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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1400, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 977, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
jsonl unknown | __key__ string | __url__ string |
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... | data/derived/causal_memory/v011_v012_sidecars | hf://datasets/HudeKing/TFT_Agent-data-20261007@d71773ad100ada7691b8f764efc42f7186044305/archives/data_shard_001.tar |
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111,... | data/derived/decision_event_views/v011_v012_actor_pipeline_audit | hf://datasets/HudeKing/TFT_Agent-data-20261007@d71773ad100ada7691b8f764efc42f7186044305/archives/data_shard_001.tar |
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111,... | data/derived/decision_event_views/v011_v012_actor_train | hf://datasets/HudeKing/TFT_Agent-data-20261007@d71773ad100ada7691b8f764efc42f7186044305/archives/data_shard_001.tar |
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... | data/derived/decision_event_views/v011_v012_labels_audit | hf://datasets/HudeKing/TFT_Agent-data-20261007@d71773ad100ada7691b8f764efc42f7186044305/archives/data_shard_001.tar |
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... | data/derived/decision_event_views/v011_v012_labels_pipeline_audit | hf://datasets/HudeKing/TFT_Agent-data-20261007@d71773ad100ada7691b8f764efc42f7186044305/archives/data_shard_001.tar |
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... | data/derived/decision_event_views/v012_actor_pipeline_audit | hf://datasets/HudeKing/TFT_Agent-data-20261007@d71773ad100ada7691b8f764efc42f7186044305/archives/data_shard_001.tar |
[] | data/derived/decision_event_views/v012_actor_train | hf://datasets/HudeKing/TFT_Agent-data-20261007@d71773ad100ada7691b8f764efc42f7186044305/archives/data_shard_001.tar |
[] | data/derived/decision_event_views/v012_labels_audit | hf://datasets/HudeKing/TFT_Agent-data-20261007@d71773ad100ada7691b8f764efc42f7186044305/archives/data_shard_001.tar |
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... | data/derived/decision_event_views/v012_labels_pipeline_audit | hf://datasets/HudeKing/TFT_Agent-data-20261007@d71773ad100ada7691b8f764efc42f7186044305/archives/data_shard_001.tar |
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10... | data/derived/decision_events/v011_set18_2_reviewed | hf://datasets/HudeKing/TFT_Agent-data-20261007@d71773ad100ada7691b8f764efc42f7186044305/archives/data_shard_001.tar |
null | data/derived/decision_events/v011_v012_set18_2_manifest | hf://datasets/HudeKing/TFT_Agent-data-20261007@d71773ad100ada7691b8f764efc42f7186044305/archives/data_shard_001.tar |
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10... | data/derived/decision_events/v011_v012_set18_2_reviewed | hf://datasets/HudeKing/TFT_Agent-data-20261007@d71773ad100ada7691b8f764efc42f7186044305/archives/data_shard_001.tar |
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1... | data/derived/decision_events/v012_set18_2_reviewed | hf://datasets/HudeKing/TFT_Agent-data-20261007@d71773ad100ada7691b8f764efc42f7186044305/archives/data_shard_001.tar |
null | data/derived/m0m1/reference_states_64 | hf://datasets/HudeKing/TFT_Agent-data-20261007@d71773ad100ada7691b8f764efc42f7186044305/archives/data_shard_001.tar |
End of preview.
TFT Agent project dataset
Repository: HudeKing/TFT_Agent-data-20261007, public. The complete local data/ directory has been uploaded and verified in commit 5de4a5c564d04fbfb51447b47f0bff18ea20076f. The 17 shard LFS SHA-256 values match the local archives. Anonymous Hub access and download were verified after the visibility change.
Release policy
The release contains the complete local data/ directory: 29,371 files totaling 28,618,942,268 source bytes (about 26.7 GiB), packaged as 17 uncompressed tar shards to avoid Hub per-file request throttling. Archives preserve original data/... member paths. The full file-level SHA-256 manifest is available in this repository at metadata/hf_full_data_manifest_20261007.json; the older 17-file inventory at reports/data/hf_release_manifest_20261007.json covers only the simulator/reference subset. The repository is public. Users remain responsible for respecting source-video, platform, and third-party content terms.
Contents
- Downloaded VODs and locally generated frames, windows, and review samples.
- Video-derived ROI/event/decision sidecars and related audit artifacts.
- Reference trajectories, IQL/combat/M0M1 artifacts, and the knowledge package.
Known limitations
As of 2026-10-07, qualified clean expert POV duration is 0 hours; 7 real DecisionEvents are in the pipeline with 0 human-reviewed and 0 training-eligible; the 2110 real ROI review queue has 0 reviewed records. Candidate hours are not training hours.
The dataset is not a complete Set 18.3 arena dataset and does not support a real-rank-strength claim.
Download
huggingface-cli download HudeKing/TFT_Agent-data-20261007 --repo-type dataset --local-dir hf_dataset
for archive in hf_dataset/archives/data_shard_*.tar; do tar -xf "$archive" -C .; done
The Hub archive list, sizes, and LFS SHA-256 values were compared with local archives. Every one of the 17 archive hashes matched. No Hugging Face login is required for this public dataset.
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