datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
FER2025
FER2025 – Facial Expression Recognition Dataset
Overview
FER2025 is a large-scale, balanced facial emotion dataset designed for deep learning and computer vision research. It contains 1,589,810 images across 7 emotion classes:
Class
Images
Angry
224,624
Disgust
239,366
Fear
223,466
Happy
222,082
Neutral
234,230
Sad
217,884
Surprise
228,158
Image formats: jpg, jpeg, png
Balanced: Maximum class difference ≈ 1.3%
FER2025 is suitable for… See the full description on the dataset page: https://huggingface.co/datasets/imadhavan/FER2025.JFK-AssassinationRecords-OCR-2025
Ask your favourite LLM who killed JFK
Parsing the JFK Assassination Records Release 2025 with OCR to extract text files that can be used for Retrieval Augmented Generation (RAG) in LLMs.
Download text_output.tar.gz (49 MB) from this dataset repository which are the text files extracts via OCR from the JFK pdf files.
Then download for example https://www.nomic.ai/gpt4all and use LocalDocs to import text_output into some high dimensional space and then chat with your favourite LLM… See the full description on the dataset page: https://huggingface.co/datasets/dangermouse77/JFK-AssassinationRecords-OCR-2025.OpticalMicrorobot2025-captionse621_20250524_selected
内部暂存数据集 (Internal Temporary Dataset)
English
This is a temporary dataset for internal use.
It might contain:
Items being re-processed or corrected (e.g., some images requiring re-tagging using a distributed cluster, needing a convenient data source for it).
Data to supplement our internal systems (e.g., if a machine accidentally lost some images and we don't want to re-download everything).
Recent updates or experimental data not yet finalized (e.g., the image source… See the full description on the dataset page: https://huggingface.co/datasets/NebulaeWis/e621_20250524_selected.PDB_snapshot_mmCIF_20250101202502_style_disentangle_test_51HAWK_ICCE2025
download
hf download backseollgi/HAWK_ICCE2025 --repo-type dataset --local-dir .
HAWK_bench 복원
1. 분할 파일 합치기
cat HAWK_bench.tar.gz.part-* > HAWK_bench.tar.gz
2. 압축 해제
tar -I pigz -xvf HAWK_bench.tar.gz
HAWK_bench_json 복원
1. 분할 파일 합치기
cat HAWK_bench_json.tar.gz.part-* > HAWK_bench_json.tar.gz
2. 압축 해제
tar -I pigz -xvf HAWK_bench_json.tar.gz
octo_ljp_aubo_merged_20250519to20250529_20250604202502_style_disentangle_test_36gelbooru_20250526_add
内部暂存数据集 (Internal Temporary Dataset)
English
This is a temporary dataset for internal use.
It might contain:
Items being re-processed or corrected (e.g., some images requiring re-tagging using a distributed cluster, needing a convenient data source for it).
Data to supplement our internal systems (e.g., if a machine accidentally lost some images and we don't want to re-download everything).
Recent updates or experimental data not yet finalized (e.g., the image source… See the full description on the dataset page: https://huggingface.co/datasets/NebulaeWis/gelbooru_20250526_add.202502_style_disentangle_test_25droid_filtered_20251113.tar202502_style_disentangle_test_17202502_style_disentangle_test_26droid_all-20251115.tarFER2025
FER2025 – Facial Expression Recognition Dataset
Overview
FER2025 is a large-scale, balanced facial emotion dataset designed for deep learning and computer vision research. It contains 1,589,810 images across 7 emotion classes:
Class
Images
Angry
224,624
Disgust
239,366
Fear
223,466
Happy
222,082
Neutral
234,230
Sad
217,884
Surprise
228,158
Image formats: jpg, jpeg, png
Balanced: Maximum class difference ≈ 1.3%
FER2025 is suitable for… See the full description on the dataset page: https://huggingface.co/datasets/linkyle910125/FER2025.202502_style_disentangle_test_21202502_style_disentangle_test_20202502_style_disentangle_test_59202502_style_disentangle_test_65202502_style_disentangle_test_64202502_style_disentangle_test_66202502_style_disentangle_test_68octo_czy_aubo_20250522202502_style_disentangle_test_5202502_style_disentangle_test_13202502_style_disentangle_test_33202502_style_disentangle_test_58202502_style_disentangle_test_76
