The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 33, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1380, in _iter_from_urlpath
yield from cls._iter_tar(f)
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1331, in _iter_tar
stream = tarfile.open(fileobj=f, mode="r|*")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 1886, in open
t = cls(name, filemode, stream, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 1762, in __init__
self.firstmember = self.next()
^^^^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 2756, in next
raise ReadError(str(e)) from None
tarfile.ReadError: truncated header
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 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/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.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
eval3_track3_vl_pairs_v2
ObjectVLA-style vision-language co-training data for the Track 3 TOY 3-celeb Eval 3 task. v2 fixes two bugs in v1:
- Oriented quad instead of axis-aligned xyxy. Tilted portraits no longer bloat the box with non-portrait area.
- ArcFace-verified labels. Each portrait's label is confirmed by ArcFace against precomputed Swift/Obama/LeCun prototypes; mismatches with the layout-string derivation are recorded and corrected.
Companion to HBOrtiz/so101_eval3_track3_v3_baseline.
Contents
manifest.parquet— VL pair rows (one per portrait per caption type).data.tar.zst— compressed archive withimages/chunk-*/wrist-cam JPEGs andreferences/*.jpgreference photos. Extract withtar --zstd -xf data.tar.zst._stats.json— dataset statistics.
Schema (new columns vs v1)
| column | type | meaning |
|---|---|---|
quad_corners_norm |
list[4][2] | NEW — 4 (x, y) corners of the printed paper in wrist-cam coords (normalized). The primary geometric ground truth for KLAL polygon targets. |
bbox_xyxy_norm |
list[4] | Axis-aligned bbox derived from the quad — for PaliGemma <loc> token compat. Loose for tilted portraits. |
celeb_name |
str | PRIMARY identity label (ArcFace-verified, falls back to derived if face not detected) |
derived_celeb_name |
str | NEW — re-derived label from layout-string logic (kept for analysis) |
verification_ok |
bool | NEW — True iff ArcFace agreed with derived (and score ≥ 0.30) |
verification_score |
float | NEW — ArcFace cosine to best-match prototype |
Other columns same as v1 (image_path, reference_image_path, prompt, target, bbox_refit_ok, celeb_slug, caption_type, episode, episode_index, frame_idx, pid).
Bbox geometry: oriented quad vs axis-aligned bbox
For a tilted printed portrait (40° rotation example), the axis-aligned xyxy box bloats by ~40-50%. The 4-corner quad describes the actual rotated rectangle.
For KLAL attention-target maps, build them from quad_corners_norm (use as a polygon mask).
For PaliGemma <loc> token prompts that need axis-aligned coords, use bbox_xyxy_norm.
ArcFace verification
For each portrait, the script perspective-warps the 4-corner quad to a 320×320 crop, runs InsightFace + ArcFace, and matches to precomputed Swift/Obama/LeCun prototypes (10 photos per celeb from the scraped bank, L2-normalized mean embedding).
Three outcomes per portrait:
verification_ok=True: ArcFace best-match equals derived AND score ≥ 0.30. Label trusted.verification_ok=False, verification_score > 0: ArcFace disagreed with derivation.celeb_nameuses ArcFace's verdict.verification_score=0: No face detected in crop.celeb_namefalls back to derived.
Filter at training time with df.query("verification_ok") if you want only high-confidence pairs.
Stats
See _stats.json.
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