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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 2 new columns ({'Recall@10', 'nDCG@10'}) and 2 missing columns ({'Recall@1', 'nDCG@1'}).

This happened while the json dataset builder was generating data using

hf://datasets/Soyoung97/SNU_LDI_LRAG/init/retrieval_data/rerank/jasper-rewrite-top1000-rerank_evaluation.jsonl (at revision e25b081a08a8c852b319d18e5ce71048af99a22f)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              qid: string
              nDCG@10: double
              Recall@10: double
              to
              {'qid': Value(dtype='string', id=None), 'nDCG@1': Value(dtype='float64', id=None), 'Recall@1': Value(dtype='float64', id=None)}
              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 1433, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 989, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              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 2 new columns ({'Recall@10', 'nDCG@10'}) and 2 missing columns ({'Recall@1', 'nDCG@1'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Soyoung97/SNU_LDI_LRAG/init/retrieval_data/rerank/jasper-rewrite-top1000-rerank_evaluation.jsonl (at revision e25b081a08a8c852b319d18e5ce71048af99a22f)
              
              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.

qid
string
nDCG@1
float64
Recall@1
float64
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pq:<urn:uuid:0000fe9e-de0a-4c33-9f9d-745c5bccbcf3>:similar-to-document:doctor
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pq:<urn:uuid:00009685-dafa-4e19-af42-762bbcf4fe2c>:first-turn-question:engineer
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pq:<urn:uuid:0000ef02-8bd9-4834-ba77-325aa0680d3c>:long-simple:researcher
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pq:<urn:uuid:00001e6c-f1f2-49e4-b0ba-e48e85ba773f>:opinion:professional
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pq:<urn:uuid:0000f701-be8e-4785-8a74-3609877b7f06>:non-factoid:common person
0
0
pq:<urn:uuid:0001a512-a1b6-48a3-a54e-793c4bf893bc>:comparison:common person
1
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0
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0
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pq:<urn:uuid:0001214b-49da-462f-910e-b99ab0c972f6>:with-premise:expertise
1
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pq:<urn:uuid:0000b20c-73ca-4435-a9f6-87b19f2307eb>:open-ended:layman
1
1
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1
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pq:<urn:uuid:0000b2c3-f846-4c1b-a580-56c020b4b3ee>:concise-and-natural:parent
1
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1
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pq:<urn:uuid:00007a4d-0c95-4bb4-84eb-e7c373c4e328>:distant-from-document:engineer
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pq:<urn:uuid:00001930-8e4b-447a-9142-0435861c549d>:non-factoid:student
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0
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pq:<urn:uuid:0001ebff-5850-430a-b558-b511debad63f>:non-factoid:expertise
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pq:<urn:uuid:00017560-443a-47ce-943d-37c90b70558c>:with-premise:adult
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1
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pq:<urn:uuid:0002317e-50ff-46fa-88bb-42f937ed4e31>:long-fancy-language:professional
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pq:<urn:uuid:000067d5-7bde-4e7b-b257-6b5b3777725e>:factoid:common person
0
0
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