Datasets:
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 7d6fa5c7-a206-4b36-889b-44bed72b0cc8_330 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: Missing a name for object member. 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 4795, in pyarrow.lib.Table.from_pandas
File "/usr/local/lib/python3.14/site-packages/pyarrow/pandas_compat.py", line 640, in dataframe_to_arrays
arrays = [convert_column(c, f)
~~~~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/pyarrow/pandas_compat.py", line 628, in convert_column
raise e
File "/usr/local/lib/python3.14/site-packages/pyarrow/pandas_compat.py", line 622, 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 7d6fa5c7-a206-4b36-889b-44bed72b0cc8_330 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.
V2-SAM Ego2Exo/Exo2Ego FullTrain image closure
Research repack for the V2-SAM Ego2Exo and Exo2Ego training pipelines. It contains the two FullTrain annotations and exactly the JPEG union referenced by them.
This card documents packaging integrity; it does not grant additional rights to the source data. Users remain responsible for complying with the underlying Ego-Exo4D terms and any redistribution requirements.
Why this repack exists
The earlier local Ego-Exo4D-Relation-Train-Mini extraction was not a proven
closure of both training directions. Auditing the union of the two FullTrain
JSON files found 6,431 referenced paths missing before repair. Training with
that snapshot could fail late, silently omit samples in ad-hoc loaders, or
make Ego2Exo and Exo2Ego experiments use different image coverage.
This repack fixes the data artifact rather than changing annotations:
- both official FullTrain JSONs are included unchanged;
- referenced image paths are de-duplicated across both directions;
- every referenced JPEG is present in the final image root;
- every final JPEG passed the image-readability check;
- files are split into independent standard tar archives;
- file counts, byte sizes, SHA256 hashes, and repair provenance are retained.
Verified closure
| Item | Verified value |
|---|---|
| Ego2Exo records | 110,118 |
| Ego2Exo unique referenced images | 220,236 |
| Exo2Ego records | 123,381 |
| Exo2Ego unique referenced images | 246,762 |
| Union referenced JPEGs | 249,642 |
| Missing before repair | 6,431 |
| Missing after repair | 0 |
| Unreadable JPEGs after repair | 0 |
| Episode groups | 754 |
| Tar shards | 4 |
The two annotation files retain these identities:
| File | SHA256 |
|---|---|
Ego2Exo_FullTrain.json |
bb83cac92179b21833d2465ce29d5b0cf81668d8443d569279313c891472175a |
Exo2Ego_FullTrain.json |
212e7291990453b087f91dd848dd8a8a8f11a7a0a110fb257be760ca9c8c3058 |
provenance/final_closure.json is the authoritative closure report.
provenance/repair_receipt.json records the repair audit. Its
already_present_count=6431 means the final repair rerun found all previously
missing paths already restored; it is not a claim that no repair had been
needed.
Repository layout
.
├── MANIFEST.json
├── SHA256SUMS
├── README.md
├── data/
│ ├── data_segswap-00000.tar
│ ├── data_segswap-00001.tar
│ ├── data_segswap-00002.tar
│ └── data_segswap-00003.tar
├── json/Ego-Exo4D-Seg/frame-level/
│ ├── Ego2Exo_FullTrain.json
│ └── Exo2Ego_FullTrain.json
└── provenance/
├── final_closure.json
└── repair_receipt.json
Each data/*.tar is independently readable. Extract all four into the same
destination so their path trees merge.
Download, verify, and extract
Authenticate with an account that can read this private dataset:
hf download Travor278/V2SAM-EgoExo-Train-Mini-Complete \
--repo-type dataset \
--local-dir V2SAM-EgoExo-Train-Mini-Complete
cd V2SAM-EgoExo-Train-Mini-Complete
sha256sum -c SHA256SUMS
mkdir -p extracted
for shard in data/data_segswap-*.tar; do
tar -xf "$shard" -C extracted
done
Point the V2-SAM dataset sam2_folder at the extracted image tree and select
the matching JSON for the desired direction:
- Ego2Exo:
json/Ego-Exo4D-Seg/frame-level/Ego2Exo_FullTrain.json - Exo2Ego:
json/Ego-Exo4D-Seg/frame-level/Exo2Ego_FullTrain.json
Do not concatenate the JSONs unless the training code explicitly implements a mixed-direction dataset contract.
Integrity files
MANIFEST.json: shard counts, sizes, hashes, JSON identities, and closure report identities.SHA256SUMS: command-line integrity verification for every payload and metadata file in this repository.provenance/final_closure.json: before/after missing counts and JPEG audit.provenance/repair_receipt.json: source archive and repair-run evidence.
The repository is complete only when all SHA256 checks pass and the closure
report has ready=true, post_repair_missing_count=0, and
post_repair_bad_jpeg_count=0.
- Downloads last month
- 27