Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
ddfe86d0-eecc-45cc-ac0e-184bab1bb39b: struct<id: string, proposition: string, knowledge_type: string, confidence: double, domain: string, (... 393 chars omitted)
child 0, id: string
child 1, proposition: string
child 2, knowledge_type: string
child 3, confidence: double
child 4, domain: string
child 5, justification: list<item: null>
child 0, item: null
child 6, sources: list<item: struct<name: string, url: null, reliability_score: double, retrieved_at: string>>
child 0, item: struct<name: string, url: null, reliability_score: double, retrieved_at: string>
child 0, name: string
child 1, url: null
child 2, reliability_score: double
child 3, retrieved_at: string
child 7, keywords: list<item: null>
child 0, item: null
child 8, revision_history: list<item: null>
child 0, item: null
child 9, created_at: string
child 10, epistemic_gaps: list<item: null>
child 0, item: null
child 11, relations: struct<>
child 12, code_snippet: null
child 13, language: null
child 14, time_complexity: null
child 15, space_complexity: null
child 16, when_to_use: null
child 17, tradeoffs: null
99fb542b-ab84-4d7a-b487-8f376ace846c: struct<id: string, proposition: string, knowledge_type: string, confidence: double, domain: string, (... 393 chars omitted)
child 0, id: string
child 1, proposition: string
child 2, knowledge_type: string
child 3, confidence: double
child 4, domain: string
ch
...
tem: string
child 12, code_snippet: null
child 13, language: null
child 14, time_complexity: null
child 15, space_complexity: null
child 16, when_to_use: null
child 17, tradeoffs: null
9aa91665-c44b-405a-82f1-afe331b7d6ed: struct<id: string, proposition: string, knowledge_type: string, confidence: double, domain: string, (... 426 chars omitted)
child 0, id: string
child 1, proposition: string
child 2, knowledge_type: string
child 3, confidence: double
child 4, domain: string
child 5, justification: list<item: null>
child 0, item: null
child 6, sources: list<item: struct<name: string, url: null, reliability_score: double, retrieved_at: string>>
child 0, item: struct<name: string, url: null, reliability_score: double, retrieved_at: string>
child 0, name: string
child 1, url: null
child 2, reliability_score: double
child 3, retrieved_at: string
child 7, keywords: list<item: string>
child 0, item: string
child 8, revision_history: list<item: null>
child 0, item: null
child 9, created_at: string
child 10, epistemic_gaps: list<item: null>
child 0, item: null
child 11, relations: struct<GENERALIZES: list<item: string>>
child 0, GENERALIZES: list<item: string>
child 0, item: string
child 12, code_snippet: null
child 13, language: null
child 14, time_complexity: null
child 15, space_complexity: null
child 16, when_to_use: null
child 17, tradeoffs: null
to
{'text': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1821, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 781, in finalize
self.write_rows_on_file()
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._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
ddfe86d0-eecc-45cc-ac0e-184bab1bb39b: struct<id: string, proposition: string, knowledge_type: string, confidence: double, domain: string, (... 393 chars omitted)
child 0, id: string
child 1, proposition: string
child 2, knowledge_type: string
child 3, confidence: double
child 4, domain: string
child 5, justification: list<item: null>
child 0, item: null
child 6, sources: list<item: struct<name: string, url: null, reliability_score: double, retrieved_at: string>>
child 0, item: struct<name: string, url: null, reliability_score: double, retrieved_at: string>
child 0, name: string
child 1, url: null
child 2, reliability_score: double
child 3, retrieved_at: string
child 7, keywords: list<item: null>
child 0, item: null
child 8, revision_history: list<item: null>
child 0, item: null
child 9, created_at: string
child 10, epistemic_gaps: list<item: null>
child 0, item: null
child 11, relations: struct<>
child 12, code_snippet: null
child 13, language: null
child 14, time_complexity: null
child 15, space_complexity: null
child 16, when_to_use: null
child 17, tradeoffs: null
99fb542b-ab84-4d7a-b487-8f376ace846c: struct<id: string, proposition: string, knowledge_type: string, confidence: double, domain: string, (... 393 chars omitted)
child 0, id: string
child 1, proposition: string
child 2, knowledge_type: string
child 3, confidence: double
child 4, domain: string
ch
...
tem: string
child 12, code_snippet: null
child 13, language: null
child 14, time_complexity: null
child 15, space_complexity: null
child 16, when_to_use: null
child 17, tradeoffs: null
9aa91665-c44b-405a-82f1-afe331b7d6ed: struct<id: string, proposition: string, knowledge_type: string, confidence: double, domain: string, (... 426 chars omitted)
child 0, id: string
child 1, proposition: string
child 2, knowledge_type: string
child 3, confidence: double
child 4, domain: string
child 5, justification: list<item: null>
child 0, item: null
child 6, sources: list<item: struct<name: string, url: null, reliability_score: double, retrieved_at: string>>
child 0, item: struct<name: string, url: null, reliability_score: double, retrieved_at: string>
child 0, name: string
child 1, url: null
child 2, reliability_score: double
child 3, retrieved_at: string
child 7, keywords: list<item: string>
child 0, item: string
child 8, revision_history: list<item: null>
child 0, item: null
child 9, created_at: string
child 10, epistemic_gaps: list<item: null>
child 0, item: null
child 11, relations: struct<GENERALIZES: list<item: string>>
child 0, GENERALIZES: list<item: string>
child 0, item: string
child 12, code_snippet: null
child 13, language: null
child 14, time_complexity: null
child 15, space_complexity: null
child 16, when_to_use: null
child 17, tradeoffs: null
to
{'text': Value('string')}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
text string |
|---|
ddfe86d0-eecc-45cc-ac0e-184bab1bb39b |
99fb542b-ab84-4d7a-b487-8f376ace846c |
26dd9cb4-4686-4c16-99b5-c02fe3385fe6 |
805cb4f2-55e5-4a00-921d-7d22e173ac2a |
5ced25eb-2170-4ee8-af7c-03d4494d84f7 |
780e5192-c090-4a4f-81ad-7d39997ae1dc |
300a367a-c6f6-4ed6-967d-455971aca0ef |
23f32b1f-2b56-44e6-8192-8d403a829b36 |
633a45aa-b395-477d-b816-303c44bbedaf |
07e2dbcc-b5f1-407e-8c7a-8295eb60c3db |
1854764f-0bd7-41ef-9b1b-5e02f90152f5 |
1383dd1c-c7d3-4ae7-9b33-91fe02c707ba |
52d1324e-82d2-4ac0-8943-6ff1d1e9c989 |
0b286d01-e5e2-4354-a145-73ccf1f082d7 |
e21ee874-306f-4f68-bdfc-4aadc5700d96 |
0ad1f36b-6b02-47de-9b6d-c69e12de9de4 |
9cf7d74e-e45a-49d0-86c3-5ee9ac576207 |
24df4b8a-b186-42dd-84a3-f57902e665ba |
4e0d8cf1-5a73-4b44-aebd-4a58a04d5238 |
4b12e032-8920-46f2-a161-34a76c05ce28 |
aeff8a11-1211-4366-9b0b-7b95c5a82383 |
c5641655-48ae-442f-ac8c-5415945c8440 |
8d511c60-28ec-4bcd-a220-b56dacdb7003 |
66b563bd-6bea-40fd-a19e-94999821e791 |
ab5d5a49-3935-4859-a9be-43fa4ace5742 |
21d38873-f922-48af-a9c7-1654ce81fd64 |
ccf9fc34-3004-4aa6-936b-da9b450804a0 |
3c972960-74d5-4cd7-8c1e-96a0af898786 |
0cb8c1b9-55a5-4030-be98-81615a6d9a00 |
908abdf8-bf8a-4da2-b1f0-638e2c3b1f7b |
622aef3c-715e-4adb-ae39-c7df12b5a216 |
429f3390-1980-4554-936a-904cb9421bdb |
d6efadb2-bdaa-434a-aec6-2f02a527f123 |
8a57e8ef-9325-4d4b-b7b2-cbbecb03f39b |
6ab845fb-82fc-4447-871e-cee12f7c10d1 |
9f7665b2-ee98-4e4c-9c9e-bf3f63cac63f |
302c26a7-468e-45b0-bd25-1a9735db5a15 |
5c20ef7e-63d9-4261-b02c-b56112b3c0c1 |
1a4c2a74-c2ee-4c99-9eaa-87b56ba8fbde |
13780e83-e897-4376-8131-b7941210b634 |
ce85d972-13db-4332-9726-0d191154cfa5 |
3884cb5e-2454-4923-b176-0cddab2ade59 |
6108e5b8-6790-4675-8843-1d5ac1627edd |
a5832d2d-bf19-4aa5-90f2-beb620bd0304 |
4f1d68d6-301d-4aca-b4ad-6031b7260187 |
281ad241-01fb-4344-8c0d-16357729bdae |
a57e113f-10bc-4cb6-aa83-c2dc79fd9b8e |
f9b37eb3-f55a-48f5-8755-0e21766b1a25 |
f71b0505-4b6e-4ae3-a891-d7ee2227878b |
4a4f062a-7a8c-49fd-8fc6-853eea23c1ca |
13a663db-93f5-4a00-8cf0-ffced2fb9974 |
0525ab65-acec-416b-ae0b-4f5578f7fc4f |
93abe24f-23d8-4ca5-ae36-384214c9d1d3 |
7b294b97-1164-458b-83dc-6f52089ab383 |
3b2c89f5-61f0-4866-9eed-fded2ef0685b |
a6bd0cf9-db88-49b1-b4a8-c326366c148c |
63d94685-b232-4b75-91b8-638e6f57abf9 |
b4cc9895-fa1e-475c-933e-016bb54fef27 |
99c3bc75-9091-4082-8107-a0b34fbe2d24 |
9d0c4e97-4e4d-49fd-b273-b3d7cab7fa65 |
d82f6aef-9f38-42c8-b0b4-1928dba408a3 |
bb508428-fdcf-4a65-824c-8766366cb885 |
27557e00-83c6-4083-b45b-d31e2feb8df7 |
e9e5808f-684b-4efa-966b-f9d211ed5079 |
eb82fd1b-a34f-4db8-8909-e30562dceecc |
a49fb230-67e9-44f2-8358-16b32648a8b7 |
b48f36ba-8038-43fc-a2d0-6720c9068d0b |
0d16839a-2821-4e6f-b8c4-c724cdbca416 |
5e27051e-dc8b-4184-a6e3-dddc9857fad7 |
9249431e-ed76-4f2b-ad28-7d35df902071 |
8b37ea3a-f895-48d0-a60f-30380ac1a011 |
ce74b783-f913-47d8-b02e-8c5d5e467e0a |
6bf030be-7e9e-49dd-a4cb-2cc4d0d17c64 |
45524d58-65a0-487d-8642-00b8f015894a |
e0c46b5c-7222-47c1-bb2d-c2cf54895cb3 |
68325597-565e-4dd9-b695-1efee9aa7947 |
8a0425dd-4ec5-41d6-9dd5-a7aff2ff03dc |
1805baaf-730f-4ed8-8fd7-e609619c038f |
33f32a3a-7c80-47ae-affd-d8d97839d3e0 |
5a99cb15-9610-4b53-b189-7eaa0cccaf3c |
2cf63fc2-24dd-4e95-b629-7ad389aca9f5 |
67e0e4d9-463d-469a-a625-b2d85091dabe |
54e11764-c3d8-4284-ae06-ad6dc85145e5 |
74078d3f-0c76-480b-b146-a0414bb9a4e5 |
c8e3e093-83fa-47cb-a1ea-be4d27707f63 |
103ced47-968f-4ab8-8e11-3980080a9080 |
b09b314e-5801-4188-b43f-7c86a6517c3a |
708b2c6c-7dce-4e75-b31a-f41b3ae12db0 |
b8b826fb-244c-499c-af43-67a499dbd1e8 |
1ab13a60-f798-4eca-ac61-e4b7f61be979 |
5d1fbbad-d7d5-49f7-b1b4-2b7743b0e61b |
072a6bfb-79d5-44e2-8049-44207a6944ff |
a402a911-4fce-49dd-966f-dcfd2aad01d9 |
0934d2f0-b364-4d56-9410-b02f27d96c10 |
a2a3b480-4951-4678-abe7-cfe5e75115d4 |
9babf089-765d-44dc-b491-4d114818813f |
6a307ade-037c-4a5f-a41e-4988a384bf3c |
29c411cb-10d9-46ef-ac22-9153456922ac |
8f16a326-b4ed-4516-81a8-6dae3ab897b3 |
8be4eccf-80af-490c-bb70-9d7587798d92 |
End of preview.
No dataset card yet
- Downloads last month
- 13