Dataset Viewer
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
generated_at: string
license: string
models: list<item: struct<id: int64, provider: string, model_id: string, display_name: string, input_per_1m: (... 255 chars omitted)
child 0, item: struct<id: int64, provider: string, model_id: string, display_name: string, input_per_1m: double, ou (... 243 chars omitted)
child 0, id: int64
child 1, provider: string
child 2, model_id: string
child 3, display_name: string
child 4, input_per_1m: double
child 5, output_per_1m: double
child 6, cached_input_per_1m: double
child 7, context_window: int64
child 8, max_output_tokens: int64
child 9, modalities: string
child 10, supports_tools: bool
child 11, supports_vision: bool
child 12, knowledge_cutoff: null
child 13, status: string
child 14, source_url: string
child 15, updated_at: string
mcp_servers: list<item: struct<id: int64, url: string, name: string, description: string, homepage_url: string, s (... 187 chars omitted)
child 0, item: struct<id: int64, url: string, name: string, description: string, homepage_url: string, source_code_ (... 175 chars omitted)
child 0, id: int64
child 1, url: string
child 2, name: string
child 3, description: string
child 4, homepage_url: string
child 5, source_code_url: string
child 6, github_stars: null
child 7, package_registry: string
child 8, package_name: string
child 9, download_count: null
child 10, remote_url: string
child 11, is_remote: bool
child 12, source: string
child 13, updated_at: string
service_status: list<item: struct<id: int64, service: string, category: string, status_page: string, indicator: stri (... 64 chars omitted)
child 0, item: struct<id: int64, service: string, category: string, status_page: string, indicator: string, descrip (... 52 chars omitted)
child 0, id: int64
child 1, service: string
child 2, category: string
child 3, status_page: string
child 4, indicator: string
child 5, description: string
child 6, operational: bool
child 7, updated_at: string
ai_news: struct<error: string, state: string, results: list<item: null>, paused: bool, note: string, reason: (... 7 chars omitted)
child 0, error: string
child 1, state: string
child 2, results: list<item: null>
child 0, item: null
child 3, paused: bool
child 4, note: string
child 5, reason: string
note: string
reason: string
paused: bool
state: string
error: string
results: list<item: null>
child 0, item: null
to
{'error': Value('string'), 'state': Value('string'), 'results': List(Value('null')), 'paused': Value('bool'), 'note': Value('string'), 'reason': 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 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
generated_at: string
license: string
models: list<item: struct<id: int64, provider: string, model_id: string, display_name: string, input_per_1m: (... 255 chars omitted)
child 0, item: struct<id: int64, provider: string, model_id: string, display_name: string, input_per_1m: double, ou (... 243 chars omitted)
child 0, id: int64
child 1, provider: string
child 2, model_id: string
child 3, display_name: string
child 4, input_per_1m: double
child 5, output_per_1m: double
child 6, cached_input_per_1m: double
child 7, context_window: int64
child 8, max_output_tokens: int64
child 9, modalities: string
child 10, supports_tools: bool
child 11, supports_vision: bool
child 12, knowledge_cutoff: null
child 13, status: string
child 14, source_url: string
child 15, updated_at: string
mcp_servers: list<item: struct<id: int64, url: string, name: string, description: string, homepage_url: string, s (... 187 chars omitted)
child 0, item: struct<id: int64, url: string, name: string, description: string, homepage_url: string, source_code_ (... 175 chars omitted)
child 0, id: int64
child 1, url: string
child 2, name: string
child 3, description: string
child 4, homepage_url: string
child 5, source_code_url: string
child 6, github_stars: null
child 7, package_registry: string
child 8, package_name: string
child 9, download_count: null
child 10, remote_url: string
child 11, is_remote: bool
child 12, source: string
child 13, updated_at: string
service_status: list<item: struct<id: int64, service: string, category: string, status_page: string, indicator: stri (... 64 chars omitted)
child 0, item: struct<id: int64, service: string, category: string, status_page: string, indicator: string, descrip (... 52 chars omitted)
child 0, id: int64
child 1, service: string
child 2, category: string
child 3, status_page: string
child 4, indicator: string
child 5, description: string
child 6, operational: bool
child 7, updated_at: string
ai_news: struct<error: string, state: string, results: list<item: null>, paused: bool, note: string, reason: (... 7 chars omitted)
child 0, error: string
child 1, state: string
child 2, results: list<item: null>
child 0, item: null
child 3, paused: bool
child 4, note: string
child 5, reason: string
note: string
reason: string
paused: bool
state: string
error: string
results: list<item: null>
child 0, item: null
to
{'error': Value('string'), 'state': Value('string'), 'results': List(Value('null')), 'paused': Value('bool'), 'note': Value('string'), 'reason': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Dynamic Feed — Live AI Data
Fresh, structured data that language models don't have on their own (it changes faster than training cutoffs). Updated daily from authoritative sources.
Live API & MCP: https://dynamicfeed.ai · remote MCP: https://dynamicfeed.ai/mcp
What's inside
| File | Contents |
|---|---|
models.json |
Current pricing & capabilities for ~250 AI models (USD per 1M tokens, context windows, vision/tool support). |
mcp_servers.json |
A registry of MCP servers (tools AI agents can connect to) with GitHub stars and packages. |
service_status.json |
Recent up/down/degraded status for major AI & dev services. |
ai_news.json |
Latest AI releases & announcements across providers. |
dynamic_feed.json |
All of the above in one file. |
Sources
- Model pricing aggregated via the open LiteLLM dataset.
- MCP servers via the public PulseMCP directory.
- Service status via each provider's public Statuspage.
- AI news from official provider blogs/changelogs.
License
CC-BY-4.0 — free to use with attribution to Dynamic Feed (https://dynamicfeed.ai).
Citation
Dynamic Feed — Live AI Data. https://dynamicfeed.ai
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