Dataset Viewer
Duplicate
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
clocks: list<item: struct<peer_id: int64, clock_id: int64, current_tick: int64, token: double>>
  child 0, item: struct<peer_id: int64, clock_id: int64, current_tick: int64, token: double>
      child 0, peer_id: int64
      child 1, clock_id: int64
      child 2, current_tick: int64
      child 3, token: double
to
{}
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 464, in __iter__
                  yield from self.ex_iterable
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 363, in __iter__
                  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 295, 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
              clocks: list<item: struct<peer_id: int64, clock_id: int64, current_tick: int64, token: double>>
                child 0, item: struct<peer_id: int64, clock_id: int64, current_tick: int64, token: double>
                    child 0, peer_id: int64
                    child 1, clock_id: int64
                    child 2, current_tick: int64
                    child 3, token: double
              to
              {}
              because column names don't match

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.

WideSeek-R1 Corpus

To train WideSeek-R1 efficiently, we deployed a suite of local search tools that the model can use during training.

This repository includes three components:

  • wiki_corpus.jsonl: Serves as the model’s Search tool. Given a query, it returns the most relevant snippets.
  • wiki_webpages.jsonl: Serves as the model’s Access tool. Given a specific URL, it returns the full webpage content.
  • qdrant/: A local Qdrant vector database built by embedding wiki_corpus.jsonl. It enables efficient retrieval and acts as the core backend for the Search tool.

Both wiki_corpus.jsonl and wiki_webpages.jsonl are sourced from the ASearcher-Local-Knowledge dataset.

Downloads last month
48