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train

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
id: string
pool: string
n_q_chunks: int64
onset_chunk: int64
no_speak: bool
answer_text: string
eot_seen: bool
n_ans_chunks: int64
carrier_ended: null
deployed_artifact: struct<file: string, train_n: int64, C: double, label_source: string, recipe: string, manifest: stru (... 73 chars omitted)
  child 0, file: string
  child 1, train_n: int64
  child 2, C: double
  child 3, label_source: string
  child 4, recipe: string
  child 5, manifest: struct<query_ids: string, features: string, labels: string>
      child 0, query_ids: string
      child 1, features: string
      child 2, labels: string
  child 6, oof_auc: double
source_commit: string
files: list<item: struct<path: string, bytes: int64, sha256: string>>
  child 0, item: struct<path: string, bytes: int64, sha256: string>
      child 0, path: string
      child 1, bytes: int64
      child 2, sha256: string
serving_config: struct<id: string, top_k: int64, duplex.force_listen_count: int64, system_prompt: string, regime: st (... 22 chars omitted)
  child 0, id: string
  child 1, top_k: int64
  child 2, duplex.force_listen_count: int64
  child 3, system_prompt: string
  child 4, regime: string
  child 5, feature: string
reconstruct: string
tags: struct<caliboff: struct<split: string, feats_shards: list<item: string>, traces_shards: list<item: s (... 2824 chars omitted)
  child 0, caliboff: struct<split: string, feats_shards: list<item: string>, traces_shards: list<item: string>, judged: s (... 131 chars omitted)
      child 0,
...
 item: string
      child 2, traces_shards: list<item: string>
          child 0, item: string
      child 3, judged: string
      child 4, n_feature_rows: int64
      child 5, n_unique_ids: int64
      child 6, dim: int64
      child 7, n_trace_rows: int64
      child 8, n_judged_rows: int64
      child 9, n_judged_labelled: int64
  child 10, sdqaoff: struct<split: string, feats_shards: list<item: string>, traces_shards: list<item: string>, judged: s (... 131 chars omitted)
      child 0, split: string
      child 1, feats_shards: list<item: string>
          child 0, item: string
      child 2, traces_shards: list<item: string>
          child 0, item: string
      child 3, judged: string
      child 4, n_feature_rows: int64
      child 5, n_unique_ids: int64
      child 6, dim: int64
      child 7, n_trace_rows: int64
      child 8, n_judged_rows: int64
      child 9, n_judged_labelled: int64
  child 11, sreasonoff: struct<split: string, feats_shards: list<item: string>, traces_shards: list<item: string>, judged: s (... 131 chars omitted)
      child 0, split: string
      child 1, feats_shards: list<item: string>
          child 0, item: string
      child 2, traces_shards: list<item: string>
          child 0, item: string
      child 3, judged: string
      child 4, n_feature_rows: int64
      child 5, n_unique_ids: int64
      child 6, dim: int64
      child 7, n_trace_rows: int64
      child 8, n_judged_rows: int64
      child 9, n_judged_labelled: int64
issue: string
to
{'issue': Value('string'), 'source_commit': Value('string'), 'serving_config': {'id': Value('string'), 'top_k': Value('int64'), 'duplex.force_listen_count': Value('int64'), 'system_prompt': Value('string'), 'regime': Value('string'), 'feature': Value('string')}, 'deployed_artifact': {'file': Value('string'), 'train_n': Value('int64'), 'C': Value('float64'), 'label_source': Value('string'), 'recipe': Value('string'), 'manifest': {'query_ids': Value('string'), 'features': Value('string'), 'labels': Value('string')}, 'oof_auc': Value('float64')}, 'reconstruct': Value('string'), 'tags': {'caliboff': {'split': Value('string'), 'feats_shards': List(Value('string')), 'traces_shards': List(Value('string')), 'judged': Value('string'), 'n_feature_rows': Value('int64'), 'n_unique_ids': Value('int64'), 'dim': Value('int64'), 'n_trace_rows': Value('int64'), 'n_judged_rows': Value('int64'), 'n_judged_labelled': Value('int64')}, 'expoff': {'split': Value('string'), 'feats_shards': List(Value('string')), 'traces_shards': List(Value('string')), 'judged': Value('string'), 'n_feature_rows': Value('int64'), 'n_unique_ids': Value('int64'), 'dim': Value('int64'), 'n_trace_rows': Value('int64'), 'n_judged_rows': Value('int64'), 'n_judged_labelled': Value('int64')}, 'exp2off': {'split': Value('string'), 'feats_shards': List(Value('string')), 'traces_shards': List(Value('string')), 'judged': Value('string'), 'n_feature_rows': Value('int64'), 'n_unique_ids': Value('int64'), 'dim': Value('int64'), 'n_t
...
: Value('int64'), 'n_judged_labelled': Value('int64')}, 'swebqoff': {'split': Value('string'), 'feats_shards': List(Value('string')), 'traces_shards': List(Value('string')), 'judged': Value('string'), 'n_feature_rows': Value('int64'), 'n_unique_ids': Value('int64'), 'dim': Value('int64'), 'n_trace_rows': Value('int64'), 'n_judged_rows': Value('int64'), 'n_judged_labelled': Value('int64')}, 'sllamaoff': {'split': Value('string'), 'feats_shards': List(Value('string')), 'traces_shards': List(Value('string')), 'judged': Value('string'), 'n_feature_rows': Value('int64'), 'n_unique_ids': Value('int64'), 'dim': Value('int64'), 'n_trace_rows': Value('int64'), 'n_judged_rows': Value('int64'), 'n_judged_labelled': Value('int64')}, 'sdqaoff': {'split': Value('string'), 'feats_shards': List(Value('string')), 'traces_shards': List(Value('string')), 'judged': Value('string'), 'n_feature_rows': Value('int64'), 'n_unique_ids': Value('int64'), 'dim': Value('int64'), 'n_trace_rows': Value('int64'), 'n_judged_rows': Value('int64'), 'n_judged_labelled': Value('int64')}, 'sreasonoff': {'split': Value('string'), 'feats_shards': List(Value('string')), 'traces_shards': List(Value('string')), 'judged': Value('string'), 'n_feature_rows': Value('int64'), 'n_unique_ids': Value('int64'), 'dim': Value('int64'), 'n_trace_rows': Value('int64'), 'n_judged_rows': Value('int64'), 'n_judged_labelled': Value('int64')}}, 'files': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')})}
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 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 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
              id: string
              pool: string
              n_q_chunks: int64
              onset_chunk: int64
              no_speak: bool
              answer_text: string
              eot_seen: bool
              n_ans_chunks: int64
              carrier_ended: null
              deployed_artifact: struct<file: string, train_n: int64, C: double, label_source: string, recipe: string, manifest: stru (... 73 chars omitted)
                child 0, file: string
                child 1, train_n: int64
                child 2, C: double
                child 3, label_source: string
                child 4, recipe: string
                child 5, manifest: struct<query_ids: string, features: string, labels: string>
                    child 0, query_ids: string
                    child 1, features: string
                    child 2, labels: string
                child 6, oof_auc: double
              source_commit: string
              files: list<item: struct<path: string, bytes: int64, sha256: string>>
                child 0, item: struct<path: string, bytes: int64, sha256: string>
                    child 0, path: string
                    child 1, bytes: int64
                    child 2, sha256: string
              serving_config: struct<id: string, top_k: int64, duplex.force_listen_count: int64, system_prompt: string, regime: st (... 22 chars omitted)
                child 0, id: string
                child 1, top_k: int64
                child 2, duplex.force_listen_count: int64
                child 3, system_prompt: string
                child 4, regime: string
                child 5, feature: string
              reconstruct: string
              tags: struct<caliboff: struct<split: string, feats_shards: list<item: string>, traces_shards: list<item: s (... 2824 chars omitted)
                child 0, caliboff: struct<split: string, feats_shards: list<item: string>, traces_shards: list<item: string>, judged: s (... 131 chars omitted)
                    child 0,
              ...
               item: string
                    child 2, traces_shards: list<item: string>
                        child 0, item: string
                    child 3, judged: string
                    child 4, n_feature_rows: int64
                    child 5, n_unique_ids: int64
                    child 6, dim: int64
                    child 7, n_trace_rows: int64
                    child 8, n_judged_rows: int64
                    child 9, n_judged_labelled: int64
                child 10, sdqaoff: struct<split: string, feats_shards: list<item: string>, traces_shards: list<item: string>, judged: s (... 131 chars omitted)
                    child 0, split: string
                    child 1, feats_shards: list<item: string>
                        child 0, item: string
                    child 2, traces_shards: list<item: string>
                        child 0, item: string
                    child 3, judged: string
                    child 4, n_feature_rows: int64
                    child 5, n_unique_ids: int64
                    child 6, dim: int64
                    child 7, n_trace_rows: int64
                    child 8, n_judged_rows: int64
                    child 9, n_judged_labelled: int64
                child 11, sreasonoff: struct<split: string, feats_shards: list<item: string>, traces_shards: list<item: string>, judged: s (... 131 chars omitted)
                    child 0, split: string
                    child 1, feats_shards: list<item: string>
                        child 0, item: string
                    child 2, traces_shards: list<item: string>
                        child 0, item: string
                    child 3, judged: string
                    child 4, n_feature_rows: int64
                    child 5, n_unique_ids: int64
                    child 6, dim: int64
                    child 7, n_trace_rows: int64
                    child 8, n_judged_rows: int64
                    child 9, n_judged_labelled: int64
              issue: string
              to
              {'issue': Value('string'), 'source_commit': Value('string'), 'serving_config': {'id': Value('string'), 'top_k': Value('int64'), 'duplex.force_listen_count': Value('int64'), 'system_prompt': Value('string'), 'regime': Value('string'), 'feature': Value('string')}, 'deployed_artifact': {'file': Value('string'), 'train_n': Value('int64'), 'C': Value('float64'), 'label_source': Value('string'), 'recipe': Value('string'), 'manifest': {'query_ids': Value('string'), 'features': Value('string'), 'labels': Value('string')}, 'oof_auc': Value('float64')}, 'reconstruct': Value('string'), 'tags': {'caliboff': {'split': Value('string'), 'feats_shards': List(Value('string')), 'traces_shards': List(Value('string')), 'judged': Value('string'), 'n_feature_rows': Value('int64'), 'n_unique_ids': Value('int64'), 'dim': Value('int64'), 'n_trace_rows': Value('int64'), 'n_judged_rows': Value('int64'), 'n_judged_labelled': Value('int64')}, 'expoff': {'split': Value('string'), 'feats_shards': List(Value('string')), 'traces_shards': List(Value('string')), 'judged': Value('string'), 'n_feature_rows': Value('int64'), 'n_unique_ids': Value('int64'), 'dim': Value('int64'), 'n_trace_rows': Value('int64'), 'n_judged_rows': Value('int64'), 'n_judged_labelled': Value('int64')}, 'exp2off': {'split': Value('string'), 'feats_shards': List(Value('string')), 'traces_shards': List(Value('string')), 'judged': Value('string'), 'n_feature_rows': Value('int64'), 'n_unique_ids': Value('int64'), 'dim': Value('int64'), 'n_t
              ...
              : Value('int64'), 'n_judged_labelled': Value('int64')}, 'swebqoff': {'split': Value('string'), 'feats_shards': List(Value('string')), 'traces_shards': List(Value('string')), 'judged': Value('string'), 'n_feature_rows': Value('int64'), 'n_unique_ids': Value('int64'), 'dim': Value('int64'), 'n_trace_rows': Value('int64'), 'n_judged_rows': Value('int64'), 'n_judged_labelled': Value('int64')}, 'sllamaoff': {'split': Value('string'), 'feats_shards': List(Value('string')), 'traces_shards': List(Value('string')), 'judged': Value('string'), 'n_feature_rows': Value('int64'), 'n_unique_ids': Value('int64'), 'dim': Value('int64'), 'n_trace_rows': Value('int64'), 'n_judged_rows': Value('int64'), 'n_judged_labelled': Value('int64')}, 'sdqaoff': {'split': Value('string'), 'feats_shards': List(Value('string')), 'traces_shards': List(Value('string')), 'judged': Value('string'), 'n_feature_rows': Value('int64'), 'n_unique_ids': Value('int64'), 'dim': Value('int64'), 'n_trace_rows': Value('int64'), 'n_judged_rows': Value('int64'), 'n_judged_labelled': Value('int64')}, 'sreasonoff': {'split': Value('string'), 'feats_shards': List(Value('string')), 'traces_shards': List(Value('string')), 'judged': Value('string'), 'n_feature_rows': Value('int64'), 'n_unique_ids': Value('int64'), 'dim': Value('int64'), 'n_trace_rows': Value('int64'), 'n_judged_rows': Value('int64'), 'n_judged_labelled': Value('int64')}}, 'files': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')})}
              because column names don't match

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Official-native gate training/eval bundle for issue #8 (deployed gate_native.json, 8bq recipe, train_n=5228).

Contents (official_native_bundle.zip, 187 files, unpacks to official_native_bundle/data/):

Training tags caliboff, expoff, exp2off, exp3off, exp3zhoff, freshoff: frozen_native_<tag>_feats.shard*.npz (ids + 12288-d float32 X), frozen_native_<tag>_traces.jsonl.shard* (official-native answer_text, no_speak, eot_seen, n_ans_chunks), frozen_native_<tag>_judged.parquet (id, query, reference_answer, answer, adequate, judge_reason, escalate_label).
Eval tags testoff, striviaqaoff, swebqoff, sllamaoff, sdqaoff, sreasonoff: same three file kinds.
Label/metadata files scripts/31 reads: calib_features.parquet, expansion{,2,3,3zh}_labels.parquet, fresh_labels.parquet, frozen_v3_traces.parquet; query files queries*.jsonl for every pool above; the deployed gate_native.json.
MANIFEST.json: per-tag row counts / dim / shard paths, per-file sha256, serving-config identifier (official_cfg: top_k=20, force_listen_count=3, system prompt "You are a friendly assistant."), source commit. SHA256SUMS: sha256sum -c format.

Verified from a clean extraction: sha256sum -c SHA256SUMS passes; scripts/31_official_refit_labels.py --source native --dry reconstructs train 5228 (core 4986 + fresh 242), OOF AUC 0.848, thresholds identical to the deployed artifact.

Built at commit 03bf0e4 by scripts/32_export_official_bundle.py. No credentials included.

Downloads last month: 53

Total file size:

497 MB