The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ArrowTypeError
Message: ("Expected bytes, got a 'list' object", 'Conversion failed for column run_binding with type object')
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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/json/json.py", line 331, in _generate_tables
pa_table = pa.Table.from_pandas(df, preserve_index=False)
File "pyarrow/table.pxi", line 4796, in pyarrow.lib.Table.from_pandas
File "/usr/local/lib/python3.14/site-packages/pyarrow/pandas_compat.py", line 651, in dataframe_to_arrays
arrays = [convert_column(c, f)
~~~~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/pyarrow/pandas_compat.py", line 639, in convert_column
raise e
File "/usr/local/lib/python3.14/site-packages/pyarrow/pandas_compat.py", line 633, in convert_column
result = pa.array(col, type=type_, from_pandas=True, safe=safe)
File "pyarrow/array.pxi", line 365, in pyarrow.lib.array
File "pyarrow/array.pxi", line 91, in pyarrow.lib._ndarray_to_array
check_status(NdarrayToArrow(pool, values, mask, from_pandas,
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowTypeError: ("Expected bytes, got a 'list' object", 'Conversion failed for column run_binding with type object')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.
AIC 2026 UltraVIP — ready-to-use serving artifacts
Bộ này dành cho thành viên nhóm phát triển backend/query/frontend từ Git commit 1170cfc9a4d46bbb9e789ddcf86c02603e5595e4 trở lên.
Bao gồm
- Canonical serving bundle
serving_v2_recovered: SQLite, row map, SigLIP2 visual vectors/index và identity manifests. - 8 keyframe shards, giải nén chung thành
data/keyframes. - SHA-256 cho mọi archive và script cài đặt Windows fail-closed.
- 873 video / 96,340 indexed keyframes / 155,092 text segments.
Không bao gồm audio, raw video, model cache hoặc Elasticsearch runtime. Audio không cần cho serving. Muốn phát/tua video, copy riêng 873 video vào data/source/videos; tìm kiếm và thumbnail vẫn dùng được khi chưa có raw video. Elasticsearch được dựng lại từ metadata.sqlite bằng launcher trong code repository.
Tải và cài trên Windows
hf download duyaaa/skibidifullultravip --repo-type dataset --local-dir D:\AIC-UltraVIP
powershell.exe -NoProfile -ExecutionPolicy Bypass -File D:\AIC-UltraVIP\install_windows.ps1 -DownloadRoot D:\AIC-UltraVIP -DataRoot D:\AIC-Data
Sau đó clone/pull code và làm theo mục Windows: chạy bằng artifact đã được share (không Docker) trong README của repository:
https://github.com/TrDuy-pan3000/2feet-skibidi
Đặt $DataRoot = 'D:\AIC-Data'. Launcher sẽ tự tải và xác minh Elasticsearch 8.13.0 hoặc nhận ZIP + .sha512 offline.
Kiểm tra tính toàn vẹn
install_windows.ps1 xác minh toàn bộ checksums.sha256 trước khi tạo bất kỳ thư mục đích nào. Không bỏ qua lỗi checksum, thiếu shard hoặc artifact root đã tồn tại.
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