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
schema_version: int64
id: string
name: string
source: struct<repo: string, revision: string, commit: null, selector: string>
  child 0, repo: string
  child 1, revision: string
  child 2, commit: null
  child 3, selector: string
artifacts: list<item: struct<role: string, path: string, url: string, size_bytes: int64>>
  child 0, item: struct<role: string, path: string, url: string, size_bytes: int64>
      child 0, role: string
      child 1, path: string
      child 2, url: string
      child 3, size_bytes: int64
curation: struct<description: string, draft_model_id: string>
  child 0, description: string
  child 1, draft_model_id: string
moe: null
entries: list<item: struct<id: string, name: string, path: string>>
  child 0, item: struct<id: string, name: string, path: string>
      child 0, id: string
      child 1, name: string
      child 2, path: string
to
{'schema_version': Value('int64'), 'entries': List({'id': Value('string'), 'name': Value('string'), 'path': Value('string')})}
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 289, 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 124, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              schema_version: int64
              id: string
              name: string
              source: struct<repo: string, revision: string, commit: null, selector: string>
                child 0, repo: string
                child 1, revision: string
                child 2, commit: null
                child 3, selector: string
              artifacts: list<item: struct<role: string, path: string, url: string, size_bytes: int64>>
                child 0, item: struct<role: string, path: string, url: string, size_bytes: int64>
                    child 0, role: string
                    child 1, path: string
                    child 2, url: string
                    child 3, size_bytes: int64
              curation: struct<description: string, draft_model_id: string>
                child 0, description: string
                child 1, draft_model_id: string
              moe: null
              entries: list<item: struct<id: string, name: string, path: string>>
                child 0, item: struct<id: string, name: string, path: string>
                    child 0, id: string
                    child 1, name: string
                    child 2, path: string
              to
              {'schema_version': Value('int64'), 'entries': List({'id': Value('string'), 'name': Value('string'), 'path': Value('string')})}
              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.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Recommended Models

This dataset stores curated recommended model metadata for mesh-llm.

Layout:

  • index.json
  • models/sha256-<model-id-hash>/metadata.json

The canonical model id lives in each metadata file and in index.json. Storage paths are opaque and derived from sha256(id).

Downloads last month
15