Datasets:

AnchorSR
/

AnchorSR_TrainingData

Error code:   StreamingRowsError
Exception:    ValueError
Message:      Expected object or value
Traceback:    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 281, in _generate_tables
                  examples = [ujson_loads(line) for line in batch.splitlines()]
                              ~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value

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AnchorSR

AnchorSR v3 is the current coordinate-grounded release. Historical v2.5 and v2.6 files remain under v2_5/ and v2_6/; this publication does not overwrite or delete them.

v3 layout

v3/: prompt-v1 SFT/RL handoff using the frozen v3 coordinate syntax.
v3_rl_schema5/: formal EasyR1 schema-5 train/validation records.
sidecar_v3_full_video_bbox_v1.tar.gz: full-frame coordinate Sidecar-v3 bundle. Verify its SHA-256 from upload_manifest.json, then extract it once before training; the inner .jsonl.gz files are read directly by the code.
v3_eval_fixed100/: frozen balanced epoch-1 object-binding evaluation cohort.
media_shards/: unchanged shared image/video shards from the prior release.

The v3 handoff contains 32,000 SFT train, 112,000 reserved RL, 8,000 validation, and 8,000 test rows. The fixed evaluation cohort contains 20 single-image, 15 multi-image, 40 single-video, and 25 multi-video cases. Video frame IDs are one-based positions in the fixed 16-frame model input, not original-video frame numbers.

hf download GuangsTrip/AnchorSR --repo-type dataset --local-dir /path/to/AnchorSR
python /path/to/AnchorSR/extract_media.py --repo-dir /path/to/AnchorSR
tar -xzf /path/to/AnchorSR/sidecar_v3_full_video_bbox_v1.tar.gz -C /path/to/AnchorSR

Verify upload_manifest.json and release-specific manifests before use. The schema-5 RL artifacts are a delivery package; RL training is not launched by this repository.

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Models trained or fine-tuned on AnchorSR/AnchorSR_TrainingData