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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type string to null
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2245, in cast_table_to_schema
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2246, in <listcomp>
cast_array_to_feature(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2005, in cast_array_to_feature
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2006, in <listcomp>
_c(array.field(name) if name in array_fields else null_array, subfeature)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2102, in cast_array_to_feature
return array_cast(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1948, in array_cast
raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
TypeError: Couldn't cast array of type string to null
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 1417, 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 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, 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 1897, 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.
config
dict | results
list |
|---|---|
{
"is_anonymous": true,
"metric": "ndcg_at_1",
"reranking_model": "training_mt-2024-08-05-2-80000",
"reranking_model_link": null,
"retrieval_model": "bge-m3",
"retrieval_model_link": null,
"revision": "8fc4fd4fd385033bcbd5a9eab3c9be56",
"task": "qa",
"timestamp": "2024-08-12T09:42:44Z"
} | [
{
"dataset": "default",
"domain": "law",
"lang": "en",
"value": 0.31594
},
{
"dataset": "default",
"domain": "news",
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"value": 0.38067
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{
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"domain": "news",
"lang": "en",
"value": 0.47336000000000006
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{
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"domain": "msmarco",
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"value": 0.39532
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{
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"domain": "healthcare",
"lang": "zh",
"value": 0.36179000000000006
},
{
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"value": 0.36321000000000003
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{
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"value": 0.27756000000000003
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{
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{
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"value": 0.61882
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{
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"value": 0.61031
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{
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"value": 0.33853000000000005
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{
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"value": 0.47118000000000004
},
{
"dataset": "default",
"domain": "web",
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"value": 0.4587
}
] |
{
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"metric": "ndcg_at_3",
"reranking_model": "training_mt-2024-08-05-2-80000",
"reranking_model_link": null,
"retrieval_model": "bge-m3",
"retrieval_model_link": null,
"revision": "8fc4fd4fd385033bcbd5a9eab3c9be56",
"task": "qa",
"timestamp": "2024-08-12T09:42:44Z"
} | [
{
"dataset": "default",
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"value": 0.2988
},
{
"dataset": "default",
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"value": 0.36347
},
{
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"value": 0.47757000000000005
},
{
"dataset": "default",
"domain": "msmarco",
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{
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"value": 0.33169000000000004
},
{
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"value": 0.35313000000000005
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{
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{
"dataset": "default",
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{
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{
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{
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"value": 0.3321
},
{
"dataset": "default",
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"value": 0.44636000000000003
},
{
"dataset": "default",
"domain": "web",
"lang": "en",
"value": 0.44922000000000006
}
] |
{
"is_anonymous": true,
"metric": "ndcg_at_5",
"reranking_model": "training_mt-2024-08-05-2-80000",
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"retrieval_model": "bge-m3",
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"revision": "8fc4fd4fd385033bcbd5a9eab3c9be56",
"task": "qa",
"timestamp": "2024-08-12T09:42:44Z"
} | [
{
"dataset": "default",
"domain": "law",
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"value": 0.3063
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{
"dataset": "default",
"domain": "news",
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"value": 0.36955000000000005
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{
"dataset": "default",
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{
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{
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{
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{
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{
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{
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{
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{
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{
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] |
{
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} | [
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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"value": 0.5840700000000001
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{
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] |
{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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"value": 0.2215
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{
"dataset": "default",
"domain": "web",
"lang": "zh",
"value": 0.30584
},
{
"dataset": "default",
"domain": "web",
"lang": "en",
"value": 0.32367
}
] |
{
"is_anonymous": true,
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"revision": "8fc4fd4fd385033bcbd5a9eab3c9be56",
"task": "qa",
"timestamp": "2024-08-12T09:42:44Z"
} | [
{
"dataset": "default",
"domain": "law",
"lang": "en",
"value": 0.23272
},
{
"dataset": "default",
"domain": "news",
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"value": 0.25744
},
{
"dataset": "default",
"domain": "news",
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"value": 0.37769
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{
"dataset": "default",
"domain": "msmarco",
"lang": "en",
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},
{
"dataset": "default",
"domain": "healthcare",
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{
"dataset": "default",
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{
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"domain": "finance",
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"value": 0.16337000000000002
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{
"dataset": "default",
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{
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{
"dataset": "default",
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{
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"value": 0.25762
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{
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"domain": "web",
"lang": "zh",
"value": 0.35106000000000004
},
{
"dataset": "default",
"domain": "web",
"lang": "en",
"value": 0.36022000000000004
}
] |
{
"is_anonymous": true,
"metric": "map_at_10",
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