Datasets:

---

Mercury7353

/

osworld-tutorial-rag

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
task_id: string
category: string
instruction: string
task_source: string
search_query: string
rank: int64
title: string
url: string
domain: string
snippet: string
serper_source: string
fetch: struct<ok: bool, method: string, status_code: int64, final_url: string, error: null, fetched_at_unix (... 8 chars omitted)
  child 0, ok: bool
  child 1, method: string
  child 2, status_code: int64
  child 3, final_url: string
  child 4, error: null
  child 5, fetched_at_unix: int64
paths: struct<article_markdown: string, meta_json: string, serper_result_json: string, firecrawl_raw_json:  (... 26 chars omitted)
  child 0, article_markdown: string
  child 1, meta_json: string
  child 2, serper_result_json: string
  child 3, firecrawl_raw_json: null
  child 4, images_json: string
content: struct<word_count: int64, sha256: string>
  child 0, word_count: int64
  child 1, sha256: string
images: struct<extracted_count: int64, downloaded_count: int64, failed_count: int64>
  child 0, extracted_count: int64
  child 1, downloaded_count: int64
  child 2, failed_count: int64
downloaded: list<item: null>
  child 0, item: null
failed_count: int64
pruned: list<item: null>
  child 0, item: null
downloaded_count: int64
extracted_count: int64
pruned_count: int64
failed: list<item: null>
  child 0, item: null
to
{'extracted_count': Value('int64'), 'downloaded_count': Value('int64'), 'failed_count': Value('int64'), 'downloaded': List(Value('null')), 'failed': List(Value('null')), 'pruned': List(Value('null')), 'pruned_count': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              task_id: string
              category: string
              instruction: string
              task_source: string
              search_query: string
              rank: int64
              title: string
              url: string
              domain: string
              snippet: string
              serper_source: string
              fetch: struct<ok: bool, method: string, status_code: int64, final_url: string, error: null, fetched_at_unix (... 8 chars omitted)
                child 0, ok: bool
                child 1, method: string
                child 2, status_code: int64
                child 3, final_url: string
                child 4, error: null
                child 5, fetched_at_unix: int64
              paths: struct<article_markdown: string, meta_json: string, serper_result_json: string, firecrawl_raw_json:  (... 26 chars omitted)
                child 0, article_markdown: string
                child 1, meta_json: string
                child 2, serper_result_json: string
                child 3, firecrawl_raw_json: null
                child 4, images_json: string
              content: struct<word_count: int64, sha256: string>
                child 0, word_count: int64
                child 1, sha256: string
              images: struct<extracted_count: int64, downloaded_count: int64, failed_count: int64>
                child 0, extracted_count: int64
                child 1, downloaded_count: int64
                child 2, failed_count: int64
              downloaded: list<item: null>
                child 0, item: null
              failed_count: int64
              pruned: list<item: null>
                child 0, item: null
              downloaded_count: int64
              extracted_count: int64
              pruned_count: int64
              failed: list<item: null>
                child 0, item: null
              to
              {'extracted_count': Value('int64'), 'downloaded_count': Value('int64'), 'failed_count': Value('int64'), 'downloaded': List(Value('null')), 'failed': List(Value('null')), 'pruned': List(Value('null')), 'pruned_count': Value('int64')}
              because column names don't match