade | none | 0.989 | code | 0.0095 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2322_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 |
vm2825/squad-hardneg-format | none | 0.7268 | code | 0.0744 | null | [] | 0 | 1,613 | normal | |
johnlockejrr/CATMuS | none | 0.8461 | biology | 0.0779 | null | [] | # Dataset Card for "CATMus"
```
@unpublished{clerice:hal-04453952,
TITLE = {{CATMuS Medieval: A multilingual large-scale cross-century dataset in Latin script for handwritten text recognition and beyond}},
AUTHOR = {Cl{\'e}rice, Thibault and Pinche, Ariane and Vlachou-Efstathiou, Malamatenia and Chagu{\'e}, Alix a... | 1,151 | 8 | normal |
Sckathach/ssr-steering-llama3.2-1b-filtered | none | 0.4647 | code | 0.2523 | null | [] | Dataset for the paper Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models (https://arxiv.org/abs/2503.06269). | 151 | 5 | normal |
Alan123/qa_dataset_modification_qed_bin_full_json | none | 0.5938 | code | 0.1602 | null | [] | 0 | 4 | normal | |
DCAgent2/DCAgent2_aider_polyglot_Qwen_Qwen3-4B_20260120_084507 | biology | 0.4667 | none | 0.4296 | null | [] | 0 | 16 | boundary | |
careons/dutch-healthcare-pii-ner | medical | 0.9116 | none | 0.0828 | medical | [
"dutch",
"NER",
"PII",
"anonymization",
"healthcare",
"privacy"
] | # Dutch Healthcare PII NER Dataset
A synthetic Dutch-language Named Entity Recognition (NER) dataset focused on **Personally Identifiable Information (PII)** detection and anonymization, with a strong emphasis on healthcare contexts in the Netherlands.
> **This dataset is fully synthetic.** All texts and entities wer... | 5,388 | 59 | normal |
vinaysaib/room-dimension-detection-data | none | 0.6206 | climate | 0.1185 | null | [] | 0 | 4 | normal | |
MananSuri27/swebenchverified_multiagent | none | 0.4256 | code | 0.2176 | null | [] | 0 | 4 | normal | |
ThangNV9132/Mistral-DIA2018 | none | 0.4335 | biology | 0.1952 | null | [] | 0 | 3 | normal | |
hanaelbatouty/PersonalityArchetypeMessage | none | 0.8656 | code | 0.0536 | null | [] | # Personality Archetype Message Dataset
This dataset contains 225 samples designed to train models that generate motivational messages tailored to user attributes.
Each entry includes:
- age: an integer between 18–65
- archetype: one of 15 distinct personality types
- profession: a wide range of jobs across various s... | 580 | 6 | normal |
ahmetfirat/graspset | none | 0.9148 | code | 0.0805 | null | [
"mujoco",
"ur5",
"rlds"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.0",
"... | 2,200 | 10 | normal |
DCAgent2/DCAgent2_bfcl-parity_DCAgent2_nl2bash-stack-bugsseq_20260227_032037 | none | 0.4741 | chemistry | 0.2433 | null | [] | 0 | 15 | normal | |
lerobot-data-collection/level1_single_rac4_2026-01-16 | none | 0.9313 | code | 0.0641 | 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",
"... | 4,998 | 839 | normal |
zjhhhh/Qwen7b_multi_perprompt_iter1_2000 | none | 0.6914 | chemistry | 0.1108 | null | [] | 0 | 5 | normal | |
jiaruz2/MultiTableQA_WTQ | none | 0.7992 | code | 0.1849 | null | [] | 📄 [Paper](https://arxiv.org/abs/2504.01346) | 👨🏻💻 [Code](https://github.com/jiaruzouu/T-RAG)
## 🔍 Introduction
Retrieval-Augmented Generation (RAG) has become a key paradigm to enhance Large Language Models (LLMs) with external knowledge. While most RAG systems focus on **text corpora**, real-world information ... | 1,893 | 59 | normal |
yue1006/so101_cube_tape_task | none | 0.932 | code | 0.065 | 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"... | 4,444 | 9 | normal |
Yesianrohn/TextRIRO_ScenePair | none | 0.3579 | climate | 0.1507 | null | [] | 0 | 15 | normal | |
Emotion-Aware-AI-Assistant/qwen3-vl_2b-instruct_hierarchical_results | none | 0.8907 | code | 0.0573 | null | [] | 0 | 6 | normal | |
test-gen/mbpp_Qwen2.5-Coder-14B-Instruct_t1.0_n8_generated_code | code | 0.9472 | none | 0.0328 | null | [] | 0 | 5 | new_discovery | |
Experimental-Orange/HumanAgencyBench_Evaluation_Results | none | 0.9238 | code | 0.064 | null | [
"human-agency",
"ai-safety",
"alignment"
] | # HumanAgencyBench evaluation results
Paper: [HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants](https://huggingface.co/papers/2509.08494)
Code: https://github.com/BenSturgeon/HumanAgencyBench/
## Dataset Description
This dataset contains comprehensive evaluation results from testing 20 ... | 6,356 | 6 | normal |
HungVu2003/opt-350m_beta_0.0_alpha_0.2_num-company_2_dataset_0_for_gen_15_v2 | none | 0.8896 | biology | 0.0363 | null | [] | 0 | 4 | normal | |
kylelovesllms/alpaca-cleaned-ru-upper | none | 0.6227 | biology | 0.1106 | null | [] | 0 | 5 | normal | |
Morton-Li/FineWeb-Edu-Quality4plus | none | 0.9411 | code | 0.0448 | null | [] | # 📘 **FineWeb-Edu-Quality4plus**
## **Overview**
FineWeb-Edu-Quality4plus is a **high-quality filtered subset** of the original
**[HuggingFaceFW/fineweb-edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu)** dataset (ODC-By License).
This subset retains only samples with:
* **quality_score ≥ 4**
The go... | 2,438 | 49 | normal |
TheLumos/MedPI-Dataset | medical | 0.9426 | none | 0.0518 | medical | [
"medical",
"healthcare",
"conversation"
] | # MedPI-dataset
A dataset for evaluating medical AI models in simulated multi-turn, patient-facing conversations, aligned with the MedPI Eval framework.
## Dataset Description
This dataset includes **7,097 medical conversations** between AI models (acting as clinicians) and synthetic patients across various specialt... | 4,928 | 24 | normal |
AlicanKiraz0/Turkish-SFT-Dataset-v1.0 | cybersecurity | 0.3496 | legal | 0.2513 | null | [
"turkish"
] | # Turkish-SFT-Dataset-v1.01
**Repo:** `AlicanKiraz0/Turkish-SFT-Dataset-v1.0`
**Sürüm:** v1.01
**Lisans:** MIT
**Biçim:** `jsonl` (kolonlar: `system`, `user`, `assistant`)
**Boyut:** ~5500 satır ve satır başına 3.000–4.500 token/satır (≈ 20M+ token)
**Dil:** Türkçe (`tr`)
**Görevler:** talimat izleme, SFT,... | 5,776 | 118 | boundary |
chris-123/AGHI-QA | none | 0.946 | code | 0.027 | null | [] | The dataset of "AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images" | 95 | 18 | normal |
swiss-ai/math_qa | math | 0.3407 | none | 0.2669 | null | [] | 0 | 260 | boundary | |
AlienKevin/open_ziku | none | 0.7393 | code | 0.1318 | null | [] | 0 | 10 | normal | |
DrainpipeAI/RedSpiceV13 | none | 0.9095 | code | 0.0839 | 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",
"... | 2,871 | 4 | normal |
ypwang61/One-Shot-RLVR-Datasets | code | 0.507 | none | 0.3421 | null | [] | This repository contains the dataset presented in [Reinforcement Learning for Reasoning in Large Language Models with One Training Example](https://huggingface.co/papers/2504.20571).
Code: https://github.com/ypwang61/One-Shot-RLVR | 231 | 35 | normal |
ssktora/trec_ct_2021-train-bm25-pyserini-20-train | none | 0.8567 | code | 0.0641 | null | [] | 0 | 4 | normal | |
Johnnyboystar/Images | finance | 0.4383 | none | 0.2638 | chemistry | [
"chemistry",
"Science",
"Physics",
"Philosophy"
] | # 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 | 4 | tag_disagree |
TigreGotico/building_106_kitchen_3secs | none | 0.7329 | climate | 0.2066 | null | [] | Mirror of https://www.csc.kth.se/~jastork/pages/datasets.html
all sounds split in 3 seconds chunks
meant for usage as background noise or environmental event detection | 169 | 88 | normal |
mlfoundations-dev/stackexchange_quantumcomputing | chemistry | 0.5251 | none | 0.3565 | null | [] | 0 | 12 | normal | |
marcov/tab_fact_tab_fact_promptsource | none | 0.8179 | code | 0.0356 | null | [] | 0 | 5 | normal | |
HorizonNexusAI/Alpaca-gpt4 | none | 0.6209 | code | 0.0845 | null | [] | 0 | 4 | normal | |
cchoi1/pylint_2 | none | 0.4434 | chemistry | 0.1645 | null | [] | 0 | 4 | normal | |
mohammadhabp/psychological_issues | none | 0.4115 | chemistry | 0.2163 | null | [] | 0 | 7 | normal | |
french-datasets/dataset-rewriter-SmallTalkDialogues-10-translated-to-proper-French-466b | none | 0.9884 | cybersecurity | 0.0046 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [dataset-rewriter/SmallTalkDialogues-10-translated-to-proper-French-466b](https://huggingface.co/datasets/dataset-rewriter/SmallTalkDialogues-10-translated-to-proper-French-466b). | 267 | 4 | normal |
dare43321/zuzu-the-cat-tts-german | none | 0.848 | code | 0.0732 | null | [] | 0 | 10 | normal | |
ahad-j/chess-a6-to-d6 | none | 0.9247 | code | 0.0712 | null | [
"so101",
"chess"
] | 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",
"... | 2,955 | 12 | normal |
nimashoghi/matbench_dielectric_fold4 | chemistry | 0.5658 | none | 0.2579 | null | [] | 0 | 4 | normal | |
liorbenhorin-nv/so101-sim-rock-a-stack-deg-narrow-dist | none | 0.9301 | code | 0.0658 | null | [
"robotics",
"teleop",
"rock-a-stack"
] | 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",
"... | 3,630 | 68 | normal |
mateoguaman/vlmn_iphone100_tartandrive100_scand50_coda25_spot100_sub5 | none | 0.9869 | cybersecurity | 0.0076 | null | [
"vlm-navigation"
] | # vlmn_iphone100_tartandrive100_scand50_coda25_spot100_sub5
## Description
VLN Navigation dataset with 100% of iphone data, 100% of tartandrive data, 50% of scand data, 25% of coda data, and 100% of in-domain spot data. Whenever daatsets aren't 100%, they are ranked by curvature and output of length 5.
## Processing... | 1,009 | 6 | normal |
JibuMaroyi/frontier-model-blindspots | none | 0.7042 | code | 0.1738 | null | [
"blind-spots",
"base-model",
"multilingual",
"qwen3"
] | # Application to the Fatimata Institute for Global Research, 2026-2027
## Technical Challenge: Blind Spots of Frontier Models
**Benjamin Maroyi** | benjaminjibu@gmail.com
---
## Overview
This dataset documents **10 blind spots** of the base language model
[Qwen/Qwen3-0.6B-Base](https://huggingface.co/Qwen/Qwen3-0.6B... | 15,020 | 23 | normal |
ChartMimic/ChartMimic | code | 0.7299 | none | 0.2483 | null | [
"Multimodal",
"Code Generation",
"Large Language Models"
] | <div align="center">
<img src="./assets/chartmimic.png" style="width: 20%;height: 10%">
<h1> ChartMimic: Evaluating LMM’s Cross-Modal Reasoning Capability via Chart-to-Code Generation </h1>
</div>
This is the official dataset repository of [ChartMimic](https://github.com/ChartMimic/ChartMimic).
> Kind Note: ChartMimic... | 6,244 | 286 | normal |
lynu369/ViRFT_CLS_fgvc_aircraft_8_shot_v2 | none | 0.8179 | code | 0.0588 | null | [] | 0 | 3 | normal | |
linkonx/LinkOnXModeler-Eng | code | 0.557 | none | 0.268 | null | [] | 0 | 5 | normal | |
bicycleman15/lcb_gpt_st4k_0 | none | 0.8152 | code | 0.0613 | null | [] | 0 | 53 | normal | |
TheFactoryX/edition_1797_lavita-medical-qa-shared-task-v1-toy-readymade | medical | 0.6371 | none | 0.3432 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1797_lavita-medical-qa-shared-task-v1-toy-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[lavita/medical-qa-shared-task-v1-toy](https://huggingface.co/datasets/lavita/medical-qa-shared-task-v1-toy)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking every... | 990 | 7 | normal |
zjhhhh/iter2_7b_fullcheck_perprompt_scores_adversary_4 | none | 0.7595 | code | 0.1156 | null | [] | 0 | 5 | normal | |
gab1k/mmm_project_tone_intermdata | none | 0.5187 | chemistry | 0.1987 | null | [] | 0 | 6 | normal | |
kunato/ToolMind-Web-QA | none | 0.8258 | code | 0.1488 | null | [
"deep search"
] | ## Dataset Summary
* ToolMind-Web-QA is a validated public dataset designed for research on **search-augmented and long-horizon search agents**.
The dataset contains 6k complex question-answer (QA) pairs synthesized from Wikipedia entity-relation knowledge graphs and also includes trajectories, averaged over 100 turns... | 4,903 | 77 | normal |
ChavyvAkvar/BRUMO25-baseline-inspection | none | 0.3391 | climate | 0.1772 | null | [] | 0 | 20 | normal | |
Gaslighttheghost/Magravmining | none | 0.5981 | cybersecurity | 0.2023 | null | [] | I'll create a comprehensive code solution that simulates, monitors, and controls the Magrav-Bitcoin mining hybrid system. This will include power management, safety monitoring, and data logging capabilities.
import React, { useState, useEffect, useRef } from 'react';
import { LineChart, Line, XAxis, YAxis, CartesianGr... | 20,000 | 27 | normal |
Brammi114/telco-customer-churn | none | 0.6842 | finance | 0.1483 | null | [
"tabular-classification",
"churn-prediction",
"telecom",
"customer-retention",
"demographics",
"customer-service"
] | # Dataset Card for Telco Customer Churn
This dataset contains information about customers of a fictional telecommunications company, including demographic information, services subscribed to, location details, and churn behavior. This merged dataset combines the information from the original Telco Customer Churn datas... | 7,336 | 70 | normal |
TAUR-dev/D-EVAL__standard_eval_v3__FinEval_RL_AT_rlonly-eval_rl | none | 0.6838 | code | 0.1543 | null | [] | 0 | 5 | normal | |
MinaMila/ACSEmployment_2_train_lm_55 | none | 0.9289 | code | 0.0445 | null | [] | # Dataset Card for "ACSEpmployment_2_train_lm_55"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 5 | normal |
tejfsingh/sea-teleop | none | 0.9126 | code | 0.0278 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # master
**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. | 294 | 7 | normal |
DCAgent2/DCAgent_dev_set_v2_DCAgent_taskmaster2-gpt5mini_global-batch-size_16_20260302_235328 | none | 0.9178 | code | 0.0379 | null | [] | 0 | 15 | normal |
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