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 |
|---|---|---|---|---|---|---|---|---|---|---|
jihuny/llama_uf_10k_sky_dpo_dpogopt_g07 | none | 0.6898 | climate | 0.1145 | null | [] | 0 | 10 | normal | |
AscendKernelGen/Ascend-COT-v1 | code | 0.9724 | none | 0.0176 | null | [] | # AscendKernelGen/Ascend-COT-v1
[](https://arxiv.org/abs/2601.07160)
AscendKernelGen/Ascend-CoT-v1 contains a small subset of the full Ascend-CoT dataset, which will be released in stages. ... | 2,991 | 67 | new_discovery |
Khadgeswari/WorldFloodsv2 | biology | 0.5084 | none | 0.4206 | null | [
"remote sensing",
"sentinel2",
"landsat",
"floods"
] | # *WorldFloodsv2* dataset
This repository contains the *WorldFloodsv2* dataset released with the publication:
> E. Portalés-Julià, G. Mateo-García, C. Purcell, and L. Gómez-Chova [Global flood extent segmentation in optical satellite images](https://www.nature.com/articles/s41598-023-47595-7). _Scientific Reports 13,... | 2,044 | 184 | boundary |
tor24/product-user-feedback-mini | none | 0.9253 | medical | 0.0208 | null | [] | # Product User Feedback Mini
Short human-written dataset of labeled user feedback for classification tasks.
## Intended Use
User feedback analysis, sentiment classification, and product research.
## License
CC-BY-4.0 | 219 | 4 | normal |
instinger/almart | none | 0.431 | chemistry | 0.1361 | null | [] | 0 | 4 | normal | |
sert121/ad_instruct_containing_a_e_e_m_o_r_c_test_shuffled_2 | none | 0.9523 | legal | 0.0241 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_7_log_features
# Features Used
['relationship', 'marital-status', 'capital-gain', 'age', 'occupation', 'education-num', 'education']
## Dataset Description
Top 7 fea... | 391 | 4 | normal |
Lots-of-LoRAs/task1252_ted_translation_it_gl | none | 0.9281 | biology | 0.0409 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1252_ted_translation_it_gl
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066
- **Point of... | 2,305 | 10 | normal |
Kush26/wikitext103-tokenized-gpt2 | none | 0.6807 | code | 0.1036 | null | [] | 0 | 5 | normal | |
fakhrullll/Veritas | none | 0.3778 | code | 0.1198 | null | [] | 0 | 8 | normal | |
timaeus/uspto_backgrounds_max_loss_delta_ablation_l0h7 | none | 0.8674 | code | 0.0314 | null | [] | 0 | 3 | normal | |
mlfoundations-dev/seed_code_multiple_samples_scale_up_base_16K_unit_tests | none | 0.5145 | code | 0.3293 | null | [] | 0 | 4 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_7095b27e-95bd-4295-b213-49f20c937daa | none | 0.6557 | code | 0.1477 | null | [] | 0 | 3 | normal | |
oakwood/efe_br-24 | biology | 0.4226 | none | 0.207 | null | [] | This dataset was created using [🤗 LeRobot](https://github.com/huggingface/lerobot). | 83 | 4 | normal |
cat-claws/hotpotqa_clustered_spectral_all-mpnet-base-v2_10 | none | 0.7723 | code | 0.0924 | null | [] | 0 | 6 | normal | |
AmirMohseni/reasoning-router-data-v2 | none | 0.603 | code | 0.1722 | null | [] | 0 | 41 | normal | |
awsuineg/test_meeting_Qwen3-8B_texts_phi4 | none | 0.4012 | chemistry | 0.3487 | null | [] | 0 | 4 | normal | |
Asap7772/arc-filtered-unique-train-subset-o4sols | none | 0.6294 | biology | 0.109 | null | [] | 0 | 6 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_b798419c-0d61-41fb-8087-9479233d6298 | none | 0.5896 | code | 0.218 | null | [] | 0 | 3 | normal | |
mkkimuser/ffw_sg2_rev1_wera8 | none | 0.8816 | code | 0.1126 | null | [
"ffw_sg2_rev1",
"robotis"
] | 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",
"... | 4,880 | 4 | normal |
JaehyeokLee/dn_sft_part_7 | none | 0.3265 | climate | 0.2533 | null | [] | 0 | 5 | normal | |
recommender-system/movielens-small-completed | none | 0.9122 | biology | 0.0701 | null | [] | This dataset are combining by:
- The Movielens latest dataset: https://grouplens.org/datasets/movielens/latest/
- The Movies dataset: https://www.kaggle.com/datasets/rounakbanik/the-movies-dataset
- The Tag Genome dataset for movies: https://grouplens.org/datasets/movielens/tag-genome-2021/
- The Tag Genome dataset for... | 812 | 33 | normal |
Thunderous77/DPO_training_data_by_llama3_it_ultra_list_and_bold500 | none | 0.871 | code | 0.0358 | null | [] | 0 | 3 | normal | |
alihmaou/bdnb_2023-11.a_batiment_groupe_bdtopo_bat_79 | none | 0.7935 | biology | 0.0628 | null | [] | 0 | 4 | normal | |
PerkinsFund/traceix-ai-security-telemetry | cybersecurity | 0.9888 | code | 0.0072 | cybersecurity | [
"malware",
"cybersecurity",
"ATT&CK",
"MBC",
"pe-files",
"elf-files",
"binary-classification",
"tabular-data",
"threat-intelligence",
"digital-forensics",
"reverse-engineering",
"incident-response",
"security-telemetry",
"ai-security",
"security-ml",
"mitre-attack",
"mitre-mbc",
"w... | # Traceix AI Security Telemetry
Each dataset is a JSONL file where **each line describes a single file analyzed by [Traceix](https://traceix.com)**. For every file you get:
* **`file_capabilities`** – high-level behaviors and capabilities (CAPA-style + mapped to ATT&CK and MBC tags like `Execution/T1129`, `Discovery/... | 2,592 | 59 | normal |
eri166/indonesian-speech-test | none | 0.4917 | legal | 0.191 | null | [] | 0 | 4 | normal | |
Nexdata/50538-Questions-Test-Paper-VQA-Data | none | 0.836 | math | 0.1448 | null | [] | ## Description
204,522 Images - Test Paper VQA Data, covering multiple subjects, question types and collection devices (mobile phones, scanners), and the text was transcribed, and the formulas and tables were transcribed using latex format. This dataset can be used for tasks such as intelligent exam paper marking and h... | 1,479 | 3 | normal |
timarni/MNLP_STEM_IT_Balanced | none | 0.4411 | biology | 0.1783 | null | [] | 0 | 4 | normal | |
Vanduc03/robot-vision-sample-dataset15 | none | 0.8536 | code | 0.053 | null | [] | # Robot Vision Sample Dataset
This dataset is created for experimental robotics vision and perception training purposes. | 121 | 8 | normal |
Ktzoras/shipping_news_articles_backup | none | 0.6107 | code | 0.0789 | null | [] | 0 | 3 | normal | |
jackzhang/BeaverTails-promptembed | none | 0.485 | code | 0.2047 | null | [] | 0 | 11 | normal | |
error-magnet/droid4_rr | none | 0.8839 | code | 0.1063 | 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",
"... | 4,166 | 11 | normal |
dsrselfcorr/turn3_verify_true_sft | none | 0.4699 | chemistry | 0.2284 | null | [] | 0 | 3 | normal | |
villekuosmanen/eval_test | none | 0.9287 | 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": "v2.0",
"... | 3,082 | 41 | normal |
McSpicyWithMilo/directions-0.2split-new-move-validation | none | 0.9524 | code | 0.0319 | null | [] | # Dataset Card for "directions-0.2split-new-move-validation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 193 | 4 | normal |
sltAI/crowdsourced-text-to-sign-language-rule-based-translation-corpus | legal | 0.3352 | none | 0.3076 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [M... | 4,129 | 217 | boundary |
tsogoo/record_test2 | none | 0.9443 | code | 0.0497 | 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 |
aic-datnvt/L10 | none | 0.3973 | chemistry | 0.1926 | null | [] | 0 | 17 | normal | |
Helsinki-NLP/opus_xhosanavy | none | 0.9922 | legal | 0.0042 | null | [] | # Dataset Card for [Dataset Name]
## 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-instanc... | 2,769 | 75 | normal |
sanganaka/Vedavani-Dataset | none | 0.9912 | code | 0.0019 | null | [
"automatic-speech-recognition",
"speech",
"sanskrit",
"vedic",
"low-resource",
"whisper",
"audio"
] | # Vedavani: A Benchmark Corpus for ASR on Vedic Sanskrit Poetry
**Vedavani** is the first benchmark dataset for **automatic speech recognition (ASR)** on **Vedic Sanskrit poetry**, consisting of richly annotated verses from the *Rig Veda* and *Atharva Veda*. This corpus captures the unique **prosodic structure**, **... | 2,517 | 130 | normal |
gswamy/pythia-1.4B-tldr-dpo-pair-iter-1 | none | 0.5359 | code | 0.1507 | null | [] | 0 | 5 | normal | |
connections-dev/search-tracked-original_1_reason_None_0.7_16384_Olmo-3_1-32B-T | none | 0.8778 | code | 0.0748 | null | [] | 0 | 11 | normal | |
TheFactoryX/edition_0843_google-research-datasets-mbpp-readymade | none | 0.9891 | code | 0.0088 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0843_google-research-datasets-mbpp-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[google-research-datasets/mbpp](https://huggingface.co/datasets/google-research-datasets/mbpp)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recon... | 969 | 5 | normal |
sungyub/guru-logic-verl | math | 0.7827 | code | 0.144 | null | [
"reasoning",
"logic",
"puzzle",
"rlhf",
"verl",
"reinforcement-learning"
] | # GURU Logic VERL Dataset
## Dataset Overview
This Hugging Face dataset contains **1,742 samples** of logic reasoning problems from the GURU-RL-92k collection, specifically the logic and simulation splits after schema transformation. The data follows VERL (VerL format) specifications for reinforcement learning applic... | 7,423 | 24 | normal |
dwadden/science_adapt | none | 0.4238 | chemistry | 0.1573 | null | [] | 0 | 5 | normal | |
supergoose/flan_combined_task1241_ted_translation_gl_ar | none | 0.8184 | code | 0.0666 | null | [] | 0 | 4 | normal | |
AdleBens/validate3 | none | 0.9146 | code | 0.0667 | null | [
"phosphobot",
"so100",
"phospho-dk1"
] | # validate3
**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. | 292 | 44 | normal |
sumukshashidhar-testing/reasoning-rerankers-relevance-sft-data-r1-70b | none | 0.6764 | code | 0.1186 | null | [] | 0 | 6 | normal | |
reasoning-degeneration-dev/EAS-Qwen3-30B-A3B-Thinking-2507-cd8arg-iterative-llm-extract-test-stage02a | none | 0.8346 | code | 0.0841 | null | [
"degen_test_1_countdown",
"stage_02a",
"arithmetic_extraction",
"deterministic"
] | # EAS-Qwen3-30B-A3B-Thinking-2507-cd8arg-iterative-llm-extract-test-stage02a
Deterministic extraction of arithmetic attempts, expressions, subgoals, branches, and failure markers from Countdown reasoning traces
## Dataset Info
- **Rows**: 1
- **Columns**: 26
## Columns
| Column | Type | Description |
|--------|---... | 7,705 | 4 | normal |
fydhfzh/ds-fold-5-new | none | 0.5195 | chemistry | 0.1565 | null | [] | 0 | 4 | normal | |
racineai/VDR_Quantum_Circuit_Synthetic | chemistry | 0.5981 | none | 0.1933 | null | [
"RAG",
"quantum",
"quantum circuit",
"physics",
"DSE"
] | # VDR_Quantum_Circuit_Synthetic – Overview
**VDR_Quantum_Circuit_Synthetic** is a curated multimodal dataset focused on synthetic quantum circuits. It combines generated circuit images with expert-level technical queries to support tasks such as RAG DSE, question answering, document search, and vision-language model t... | 1,667 | 103 | normal |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent_nl2bash-nl2bash-bugsseq_Qc3b26652 | none | 0.436 | biology | 0.2558 | null | [] | 0 | 13 | normal | |
TheFactoryX/edition_0142_tatsu-lab-alpaca-readymade | none | 0.9721 | code | 0.0247 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0142_tatsu-lab-alpaca-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[tatsu-lab/alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
**What we di... | 930 | 4 | normal |
movefast/s1k-processed-clean-filtered-v3 | none | 0.5567 | chemistry | 0.2513 | null | [] | 0 | 64 | normal | |
amineouaki/emotion_englishv2 | none | 0.5228 | chemistry | 0.1935 | null | [] | 0 | 5 | normal | |
neelabh17/star-graph-deg-5-path-5-nodes-300-Qwen2.5-14B-Instruct_1_incorr_80 | none | 0.7024 | code | 0.1178 | null | [] | 0 | 4 | normal | |
jingjietan/kaggle-gpt4o-guided-en-oen-fr-bm-jp-zh | none | 0.6087 | code | 0.1432 | null | [] | 0 | 10 | normal | |
talzoomanzoo/MATH500_level5 | none | 0.3599 | math | 0.2 | null | [] | 0 | 4 | normal | |
Lots-of-LoRAs/task141_odd-man-out_classification_category | none | 0.9144 | biology | 0.0484 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task141_odd-man-out_classification_category
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066... | 2,318 | 10 | normal |
connections-dev/res_gptoss20b_original_1_medium_0.7_4096_claude-haiku-4-5-20251001_s-1_e400 | none | 0.9644 | code | 0.0224 | null | [] | 0 | 8 | normal | |
powow/swe-data | math | 0.7358 | none | 0.1601 | null | [] | # Content
Mostly mathematical and Swedish text content, image (PIL image) to text (.mmd syntax) pairs.
# Usage
The dataset can be loaded and used in the typical Huggingface manner:
```python
from datasets import load_dataset
dataset = load_dataset("powow/swe-data")
``` | 274 | 15 | normal |
oumaymaMb/llama-2-7b-NER-v7 | none | 0.5294 | biology | 0.2235 | null | [] | 0 | 4 | normal | |
joonsu0109/so100_pickup_green_lego | none | 0.9056 | code | 0.0909 | null | [
"so100",
"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",
"... | 3,576 | 39 | normal |
Lawrence/Ndizi_parler_data_prep_original | none | 0.5295 | climate | 0.1597 | null | [] | 0 | 3 | normal | |
smjain/api_interaction_scenarios_v2 | none | 0.5 | code | 0.1882 | null | [] | 0 | 4 | normal | |
polarbear0130ch/pick_and_place_1 | none | 0.9121 | code | 0.0815 | 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",
"... | 3,585 | 19 | normal |
ucla-cmllab/ultrachat_200k | none | 0.577 | chemistry | 0.1761 | null | [] | 0 | 4 | normal | |
jakmilller/example_dataset | none | 0.8941 | code | 0.0867 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # example_dataset
**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. | 303 | 5 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_4ade333b-7c93-4510-b2b4-77a3f387c63b | none | 0.7362 | code | 0.1261 | null | [] | 0 | 18 | normal | |
saumyamalik/personas_code_prompts_generated_shard_5 | code | 0.4944 | none | 0.3898 | null | [] | 0 | 3 | boundary | |
sapientinc/sudoku-extreme-1k | none | 0.6355 | code | 0.1918 | null | [] | 0 | 236 | normal | |
ClarusC64/clinical-quad-metabolic-stress-buffer-lag-organ-coupling-mof-transition-v0.6 | medical | 0.994 | none | 0.0042 | medical | [
"clinical-trials",
"clarus",
"quad-coupling",
"trajectory-aware",
"intervention-pathway",
"metabolic",
"mof"
] | # What this repo does
This repository contains a Clarus v0.6 intervention pathway dataset focused on multi-organ failure transition dynamics.
The dataset evaluates whether a model can determine if a proposed intervention meaningfully stabilizes a deteriorating multi-organ system.
The task requires reasoning from:
-... | 7,218 | 92 | normal |
OpenAgentLab/SWE-bench_Pro-ABS | code | 0.9951 | none | 0.0042 | code | [
"swe-bench",
"swe-bench-pro",
"code",
"agent",
"software-engineering"
] | # SWE-bench_Pro-ABS
A dataset of **731** software engineering instances derived from [SWE-bench-pro](https://github.com/logic-star-ai/SWE-bench-Pro),
extended with model-generated test patches for evaluation.
GitHub: [OpenAgentEval/SWE-ABS](https://github.com/OpenAgentEval/SWE-ABS)
Out of 731 instances, **150** have... | 3,104 | 42 | normal |
F1xTrack/TigerEgorVoice | none | 0.5012 | code | 0.1639 | null | [] | 0 | 5 | normal | |
Mingminng/omx_pick_black_motor_v3 | none | 0.9182 | code | 0.0779 | 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",
"... | 2,944 | 5 | normal |
nativemind/legal-108-perfect | legal | 0.8811 | none | 0.0998 | null | [
"sacred-108",
"spiritual-ai",
"instruction-tuning"
] | # legal-108-perfect
## Описание
Датасет для обучения AI в юридической сфере.
Включает **4 специализированные сферы** × 108 примеров:
- 047: Следователь - сбор доказательств
- 048: Прокурор - обнаружение нарушений (КЛЮЧЕВАЯ сфера)
- 049: Судья - вынесение справедливых решений
Плюс духовная сфера 001 + 1080 примеров... | 1,615 | 5 | new_discovery |
french-open-data/bornes-de-recharge-pour-vehicules-electriques-reveo | cybersecurity | 0.9744 | none | 0.0228 | null | [
"irve",
"mobilite-verte-stations-de-recharge",
"stations-de-recharge",
"dataset_for_agent"
] | # Bornes de recharge pour véhicules électriques - Révéo
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Bornes de recharge pour véhicules électriques - Révéo ** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/68b6c257027119acceb896c9
#... | 687 | 8 | new_discovery |
agentlans/character-archetypes | none | 0.9593 | code | 0.0257 | null | [
"character archetypes",
"storytelling",
"narrative design",
"creative writing",
"personality traits",
"character development",
"fiction analysis",
"mythology",
"narrative psychology",
"literary studies"
] | # Character Archetypes Dataset
The **Character Archetypes Dataset** contains 100 examples of narrative archetypes commonly found in literature, film, mythology, and other storytelling media.
Each entry describes a distinct character type, including its defining description, core traits, motivations, and a typical stor... | 2,446 | 26 | normal |
MothMalone/data-preprocessing-automl-benchmarks | none | 0.6221 | finance | 0.2908 | null | [
"data-preprocessing",
"automl",
"benchmarks"
] | # Data Preprocessing AutoML Benchmarks
This repository contains text classification datasets with known data quality issues for preprocessing research in AutoML.
## Usage
Load a specific dataset configuration like this:
```python
from datasets import load_dataset
# Example for loading the TREC dataset
dataset = loa... | 2,315 | 61 | normal |
Jopoblan089/crm_dataset_original | none | 0.3157 | climate | 0.2298 | null | [] | 0 | 5 | normal | |
hk3742/Assignment-2 | none | 0.7675 | code | 0.1975 | null | [] | # RAV4 Car Part Detection Index
This dataset supports image-to-video semantic retrieval for car exterior components. It contains two files: a detection index built from a Toyota RAV4 2026 review video, and retrieval results mapping query images to video segments.
---
## detections.parquet
Object detection results f... | 3,023 | 14 | normal |
recursal/OKReddit-Visionary | none | 0.7775 | code | 0.1944 | null | [] | <div>
<a href="https://soundcloud.com/lemmino/biosignature"><img src="https://cdn-uploads.huggingface.co/production/uploads/633e85093a17ab61de8d9073/jh7lskqN9TnF53HmKnFlh.png" title=""We've switched style models from 1.5 to SDXL! Yay! And yes, it's a Style lora once more."" style="margin-left:auto;margin-ri... | 5,957 | 118 | normal |
saillab/alpaca_armenian_taco | none | 0.8584 | code | 0.0849 | null | [] | This repository contains the dataset used for the TaCo paper.
The dataset follows the style outlined in the TaCo paper, as follows:
```
{
"instruction": "instruction in xx",
"input": "input in xx",
"output": "Instruction in English: instruction in en ,
Response in English: response in en ,
R... | 1,360 | 36 | normal |
jacobmorrison/generation_9564 | none | 0.7032 | code | 0.2893 | 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': 'jacobmorrison',
'hf_repo_id': 'generation_9564',
'mode': 'generation',
'model_name_or_path': '/gener... | 1,352 | 177 | normal |
sqres/cpt112_idea_sft | chemistry | 0.2752 | none | 0.1827 | null | [] | 0 | 4 | boundary | |
Muhammad-Umer-Khan/FAQ_Dataset | none | 0.9465 | code | 0.03 | null | [] | # Dataset Card for "FAQ_Dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 165 | 5 | normal |
jordand/echo-embeddings-custom | none | 0.7626 | code | 0.0763 | null | [
"audio",
"tts",
"speaker-embeddings"
] | # Custom Speaker Embeddings
Contains speaker folders within HF-Custom, each with:
- a precomputed speaker embedding (`speaker_latent.safetensors`)
- its corresponding audio (`audio.mp3`)
- a metadata file describing the voice and licensing (`metadata.json`)
> **Licensing:**
> There is **no single license** for this... | 442 | 106 | normal |
siacus/corruption-finetuning-L3-100 | none | 0.5197 | climate | 0.1091 | null | [] | 0 | 4 | normal | |
sleeping-ai/FakeProfile600 | none | 0.9282 | code | 0.0378 | null | [
"fake-profile",
"voice-profiles",
"GenAI Voice-Profile"
] | Excited to share 600 state-of-art profiles of fake voice profiles of real people. We are releasing this for training robust and diverse **text-to-speech** and **text-to-music** models.
### Data fields
- **displayName**:
Full name of the speaker (e.g., "Éloïse Gagné").
- **language**:
Language code in all cap... | 1,457 | 6 | normal |
paszea/lekiwi_aug_grab | none | 0.9253 | code | 0.0685 | null | [
"lekiwi",
"game"
] | 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",
"... | 3,618 | 574 | normal |
komokomo7/cranex7_gc_on20251222_122729 | none | 0.9237 | code | 0.0682 | 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",
"... | 3,693 | 6 | normal |
lNoelia/EclipseIssues | biology | 0.2572 | climate | 0.2383 | null | [] | 0 | 5 | boundary | |
sangeetha-s-ads/Trcihoderma-Disease-Oyster-Mushroom-Dataset | none | 0.5184 | biology | 0.2341 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset can be used for smart agriculture in mushroom farming
## Dataset Details
### Dataset Description
Trichoderma is a infectious disease found in oyster mushroom cultivation. The dataset contain images of Trichoderma disease... | 2,777 | 3 | normal |
abhinav302019/olympiad_data_399 | none | 0.3376 | biology | 0.3251 | null | [] | 0 | 4 | normal | |
adityarra07/test_ds_uwb | none | 0.9017 | code | 0.0436 | null | [] | # Dataset Card for "test_ds_uwb"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 165 | 3 | normal |
NadineMostafa/HumanEval-armv8-O0-clang-native | none | 0.6268 | biology | 0.1996 | null | [] | 0 | 5 | normal | |
mzio/aprm-sft_genthinkact-ENact_prm_snorkel_finance_fs1-GEaprm_qwen3_ap-SE42-REv10-ap1-b039 | finance | 0.5235 | none | 0.4091 | null | [] | 0 | 8 | boundary | |
lmms-lab/sae-sample-cache-dataset | chemistry | 0.608 | none | 0.1724 | null | [] | This is a sample cache dataset for caching the image activations for interpreting the visual features in the sae. It is being curated using the following [script](https://github.com/EvolvingLMMs-Lab/multimodal-sae/blob/main/tools/prepare_cache_dataset.py)
We select these data to curate a relatively small size but more... | 483 | 102 | normal |
MLRookie3123/Shopping-fine-tune-dataset | none | 0.75 | code | 0.1038 | null | [] | 0 | 3 | normal | |
markstev/eval_scoopgo3 | none | 0.919 | code | 0.0759 | 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",
"... | 3,571 | 5 | normal |
vamshi0317/team4-888_CodeforcesProblems_ts_cleaned_summarized_v2 | none | 0.7574 | code | 0.1434 | null | [] | 0 | 5 | normal |
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