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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 3 new columns ({'orcid', 'id:ID(Author)', 'name'}) and 2 missing columns ({':START_ID(Author)', ':END_ID(Institution)'}).
This happened while the csv dataset builder was generating data using
gzip://author.csv::hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/author.csv.gz, ['hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/affiliated_with.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/author.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/authored.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/cites.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/from_institution.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/funded_by.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/funder.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/has_topic.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/institution.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/published_in.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/source.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/topic.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/work.csv.gz']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
id:ID(Author): string
name: string
orcid: string
n_works:int: int64
first_year:int: int64
last_year:int: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 992
to
{':START_ID(Author)': Value('string'), ':END_ID(Institution)': Value('string'), 'n_works:int': Value('int64'), 'first_year:int': Value('int64'), 'last_year:int': Value('int64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 3 new columns ({'orcid', 'id:ID(Author)', 'name'}) and 2 missing columns ({':START_ID(Author)', ':END_ID(Institution)'}).
This happened while the csv dataset builder was generating data using
gzip://author.csv::hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/author.csv.gz, ['hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/affiliated_with.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/author.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/authored.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/cites.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/from_institution.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/funded_by.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/funder.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/has_topic.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/institution.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/published_in.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/source.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/topic.csv.gz', 'hf://datasets/bolat-t/kgrag-data@75cd1311424405fe9c003013b61d1e4ea2e39c08/neo4j/work.csv.gz']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)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.
:START_ID(Author) string | :END_ID(Institution) string | n_works:int int64 | first_year:int int64 | last_year:int int64 |
|---|---|---|---|---|
A5005913727 | I184942183 | 1 | 2,022 | 2,022 |
A5017024676 | I31746571 | 1 | 2,022 | 2,022 |
A5074628610 | I162714631 | 2 | 2,022 | 2,024 |
A5103351626 | I145608581 | 2 | 2,019 | 2,022 |
A5107483374 | I31746571 | 12 | 2,019 | 2,024 |
A5016749979 | I4210123488 | 2 | 2,022 | 2,023 |
A5054593177 | I4210087284 | 20 | 2,019 | 2,026 |
A5003337826 | I31746571 | 6 | 2,019 | 2,026 |
A5082473336 | I2802652803 | 1 | 2,022 | 2,022 |
A5021740728 | I1316052090 | 1 | 2,022 | 2,022 |
A5112381820 | I153718931 | 114 | 2,020 | 2,024 |
A5006580020 | I4210163551 | 2 | 2,022 | 2,023 |
A5013997156 | I165779595 | 7 | 2,019 | 2,026 |
A5051421056 | I31746571 | 1 | 2,022 | 2,022 |
A5023179056 | I165779595 | 1 | 2,022 | 2,022 |
A5044274948 | I168635309 | 2 | 2,021 | 2,022 |
A5048158436 | I69737025 | 1 | 2,022 | 2,022 |
A5029981164 | I99043593 | 9 | 2,020 | 2,024 |
A5101494881 | I2800664540 | 33 | 2,019 | 2,025 |
A5101864472 | I129604602 | 2 | 2,022 | 2,023 |
A5029580328 | I129604602 | 159 | 2,019 | 2,026 |
A5078818268 | I98251732 | 1 | 2,022 | 2,022 |
A5003269943 | I158060073 | 2 | 2,020 | 2,022 |
A5031431507 | I146584863 | 2 | 2,022 | 2,025 |
A5001282396 | I90745801 | 8 | 2,022 | 2,026 |
A5076953796 | I2799732068 | 3 | 2,022 | 2,022 |
A5078813391 | I129604602 | 1 | 2,022 | 2,022 |
A5055259070 | I114017466 | 4 | 2,019 | 2,024 |
A5075500243 | I31746571 | 40 | 2,019 | 2,026 |
A5057733400 | I4210150821 | 3 | 2,022 | 2,024 |
A5072853691 | I4210145033 | 1 | 2,022 | 2,022 |
A5038096807 | I129604602 | 1 | 2,022 | 2,022 |
A5053860659 | I2800849109 | 25 | 2,019 | 2,026 |
A5029222455 | I4210163563 | 3 | 2,020 | 2,022 |
A5071095195 | I4210110309 | 1 | 2,022 | 2,022 |
A5033905550 | I72951846 | 11 | 2,019 | 2,023 |
A5073084723 | I74813324 | 1 | 2,022 | 2,022 |
A5046008234 | I4210130844 | 1 | 2,022 | 2,022 |
A5082164118 | I4210138501 | 1 | 2,022 | 2,022 |
A5022100185 | I4210147382 | 16 | 2,019 | 2,024 |
A5085809939 | I13469542 | 1 | 2,022 | 2,022 |
A5045840734 | I63525965 | 1 | 2,022 | 2,022 |
A5065852705 | I2800555584 | 1 | 2,022 | 2,022 |
A5065121918 | I1311436738 | 10 | 2,019 | 2,024 |
A5074615066 | I129604602 | 301 | 2,019 | 2,026 |
A5029541872 | I4210088648 | 1 | 2,022 | 2,022 |
A5044865973 | I122274158 | 1 | 2,022 | 2,022 |
A5070079669 | I31746571 | 31 | 2,019 | 2,026 |
A5039775158 | I4210099176 | 1 | 2,022 | 2,022 |
A5075440540 | I31746571 | 17 | 2,019 | 2,024 |
A5044094477 | I31746571 | 18 | 2,020 | 2,026 |
A5026106671 | I93396115 | 3 | 2,022 | 2,022 |
A5016632751 | I166843116 | 2 | 2,022 | 2,022 |
A5038847162 | I12079687 | 3 | 2,021 | 2,025 |
A5087355766 | I129604602 | 31 | 2,019 | 2,026 |
A5012761344 | I129604602 | 12 | 2,020 | 2,025 |
A5082831349 | I31746571 | 7 | 2,021 | 2,025 |
A5044668687 | I2800079252 | 8 | 2,022 | 2,025 |
A5024840765 | I4210124742 | 2 | 2,020 | 2,022 |
A5026633220 | I129604602 | 32 | 2,019 | 2,026 |
A5071942960 | I129604602 | 1 | 2,022 | 2,022 |
A5044994060 | I32062511 | 1 | 2,022 | 2,022 |
A5010378038 | I4405265871 | 12 | 2,020 | 2,023 |
A5048913973 | I2800079252 | 11 | 2,021 | 2,025 |
A5045962772 | I129604602 | 2 | 2,019 | 2,022 |
A5046839630 | I129604602 | 52 | 2,019 | 2,026 |
A5028976895 | I13134134 | 1 | 2,022 | 2,022 |
A5059374055 | I4210119033 | 2 | 2,021 | 2,022 |
A5032450308 | I129604602 | 5 | 2,022 | 2,026 |
A5031314366 | I21449261 | 5 | 2,019 | 2,024 |
A5000382248 | I4210147382 | 3 | 2,021 | 2,022 |
A5014740620 | I2800079252 | 108 | 2,019 | 2,026 |
A5077492180 | I177877127 | 13 | 2,019 | 2,026 |
A5109292625 | I177725633 | 7 | 2,019 | 2,023 |
A5077588165 | I4210155937 | 28 | 2,020 | 2,025 |
A5025377130 | I4210155937 | 106 | 2,019 | 2,026 |
A5056876383 | I1290900354 | 3 | 2,019 | 2,023 |
A5050979301 | I169381384 | 10 | 2,019 | 2,025 |
A5059346849 | I129604602 | 104 | 2,019 | 2,026 |
A5045037866 | I133529467 | 9 | 2,021 | 2,024 |
A5085598693 | I129604602 | 59 | 2,019 | 2,025 |
A5016380895 | I31746571 | 33 | 2,019 | 2,026 |
A5005288897 | I1294671590 | 1 | 2,022 | 2,022 |
A5047853418 | I242743682 | 3 | 2,022 | 2,025 |
A5074506500 | I31746571 | 1 | 2,022 | 2,022 |
A5009695722 | I2800079252 | 1 | 2,022 | 2,022 |
A5021332921 | I44504214 | 4 | 2,020 | 2,024 |
A5042699030 | I183519381 | 13 | 2,019 | 2,024 |
A5018303472 | I102322142 | 25 | 2,019 | 2,025 |
A5082756881 | I31746571 | 1 | 2,022 | 2,022 |
A5078882374 | I149704539 | 100 | 2,019 | 2,026 |
A5057570076 | I66809481 | 4 | 2,020 | 2,022 |
A5030138461 | I4210088756 | 1 | 2,022 | 2,022 |
A5089163473 | I4210121705 | 1 | 2,022 | 2,022 |
A5082573578 | I31746571 | 5 | 2,019 | 2,025 |
A5059035023 | I40120149 | 16 | 2,019 | 2,024 |
A5057856136 | I4210124175 | 23 | 2,020 | 2,025 |
A5036979004 | I135310074 | 2 | 2,021 | 2,022 |
A5063648916 | I4210116480 | 1 | 2,022 | 2,022 |
A5070436464 | I4210099038 | 1 | 2,022 | 2,022 |
End of preview.
Build inputs for the Sydney research graph Space:
neo4j/*.csv.gz are neo4j-admin import files (works, authors, institutions,
topics, funders, sources and the edges between them); work_text.parquet holds
170,894 abstracts with bge-small-en-v1.5 embeddings. Derived from
OpenAlex (CC0), journal articles 2019– with an author at
a Sydney university.
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