Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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.

Downloads last month
46

Space using bolat-t/kgrag-data 1