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Cannot get the split names for the dataset.
Error code:   SplitsNamesError
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/implementations/", line 411, in _info
                  await _file_info(
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/implementations/", line 827, in _file_info
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/aiohttp/", line 1005, in raise_for_status
                  raise ClientResponseError(
              aiohttp.client_exceptions.ClientResponseError: 404, message='Not Found', url=URL('')
              The above exception was the direct cause of the following exception:
              Traceback (most recent call last):
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/", line 388, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                File "/tmp/modules-cache/datasets_modules/datasets/jamescalam--unsplash-25k-photos/50304e0896e7b6d95dd8c358d4d8221ba7d05c55289b902c4b3b01c8550873d3/", line 71, in _split_generators
                  if os.path.isfile(new_url+"/"+file):
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/", line 70, in wrapper
                  return function(*args, use_auth_token=use_auth_token, **kwargs)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/", line 278, in xisfile
                  fs, *_ = fsspec.get_fs_token_paths(path, storage_options=storage_options)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/", line 586, in get_fs_token_paths
                  fs = filesystem(protocol, **inkwargs)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/", line 252, in filesystem
                  return cls(**storage_options)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/", line 76, in __call__
                  obj = super().__call__(*args, **kwargs)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/implementations/", line 53, in __init__
         = fo.__enter__()  # the whole instance is a context
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/", line 102, in __enter__
                  f =, mode=mode)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/", line 1135, in open
                  f = self._open(
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/implementations/", line 350, in _open
                  size = size or, **kwargs)["size"]
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/", line 114, in wrapper
                  return sync(self.loop, func, *args, **kwargs)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/", line 99, in sync
                  raise return_result
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/", line 54, in _runner
                  result[0] = await coro
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/implementations/", line 424, in _info
                  raise FileNotFoundError(url) from exc
              The above exception was the direct cause of the following exception:
              Traceback (most recent call last):
                File "/src/workers/datasets_based/src/datasets_based/workers/", line 119, in compute_splits_response
                  split_items = get_dataset_split_full_names(dataset=dataset, use_auth_token=use_auth_token)
                File "/src/workers/datasets_based/src/datasets_based/workers/", line 76, in get_dataset_split_full_names
                  return [
                File "/src/workers/datasets_based/src/datasets_based/workers/", line 79, in <listcomp>
                  for split in get_dataset_split_names(path=dataset, config_name=config, use_auth_token=use_auth_token)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/", line 442, in get_dataset_split_names
                  info = get_dataset_config_info(
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/", line 393, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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Unsplash Lite Dataset Photos

This dataset is linked to the Unsplash Lite dataset containing data on 25K images from Unsplash. The dataset here only includes data from a single file photos.tsv000. The dataset builder script streams this data directly from the Unsplash 25K dataset source.

For full details, please see the Unsplash Dataset GitHub repo, or read the preview (copied from the repo) below.

The Unsplash Dataset

The Unsplash Dataset is made up of over 250,000+ contributing global photographers and data sourced from hundreds of millions of searches across a nearly unlimited number of uses and contexts. Due to the breadth of intent and semantics contained within the Unsplash dataset, it enables new opportunities for research and learning.

The Unsplash Dataset is offered in two datasets:

  • the Lite dataset: available for commercial and noncommercial usage, containing 25k nature-themed Unsplash photos, 25k keywords, and 1M searches
  • the Full dataset: available for noncommercial usage, containing 3M+ high-quality Unsplash photos, 5M keywords, and over 250M searches

As the Unsplash library continues to grow, we’ll release updates to the dataset with new fields and new images, with each subsequent release being semantically versioned.

We welcome any feedback regarding the content of the datasets or their format. With your input, we hope to close the gap between the data we provide and the data that you would like to leverage. You can open an issue to report a problem or to let us know what you would like to see in the next release of the datasets.

For more on the Unsplash Dataset, see our announcement and site.


Lite Dataset

The Lite dataset contains all of the same fields as the Full dataset, but is limited to ~25,000 photos. It can be used for both commercial and non-commercial usage, provided you abide by the terms.

⬇️ Download the Lite dataset [~650MB compressed, ~1.4GB raw]

Full Dataset

The Full dataset is available for non-commercial usage and all uses must abide by the terms. To access, please go to and request access. The dataset weighs 20 GB compressed (43GB raw)).


See the documentation for a complete list of tables and fields.


You can follow these examples to load the dataset in these common formats:

Share your work

We're making this data open and available with the hopes of enabling researchers and developers to discover interesting and useful connections in the data.

We'd love to see what you create, whether that's a research paper, a machine learning model, a blog post, or just an interesting discovery in the data. Send us an email at

If you're using the dataset in a research paper, you can attribute the dataset as Unsplash Lite Dataset 1.2.0 or Unsplash Full Dataset 1.2.0 and link to the permalink

The Unsplash Dataset is made available for research purposes. It cannot be used to redistribute the images contained within. To use the Unsplash library in a product, see the Unsplash API.

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