The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: FileNotFoundError
Message: [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7f4dba14f230>'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4645, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2866, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3073, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2581, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/xml/xml.py", line 67, in _generate_tables
with open(file, encoding=self.config.encoding, errors=self.config.encoding_errors) as f:
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/streaming.py", line 73, in wrapper
return function(*args, download_config=download_config, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 961, in xopen
return open(main_hop, mode, *args, **kwargs)
FileNotFoundError: [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7f4dba14f230>'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.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Unpack the match data here
This folder is empty on purpose. The match assets are gated — see DATA.md for how to enrol, accept the terms, and get the download link.
Unpack the bundle here, keeping the names it arrives with:
data/
├─ tactical/ the evaluation reference
│ ├─ BAR-ATH_tactical.mp4 row i of a submission is frame i of this
│ ├─ BAR-ATH_tactical_atd.xml tracking metadata
│ ├─ BAR-ATH_tactical_atd.txt tracking, players and ball
│ ├─ BAR-ATH_tactical_homography.csv one 3x3 matrix per frame
│ └─ BAR-ATH_tactical_smart_tagging.xml 638 tactical phases and set pieces
└─ broadcast/ optional, NOT synchronised to tactical
├─ BAR-ATH_broadcast.mp4
├─ BAR-ATH_broadcast_atd.xml
├─ BAR-ATH_broadcast_atd.txt
└─ BAR-ATH_broadcast_homography.csv
One folder per recording, because the question that matters most about any of these files is which
timeline it is on. games.py derives every path, so nothing else in the repository spells one out:
from games import asset_paths
asset_paths() # tactical, the default
asset_paths(source="broadcast")
If a filename ever changes, games.py is the only edit.
Prefer to keep the data somewhere else? Point MTAH_DATA_DIR at it and nothing else changes:
export MTAH_DATA_DIR=/mnt/big-disk/mtah2027 # macOS / Linux
$env:MTAH_DATA_DIR = "D:\mtah2027" # Windows PowerShell
Nothing in here is committed
.gitignore keeps everything except this README out of git. That is not only tidiness — the terms
you accepted cover redistribution, and a public fork with the match video in it is redistribution.
Your own submission repository has to be public too, so check the same thing there.
You do not need any of this to run the scorer
The evaluation reads CSVs only. python evaluation/run_evaluation.py works on a fresh clone with
this folder empty, and scores the four baselines that ship with the repository.
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