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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
name: string
publisher: string
license: string
version: timestamp[s]
models: list<item: struct<id: string, slug: string, provider: string, display_name: string, family: string,  (... 1964 chars omitted)
  child 0, item: struct<id: string, slug: string, provider: string, display_name: string, family: string, status: str (... 1952 chars omitted)
      child 0, id: string
      child 1, slug: string
      child 2, provider: string
      child 3, display_name: string
      child 4, family: string
      child 5, status: string
      child 6, announced_date: timestamp[s]
      child 7, deprecation_date: timestamp[s]
      child 8, shutdown_date: timestamp[s]
      child 9, shutdown_date_kind: string
      child 10, region_or_platform_notes: string
      child 11, replacements: list<item: struct<model_id: string, provider: string, kind: string, source_url: string>>
          child 0, item: struct<model_id: string, provider: string, kind: string, source_url: string>
              child 0, model_id: string
              child 1, provider: string
              child 2, kind: string
              child 3, source_url: string
      child 12, sources: list<item: struct<url: string, label: string, last_checked: timestamp[s], excerpt: string>>
          child 0, item: struct<url: string, label: string, last_checked: timestamp[s], excerpt: string>
              child 0, url: string
              child 1, label: string
              child 2, last_checked: timestamp[s]
              child 3, ex
...
t<url: string, last_checked: timestamp[s]>
                  child 0, url: string
                  child 1, last_checked: timestamp[s]
              child 8, reasoning: struct<url: string, last_checked: timestamp[s]>
                  child 0, url: string
                  child 1, last_checked: timestamp[s]
              child 9, supports_tools: struct<url: string, last_checked: timestamp[s]>
                  child 0, url: string
                  child 1, last_checked: timestamp[s]
              child 10, supports_vision: struct<url: string, last_checked: timestamp[s]>
                  child 0, url: string
                  child 1, last_checked: timestamp[s]
              child 11, supports_json_schema: struct<url: string, last_checked: timestamp[s]>
                  child 0, url: string
                  child 1, last_checked: timestamp[s]
              child 12, supports_prompt_caching: struct<url: string, last_checked: timestamp[s]>
                  child 0, url: string
                  child 1, last_checked: timestamp[s]
              child 13, batch_discount_pct: struct<url: string, last_checked: timestamp[s]>
                  child 0, url: string
                  child 1, last_checked: timestamp[s]
              child 14, supports_batch: struct<url: string, last_checked: timestamp[s]>
                  child 0, url: string
                  child 1, last_checked: timestamp[s]
      child 14, first_seen: string
      child 15, updated_at: string
versions: null
to
{'name': Value('string'), 'publisher': Value('string'), 'license': Value('string'), 'version': Value('timestamp[s]'), 'versions': List({'version': Value('timestamp[s]'), 'changes': List({'provider': Value('string'), 'model_id': Value('string'), 'field': Value('string'), 'old': Json(decode=True), 'new': Json(decode=True), 'source_url': Value('string')})})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              name: string
              publisher: string
              license: string
              version: timestamp[s]
              models: list<item: struct<id: string, slug: string, provider: string, display_name: string, family: string,  (... 1964 chars omitted)
                child 0, item: struct<id: string, slug: string, provider: string, display_name: string, family: string, status: str (... 1952 chars omitted)
                    child 0, id: string
                    child 1, slug: string
                    child 2, provider: string
                    child 3, display_name: string
                    child 4, family: string
                    child 5, status: string
                    child 6, announced_date: timestamp[s]
                    child 7, deprecation_date: timestamp[s]
                    child 8, shutdown_date: timestamp[s]
                    child 9, shutdown_date_kind: string
                    child 10, region_or_platform_notes: string
                    child 11, replacements: list<item: struct<model_id: string, provider: string, kind: string, source_url: string>>
                        child 0, item: struct<model_id: string, provider: string, kind: string, source_url: string>
                            child 0, model_id: string
                            child 1, provider: string
                            child 2, kind: string
                            child 3, source_url: string
                    child 12, sources: list<item: struct<url: string, label: string, last_checked: timestamp[s], excerpt: string>>
                        child 0, item: struct<url: string, label: string, last_checked: timestamp[s], excerpt: string>
                            child 0, url: string
                            child 1, label: string
                            child 2, last_checked: timestamp[s]
                            child 3, ex
              ...
              t<url: string, last_checked: timestamp[s]>
                                child 0, url: string
                                child 1, last_checked: timestamp[s]
                            child 8, reasoning: struct<url: string, last_checked: timestamp[s]>
                                child 0, url: string
                                child 1, last_checked: timestamp[s]
                            child 9, supports_tools: struct<url: string, last_checked: timestamp[s]>
                                child 0, url: string
                                child 1, last_checked: timestamp[s]
                            child 10, supports_vision: struct<url: string, last_checked: timestamp[s]>
                                child 0, url: string
                                child 1, last_checked: timestamp[s]
                            child 11, supports_json_schema: struct<url: string, last_checked: timestamp[s]>
                                child 0, url: string
                                child 1, last_checked: timestamp[s]
                            child 12, supports_prompt_caching: struct<url: string, last_checked: timestamp[s]>
                                child 0, url: string
                                child 1, last_checked: timestamp[s]
                            child 13, batch_discount_pct: struct<url: string, last_checked: timestamp[s]>
                                child 0, url: string
                                child 1, last_checked: timestamp[s]
                            child 14, supports_batch: struct<url: string, last_checked: timestamp[s]>
                                child 0, url: string
                                child 1, last_checked: timestamp[s]
                    child 14, first_seen: string
                    child 15, updated_at: string
              versions: null
              to
              {'name': Value('string'), 'publisher': Value('string'), 'license': Value('string'), 'version': Value('timestamp[s]'), 'versions': List({'version': Value('timestamp[s]'), 'changes': List({'provider': Value('string'), 'model_id': Value('string'), 'field': Value('string'), 'old': Json(decode=True), 'new': Json(decode=True), 'source_url': 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.

AI Model Deprecations

Shutdown dates, deprecation status and recommended replacements for AI models across major providers, compiled from official provider deprecation pages by SunsetDiff. The data refreshes every 6 hours on the site.

Files:

  • models.json: every tracked model with status, dates and source links
  • deprecations.csv: one row per deprecation
  • changelog.json: versioned changes over time

Live calendar: https://sunsetdiff.com/deadlines/ . Feeds: https://sunsetdiff.com/feed.xml and https://sunsetdiff.com/deadlines.ics

Free JSON API docs: https://sunsetdiff.com/api/ . How SunsetDiff compares with other trackers: https://sunsetdiff.com/alternatives/

License: CC BY 4.0. Please cite SunsetDiff (https://sunsetdiff.com).

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