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Datasets:
FacePerceiver
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laion-face

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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    FileNotFoundError
Message:      Couldn't find a dataset script at /src/services/worker/FacePerceiver/laion-face/laion-face.py or any data file in the same directory. Couldn't find 'FacePerceiver/laion-face' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in FacePerceiver/laion-face. 
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 55, in compute_config_names_response
                  for config in sorted(get_dataset_config_names(path=dataset, token=hf_token))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1508, in dataset_module_factory
                  raise FileNotFoundError(
              FileNotFoundError: Couldn't find a dataset script at /src/services/worker/FacePerceiver/laion-face/laion-face.py or any data file in the same directory. Couldn't find 'FacePerceiver/laion-face' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in FacePerceiver/laion-face.

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Laion-Face

LAION-Face is the human face subset of LAION-400M, it consists of 50 million image-text pairs. Face detection is conducted to find images with faces. Apart from the 50 million full-set(LAION-Face 50M), there is a 20 million sub-set(LAION-Face 20M) for fast evaluation.

LAION-Face is first used as the training set of FaRL, which provides powerful pre-training transformer backbones for face analysis tasks.

For more details, please check the offical repo at https://github.com/FacePerceiver/LAION-Face .

Download and convert metadata 

wget -l1 -r --no-parent https://the-eye.eu/public/AI/cah/laion400m-met-release/laion400m-meta/
mv the-eye.eu/public/AI/cah/laion400m-met-release/laion400m-meta/ .
wget https://huggingface.co/datasets/FacePerceiver/laion-face/resolve/main/laion_face_ids.pth
wget https://raw.githubusercontent.com/FacePerceiver/LAION-Face/master/convert_parquet.py
python convert_parquet.py ./laion_face_ids.pth ./laion400m-meta ./laion_face_meta

Download the images with img2dataset

When metadata is ready, you can start download the images.

wget https://raw.githubusercontent.com/FacePerceiver/LAION-Face/master/download.sh
bash download.sh ./laion_face_meta ./laion_face_data

Please be patient, this command might run over days, and cost about 2T disk space, and it will download 50 million image-text pairs as 32 parts.

  • To use the LAION-Face 50M, you should use all the 32 parts.
  • To use the LAION-Face 20M, you should use these parts.
    0,2,5,8,13,15,17,18,21,22,24,25,28

checkout download.sh and img2dataset for more details and parameter setting.

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