Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 81, in _split_generators
                  first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
                  fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
                                                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
                  cls = get_filesystem_class(protocol)
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
                  raise ValueError(f"Protocol not known: {protocol}")
              ValueError: Protocol not known: memory
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, 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.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

yxp_replays is a collection of replay files from Yi Xian, an asymmetric autobattler card game in which each player has their own card pool and rearranging one's cards to anticipate the opponent's card arrangement can almost always achieve a win in a given battle (as opposed to autobattlers such as teamfight tactics which feature a shared pool of game pieces and a huge number of battles that could not really be won by optimal positioning given knowledge of the opponent's positioning).

Archive updates

archive_replay_buckets.py builds .tar.zst archives from replay bucket directories under /home/sharpobject/repos/yisim/scrape/data/replays.

By default, a bucket is archived only when one of these gates is satisfied:

  • the newest file change inside the bucket is at least 4 days old, and at least one JSON file that would be added to the archive has data.gameMode 3
  • no archive exists yet, the highest replay JSON in the bucket is at least bucket number + 980, and that replay's data.beginTs is at least 4 hours old

For both gates, every replay number in the bucket must have all 8 perspectives present. A replay number is accepted when all 8 perspectives are .missing, all 8 are .json, or the perspectives are mixed and at least one present JSON has data.gameMode other than 3.

Run a local archive pass:

./archive_replay_buckets.py

Inspect the queue without writing archives:

./archive_replay_buckets.py --dry-run

Run, commit changed archives, and push to the configured Hugging Face remote:

./archive_replay_buckets.py --push

Daily user-systemd automation is in systemd/. To enable it:

mkdir -p ~/.config/systemd/user
cp systemd/yxp-replay-archives.service systemd/yxp-replay-archives.timer ~/.config/systemd/user/
systemctl --user daemon-reload
systemctl --user enable --now yxp-replay-archives.timer
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