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Datasets:
bethgelab
/
frequency_determines_performance

Tasks:
Zero-Shot Classification
Feature Extraction
Languages:
English
Size Categories:
n<1K
License:
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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:    DataFilesNotFoundError
Message:      No (supported) data files found in bethgelab/frequency_determines_performance
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1873, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1854, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1245, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 595, in infer_module_for_data_files
                  raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else ""))
              datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in bethgelab/frequency_determines_performance

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Frequency estimation results and tagged samples: counts_and_indices.zip contains all the result jsons (for the estimated frequencies for image-only, text-only and image-text searches) and the sample indices that are tagged to each concept for the LAION400m/LAION-Aesthetics datasets.

Constructed dictionaries and other pretraining and downstream data artefacts: Due to the large size of all our data artefacts, we release our dictionaries and other feature artefacts as split files of a 110GB sized zip file (named as features_zip_part_aa, features_zip_part_ab and features_zip_part_ac). Please download the individual split files, and then manually combine them to reconstruct the original zip file like this:

cat features_zip_part_aa features_zip_part_ab features_zip_part_ac > features.zip

Once combined, please verify that the file is correctly transferred by comparing the md5sum hash of the file:

md5sum features.zip

The output hash should be: 11f6339df3206257efdfc4a54dd7ca60 features.zip

For more details, see our github repository

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