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eval_vlm_results

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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
queries: int64
answered: int64
scores: struct<queries: int64, answered: int64, visible_queries: int64, d_1: double, d_2: double, d_4: doubl (... 68 chars omitted)
  child 0, queries: int64
  child 1, answered: int64
  child 2, visible_queries: int64
  child 3, d_1: double
  child 4, d_2: double
  child 5, d_4: double
  child 6, d_8: double
  child 7, d_16: double
  child 8, d_avg: double
  child 9, aj: double
  child 10, oa: double
scores_position_only: struct<queries: int64, answered: int64, visible_queries: int64, d_1: double, d_2: double, d_4: doubl (... 68 chars omitted)
  child 0, queries: int64
  child 1, answered: int64
  child 2, visible_queries: int64
  child 3, d_1: double
  child 4, d_2: double
  child 5, d_4: double
  child 6, d_8: double
  child 7, d_16: double
  child 8, d_avg: double
  child 9, aj: double
  child 10, oa: double
by_category: struct<animals_nature: struct<queries: int64, answered: int64, visible_queries: int64, d_1: double,  (... 1229 chars omitted)
  child 0, animals_nature: struct<queries: int64, answered: int64, visible_queries: int64, d_1: double, d_2: double, d_4: doubl (... 68 chars omitted)
      child 0, queries: int64
      child 1, answered: int64
      child 2, visible_queries: int64
      child 3, d_1: double
      child 4, d_2: double
      child 5, d_4: double
      child 6, d_8: double
      child 7, d_16: double
      child 8, d_avg: double
      child 9, aj: double
      child 10, oa: double
  child 1, biomedical_scenes: struct<q
...
, d_8: double
      child 7, d_16: double
      child 8, d_avg: double
      child 9, aj: double
      child 10, oa: double
  child 3, 31-60: struct<queries: int64, answered: int64, visible_queries: int64, d_1: double, d_2: double, d_4: doubl (... 68 chars omitted)
      child 0, queries: int64
      child 1, answered: int64
      child 2, visible_queries: int64
      child 3, d_1: double
      child 4, d_2: double
      child 5, d_4: double
      child 6, d_8: double
      child 7, d_16: double
      child 8, d_avg: double
      child 9, aj: double
      child 10, oa: double
  child 4, 61-120: struct<queries: int64, answered: int64, visible_queries: int64, d_1: double, d_2: double, d_4: doubl (... 68 chars omitted)
      child 0, queries: int64
      child 1, answered: int64
      child 2, visible_queries: int64
      child 3, d_1: double
      child 4, d_2: double
      child 5, d_4: double
      child 6, d_8: double
      child 7, d_16: double
      child 8, d_avg: double
      child 9, aj: double
      child 10, oa: double
  child 5, 121+: struct<queries: int64, answered: int64, visible_queries: int64, d_1: double, d_2: double, d_4: doubl (... 68 chars omitted)
      child 0, queries: int64
      child 1, answered: int64
      child 2, visible_queries: int64
      child 3, d_1: double
      child 4, d_2: double
      child 5, d_4: double
      child 6, d_8: double
      child 7, d_16: double
      child 8, d_avg: double
      child 9, aj: double
      child 10, oa: double
to
{'samples': Value('int64'), 'evaluation_items': Value('int64'), 'answered': Value('int64'), 'failed_samples': Value('int64'), 'missing_predictions': Value('int64'), 'calls': Value('int64'), 'response_records': Value('int64'), 'superseded_records': Value('int64'), 'wall_seconds': Value('float64'), 'calls_with_usage': Value('int64'), 'usage': {'input_tokens': Value('int64'), 'output_tokens': Value('int64'), 'reasoning_tokens': Value('int64')}, 'scores': {'queries': Value('int64'), 'answered': Value('int64'), 'visible_queries': Value('int64'), 'd_1': Value('float64'), 'd_2': Value('float64'), 'd_4': Value('float64'), 'd_8': Value('float64'), 'd_16': Value('float64'), 'd_avg': Value('float64'), 'aj': Value('float64'), 'oa': Value('float64')}, 'by_dataset': {'drivetrack': {'queries': Value('int64'), 'answered': Value('int64'), 'visible_queries': Value('int64'), 'd_1': Value('float64'), 'd_2': Value('float64'), 'd_4': Value('float64'), 'd_8': Value('float64'), 'd_16': Value('float64'), 'd_avg': Value('float64'), 'aj': Value('float64'), 'oa': Value('float64')}, 'drivtap': {'queries': Value('int64'), 'answered': Value('int64'), 'visible_queries': Value('int64'), 'd_1': Value('float64'), 'd_2': Value('float64'), 'd_4': Value('float64'), 'd_8': Value('float64'), 'd_16': Value('float64'), 'd_avg': Value('float64'), 'aj': Value('float64'), 'oa': Value('float64')}, 'egopoints': {'queries': Value('int64'), 'answered': Value('int64'), 'visible_queries': Value('int64'), 'd_1': Value('float64
...
'queries': Value('int64'), 'answered': Value('int64'), 'visible_queries': Value('int64'), 'd_1': Value('float64'), 'd_2': Value('float64'), 'd_4': Value('float64'), 'd_8': Value('float64'), 'd_16': Value('float64'), 'd_avg': Value('float64'), 'aj': Value('float64'), 'oa': Value('float64')}, '16-30': {'queries': Value('int64'), 'answered': Value('int64'), 'visible_queries': Value('int64'), 'd_1': Value('float64'), 'd_2': Value('float64'), 'd_4': Value('float64'), 'd_8': Value('float64'), 'd_16': Value('float64'), 'd_avg': Value('float64'), 'aj': Value('float64'), 'oa': Value('float64')}, '31-60': {'queries': Value('int64'), 'answered': Value('int64'), 'visible_queries': Value('int64'), 'd_1': Value('float64'), 'd_2': Value('float64'), 'd_4': Value('float64'), 'd_8': Value('float64'), 'd_16': Value('float64'), 'd_avg': Value('float64'), 'aj': Value('float64'), 'oa': Value('float64')}, '61-120': {'queries': Value('int64'), 'answered': Value('int64'), 'visible_queries': Value('int64'), 'd_1': Value('float64'), 'd_2': Value('float64'), 'd_4': Value('float64'), 'd_8': Value('float64'), 'd_16': Value('float64'), 'd_avg': Value('float64'), 'aj': Value('float64'), 'oa': Value('float64')}, '121+': {'queries': Value('int64'), 'answered': Value('int64'), 'visible_queries': Value('int64'), 'd_1': Value('float64'), 'd_2': Value('float64'), 'd_4': Value('float64'), 'd_8': Value('float64'), 'd_16': Value('float64'), 'd_avg': Value('float64'), 'aj': Value('float64'), 'oa': Value('float64')}}}
because column names don't match
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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              queries: int64
              answered: int64
              scores: struct<queries: int64, answered: int64, visible_queries: int64, d_1: double, d_2: double, d_4: doubl (... 68 chars omitted)
                child 0, queries: int64
                child 1, answered: int64
                child 2, visible_queries: int64
                child 3, d_1: double
                child 4, d_2: double
                child 5, d_4: double
                child 6, d_8: double
                child 7, d_16: double
                child 8, d_avg: double
                child 9, aj: double
                child 10, oa: double
              scores_position_only: struct<queries: int64, answered: int64, visible_queries: int64, d_1: double, d_2: double, d_4: doubl (... 68 chars omitted)
                child 0, queries: int64
                child 1, answered: int64
                child 2, visible_queries: int64
                child 3, d_1: double
                child 4, d_2: double
                child 5, d_4: double
                child 6, d_8: double
                child 7, d_16: double
                child 8, d_avg: double
                child 9, aj: double
                child 10, oa: double
              by_category: struct<animals_nature: struct<queries: int64, answered: int64, visible_queries: int64, d_1: double,  (... 1229 chars omitted)
                child 0, animals_nature: struct<queries: int64, answered: int64, visible_queries: int64, d_1: double, d_2: double, d_4: doubl (... 68 chars omitted)
                    child 0, queries: int64
                    child 1, answered: int64
                    child 2, visible_queries: int64
                    child 3, d_1: double
                    child 4, d_2: double
                    child 5, d_4: double
                    child 6, d_8: double
                    child 7, d_16: double
                    child 8, d_avg: double
                    child 9, aj: double
                    child 10, oa: double
                child 1, biomedical_scenes: struct<q
              ...
              , d_8: double
                    child 7, d_16: double
                    child 8, d_avg: double
                    child 9, aj: double
                    child 10, oa: double
                child 3, 31-60: struct<queries: int64, answered: int64, visible_queries: int64, d_1: double, d_2: double, d_4: doubl (... 68 chars omitted)
                    child 0, queries: int64
                    child 1, answered: int64
                    child 2, visible_queries: int64
                    child 3, d_1: double
                    child 4, d_2: double
                    child 5, d_4: double
                    child 6, d_8: double
                    child 7, d_16: double
                    child 8, d_avg: double
                    child 9, aj: double
                    child 10, oa: double
                child 4, 61-120: struct<queries: int64, answered: int64, visible_queries: int64, d_1: double, d_2: double, d_4: doubl (... 68 chars omitted)
                    child 0, queries: int64
                    child 1, answered: int64
                    child 2, visible_queries: int64
                    child 3, d_1: double
                    child 4, d_2: double
                    child 5, d_4: double
                    child 6, d_8: double
                    child 7, d_16: double
                    child 8, d_avg: double
                    child 9, aj: double
                    child 10, oa: double
                child 5, 121+: struct<queries: int64, answered: int64, visible_queries: int64, d_1: double, d_2: double, d_4: doubl (... 68 chars omitted)
                    child 0, queries: int64
                    child 1, answered: int64
                    child 2, visible_queries: int64
                    child 3, d_1: double
                    child 4, d_2: double
                    child 5, d_4: double
                    child 6, d_8: double
                    child 7, d_16: double
                    child 8, d_avg: double
                    child 9, aj: double
                    child 10, oa: double
              to
              {'samples': Value('int64'), 'evaluation_items': Value('int64'), 'answered': Value('int64'), 'failed_samples': Value('int64'), 'missing_predictions': Value('int64'), 'calls': Value('int64'), 'response_records': Value('int64'), 'superseded_records': Value('int64'), 'wall_seconds': Value('float64'), 'calls_with_usage': Value('int64'), 'usage': {'input_tokens': Value('int64'), 'output_tokens': Value('int64'), 'reasoning_tokens': Value('int64')}, 'scores': {'queries': Value('int64'), 'answered': Value('int64'), 'visible_queries': Value('int64'), 'd_1': Value('float64'), 'd_2': Value('float64'), 'd_4': Value('float64'), 'd_8': Value('float64'), 'd_16': Value('float64'), 'd_avg': Value('float64'), 'aj': Value('float64'), 'oa': Value('float64')}, 'by_dataset': {'drivetrack': {'queries': Value('int64'), 'answered': Value('int64'), 'visible_queries': Value('int64'), 'd_1': Value('float64'), 'd_2': Value('float64'), 'd_4': Value('float64'), 'd_8': Value('float64'), 'd_16': Value('float64'), 'd_avg': Value('float64'), 'aj': Value('float64'), 'oa': Value('float64')}, 'drivtap': {'queries': Value('int64'), 'answered': Value('int64'), 'visible_queries': Value('int64'), 'd_1': Value('float64'), 'd_2': Value('float64'), 'd_4': Value('float64'), 'd_8': Value('float64'), 'd_16': Value('float64'), 'd_avg': Value('float64'), 'aj': Value('float64'), 'oa': Value('float64')}, 'egopoints': {'queries': Value('int64'), 'answered': Value('int64'), 'visible_queries': Value('int64'), 'd_1': Value('float64
              ...
              'queries': Value('int64'), 'answered': Value('int64'), 'visible_queries': Value('int64'), 'd_1': Value('float64'), 'd_2': Value('float64'), 'd_4': Value('float64'), 'd_8': Value('float64'), 'd_16': Value('float64'), 'd_avg': Value('float64'), 'aj': Value('float64'), 'oa': Value('float64')}, '16-30': {'queries': Value('int64'), 'answered': Value('int64'), 'visible_queries': Value('int64'), 'd_1': Value('float64'), 'd_2': Value('float64'), 'd_4': Value('float64'), 'd_8': Value('float64'), 'd_16': Value('float64'), 'd_avg': Value('float64'), 'aj': Value('float64'), 'oa': Value('float64')}, '31-60': {'queries': Value('int64'), 'answered': Value('int64'), 'visible_queries': Value('int64'), 'd_1': Value('float64'), 'd_2': Value('float64'), 'd_4': Value('float64'), 'd_8': Value('float64'), 'd_16': Value('float64'), 'd_avg': Value('float64'), 'aj': Value('float64'), 'oa': Value('float64')}, '61-120': {'queries': Value('int64'), 'answered': Value('int64'), 'visible_queries': Value('int64'), 'd_1': Value('float64'), 'd_2': Value('float64'), 'd_4': Value('float64'), 'd_8': Value('float64'), 'd_16': Value('float64'), 'd_avg': Value('float64'), 'aj': Value('float64'), 'oa': Value('float64')}, '121+': {'queries': Value('int64'), 'answered': Value('int64'), 'visible_queries': Value('int64'), 'd_1': Value('float64'), 'd_2': Value('float64'), 'd_4': Value('float64'), 'd_8': Value('float64'), 'd_16': Value('float64'), 'd_avg': Value('float64'), 'aj': Value('float64'), 'oa': Value('float64')}}}
              because column names don't match

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eval_vlm_results

Model outputs and scores of vision-language models on the 2Infinity Lab point-correspondence benchmark (2inf/tracking_bench_vlm). One folder per (benchmark release, model, prompt); each holds the scores (metrics.json), the parsed answers (predictions.jsonl), the raw model replies (responses.jsonl), the configuration as run (resolved.yaml) and a README with the setting and the score tables.

Results on benchmark_312 (frozen release releases/benchmark_312_chen_v1, 312 clips, 14,896 requests)

folder model prompt / harness d_avg AJ OA
benchmark_312/qwen3.8-27b-fp8_twostep_single Qwen3.8-27B-FP8 twostep_single, one call, no thinking 24.16 13.52 78.31
benchmark_312/qwen3.8-27b-fp8_chen_v1_think_xhigh_zoom Qwen3.8-27B-FP8 thinking xhigh + Muse zoom (multi-call) 33.91 20.92 77.87
benchmark_312/qwen3.8-27b-fp8_chen_v1_think_medium_zoom Qwen3.8-27B-FP8 thinking medium + Muse zoom (multi-call) 29.38 17.15 78.60
benchmark_312/qwen3.8-27b-fp8_chen_v1_think_low_zoom Qwen3.8-27B-FP8 thinking low + Muse zoom (multi-call) 28.60 16.73 78.63
benchmark_312/qwen3.8-27b-fp8_chen_v1_think_xhigh Qwen3.8-27B-FP8 thinking xhigh, one call 25.81 15.53 76.46
benchmark_312/qwen3.8-27b-fp8_chen_v1_think_medium Qwen3.8-27B-FP8 thinking medium, one call 21.00 11.91 78.10
benchmark_312/qwen3.8-27b-fp8_chen_v1_think_low Qwen3.8-27B-FP8 thinking low, one call 21.01 11.96 77.81
benchmark_312/qwen3.8-flash-next-fp8_tsdsl_v3 Qwen3.8-Flash-Next-FP8 tsdsl_v3 (per-model prompt), one call, no thinking 22.21 12.89 77.39
benchmark_312/qwen3.5-122b-a10b-fp8_tsd_still_landmark Qwen3.5-122B-A10B-FP8 tsd_still_landmark, one call, no thinking 16.32 8.74 78.42
benchmark_312/deepseek-v4.1-flash_tsd_still_landmark DeepSeek-V4.1-Flash tsd_still_landmark, one call, chat mode 16.24 8.95 76.95

Metrics follow TAP-Vid: offsets are scaled to a 256 x 256 image; d_avg is the mean share of visible targets within 1, 2, 4, 8 and 16 px; AJ is the average Jaccard over the same thresholds; OA is the occlusion accuracy.
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