From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
Paper • 2502.14802 • Published • 15
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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 ({'title', 'idx', 'text'}) and 3 missing columns ({'document', 'answer', 'question'}).
This happened while the json dataset builder was generating data using
hf://datasets/g7haha/HippoRAG_2/narrativeqa_dev_10_doc_corpus.json (at revision e1e5cce3a2927b519a2a34fcf746f98650697e72), [/tmp/hf-datasets-cache/medium/datasets/60241781783415-config-parquet-and-info-g7haha-HippoRAG_2-24556fe3/hub/datasets--g7haha--HippoRAG_2/snapshots/e1e5cce3a2927b519a2a34fcf746f98650697e72/narrativeqa_dev_10_doc.json (origin=hf://datasets/g7haha/HippoRAG_2@e1e5cce3a2927b519a2a34fcf746f98650697e72/narrativeqa_dev_10_doc.json), /tmp/hf-datasets-cache/medium/datasets/60241781783415-config-parquet-and-info-g7haha-HippoRAG_2-24556fe3/hub/datasets--g7haha--HippoRAG_2/snapshots/e1e5cce3a2927b519a2a34fcf746f98650697e72/narrativeqa_dev_10_doc_corpus.json (origin=hf://datasets/g7haha/HippoRAG_2@e1e5cce3a2927b519a2a34fcf746f98650697e72/narrativeqa_dev_10_doc_corpus.json)], ['hf://datasets/g7haha/HippoRAG_2@e1e5cce3a2927b519a2a34fcf746f98650697e72/narrativeqa_dev_10_doc.json', 'hf://datasets/g7haha/HippoRAG_2@e1e5cce3a2927b519a2a34fcf746f98650697e72/narrativeqa_dev_10_doc_corpus.json']
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/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/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/python3.12/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
idx: string
title: string
text: string
to
{'document': {'id': Value('string'), 'kind': Value('string'), 'url': Value('string'), 'file_size': Value('int64'), 'word_count': Value('int64'), 'start': Value('string'), 'end': Value('string'), 'summary': {'text': Value('string'), 'tokens': List(Value('string')), 'url': Value('string'), 'title': Value('string')}, 'text': Value('string')}, 'question': Value('string'), 'answer': List(Value('string'))}
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 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 1802, 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 3 new columns ({'title', 'idx', 'text'}) and 3 missing columns ({'document', 'answer', 'question'}).
This happened while the json dataset builder was generating data using
hf://datasets/g7haha/HippoRAG_2/narrativeqa_dev_10_doc_corpus.json (at revision e1e5cce3a2927b519a2a34fcf746f98650697e72), [/tmp/hf-datasets-cache/medium/datasets/60241781783415-config-parquet-and-info-g7haha-HippoRAG_2-24556fe3/hub/datasets--g7haha--HippoRAG_2/snapshots/e1e5cce3a2927b519a2a34fcf746f98650697e72/narrativeqa_dev_10_doc.json (origin=hf://datasets/g7haha/HippoRAG_2@e1e5cce3a2927b519a2a34fcf746f98650697e72/narrativeqa_dev_10_doc.json), /tmp/hf-datasets-cache/medium/datasets/60241781783415-config-parquet-and-info-g7haha-HippoRAG_2-24556fe3/hub/datasets--g7haha--HippoRAG_2/snapshots/e1e5cce3a2927b519a2a34fcf746f98650697e72/narrativeqa_dev_10_doc_corpus.json (origin=hf://datasets/g7haha/HippoRAG_2@e1e5cce3a2927b519a2a34fcf746f98650697e72/narrativeqa_dev_10_doc_corpus.json)], ['hf://datasets/g7haha/HippoRAG_2@e1e5cce3a2927b519a2a34fcf746f98650697e72/narrativeqa_dev_10_doc.json', 'hf://datasets/g7haha/HippoRAG_2@e1e5cce3a2927b519a2a34fcf746f98650697e72/narrativeqa_dev_10_doc_corpus.json']
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.
document dict | question string | answer list |
|---|---|---|
{"id":"4b30ab1c49b62dc59b9773954958d9ac6807a865","kind":"movie","url":"http://www.imsdb.com/scripts/(...TRUNCATED) | What is Mary Horowitz's job? | [
"She is a crossword writer for the Sacramento Herald.",
"She is a crossword puzzle writer."
] |
{"id":"4b30ab1c49b62dc59b9773954958d9ac6807a865","kind":"movie","url":"http://www.imsdb.com/scripts/(...TRUNCATED) | Who is Mary's blind date, and what is his job? | [
"Steve Miller, a cameraman.",
"Steve Miller, he is a cameraman"
] |
{"id":"4b30ab1c49b62dc59b9773954958d9ac6807a865","kind":"movie","url":"http://www.imsdb.com/scripts/(...TRUNCATED) | What is Steve's excuse to not see Mary? | ["He claims he is needed to cover a story out of town.","Fake a phone call about covering a story ou(...TRUNCATED) |
{"id":"4b30ab1c49b62dc59b9773954958d9ac6807a865","kind":"movie","url":"http://www.imsdb.com/scripts/(...TRUNCATED) | Why did Mary get fired? | ["She created a crossword entirely about Steve.","She created a crossword titled \"All About Steve\"(...TRUNCATED) |
{"id":"4b30ab1c49b62dc59b9773954958d9ac6807a865","kind":"movie","url":"http://www.imsdb.com/scripts/(...TRUNCATED) | Who does Mary cross the country with? | [
"Norm, Elizabeth, and Howard.",
"Elizabeth and Howard"
] |
{"id":"4b30ab1c49b62dc59b9773954958d9ac6807a865","kind":"movie","url":"http://www.imsdb.com/scripts/(...TRUNCATED) | Who is trapped in the mine collapse? | [
"Deaf children.",
"deaf children"
] |
{"id":"4b30ab1c49b62dc59b9773954958d9ac6807a865","kind":"movie","url":"http://www.imsdb.com/scripts/(...TRUNCATED) | Who rescues the one remaining deaf child? | [
"Mary, after falling in.",
"Steve"
] |
{"id":"4b30ab1c49b62dc59b9773954958d9ac6807a865","kind":"movie","url":"http://www.imsdb.com/scripts/(...TRUNCATED) | Who gets the credit for saving the child? | [
"Hartman Hughes.",
"Hartman"
] |
{"id":"4b30ab1c49b62dc59b9773954958d9ac6807a865","kind":"movie","url":"http://www.imsdb.com/scripts/(...TRUNCATED) | Who fell into the mine to save mary? | [
"Hartman Hughes, a tv reporter.",
"Hartman"
] |
{"id":"4b30ab1c49b62dc59b9773954958d9ac6807a865","kind":"movie","url":"http://www.imsdb.com/scripts/(...TRUNCATED) | What can Mary not stop talking about? | [
"Vocabulary.",
"Vocabulary"
] |
End of preview.
HippoRAG 2 is a powerful memory framework for LLMs that enhances their ability to recognize and utilize connections in new knowledge—mirroring a key function of human long-term memory.
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