Panini: Continual Learning in Token Space via Structured Memory
Paper
• 2602.15156 • Published
• 6
Datasets:
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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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 260, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 120, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2224, in cast_table_to_schema
cast_array_to_feature(
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2002, in cast_array_to_feature
_c(array.field(name) if name in array_fields else null_array, subfeature)
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2052, in cast_array_to_feature
casted_array_values = _c(array.values, feature.feature)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2002, in cast_array_to_feature
_c(array.field(name) if name in array_fields else null_array, subfeature)
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2086, in cast_array_to_feature
return array_cast(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/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 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 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1922, 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.
doc_id string | source_file string | gsw dict |
|---|---|---|
doc_0 | gsw_0_0.json | {
"entity_nodes": [
{
"id": "e1",
"name": "Teutberga",
"roles": [
{
"role": "person",
"states": [
"deceased",
"historical figure"
],
"chunk_id": null
},
{
"role": "nobility",
"states": [
"queen",
"medieval period"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e2",
"name": "11 November 875",
"roles": [
{
"role": "date",
"states": [
"death date",
"medieval period"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e3",
"name": "Lotharingia",
"roles": [
{
"role": "location",
"states": [
"kingdom",
"medieval period"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e4",
"name": "Lothair II",
"roles": [
{
"role": "person",
"states": [
"historical figure"
],
"chunk_id": null
},
{
"role": "ruler",
"states": [
"king",
"medieval period"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e5",
"name": "Bosonid Boso the Elder",
"roles": [
{
"role": "person",
"states": [
"historical figure"
],
"chunk_id": null
},
{
"role": "nobility",
"states": [
"medieval period"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e6",
"name": "Hucbert",
"roles": [
{
"role": "person",
"states": [
"historical figure"
],
"chunk_id": null
},
{
"role": "religious figure",
"states": [
"lay-abbot",
"medieval period"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e7",
"name": "St. Maurice's Abbey",
"roles": [
{
"role": "location",
"states": [
"religious site",
"medieval period"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
}
],
"verb_phrase_nodes": [
{
"id": "v1",
"phrase": "died on",
"questions": [
{
"id": "q1",
"text": "Who died on 11 November 875?",
"answers": [
"e1"
],
"chunk_id": null
},
{
"id": "q2",
"text": "When did Teutberga die?",
"answers": [
"e2"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v2",
"phrase": "queen of",
"questions": [
{
"id": "q3",
"text": "Who was the queen of Lotharingia?",
"answers": [
"e1"
],
"chunk_id": null
},
{
"id": "q4",
"text": "What was Teutberga the queen of?",
"answers": [
"e3"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v3",
"phrase": "married to",
"questions": [
{
"id": "q5",
"text": "Who was Teutberga married to?",
"answers": [
"e4"
],
"chunk_id": null
},
{
"id": "q6",
"text": "Who was married to Lothair II?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v4",
"phrase": "daughter of",
"questions": [
{
"id": "q7",
"text": "Who is the daughter of Bosonid Boso the Elder?",
"answers": [
"e1"
],
"chunk_id": null
},
{
"id": "q8",
"text": "Who is Teutberga the daughter of?",
"answers": [
"e5"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v5",
"phrase": "sister of",
"questions": [
{
"id": "q9",
"text": "Who is the sister of Hucbert?",
"answers": [
"e1"
],
"chunk_id": null
},
{
"id": "q10",
"text": "Who is Teutberga the sister of?",
"answers": [
"e6"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v6",
"phrase": "lay-abbot of",
"questions": [
{
"id": "q11",
"text": "Who was the lay-abbot of St. Maurice's Abbey?",
"answers": [
"e6"
],
"chunk_id": null
},
{
"id": "q12",
"text": "What was Hucbert's role at St. Maurice's Abbey?",
"answers": [
"e7"
],
"chunk_id": null
}
],
"chunk_id": null
}
],
"space_nodes": [],
"time_nodes": [],
"similarity_edges": [],
"space_edges": [],
"time_edges": []
} |
doc_1 | gsw_1_0.json | {
"entity_nodes": [
{
"id": "e1",
"name": "Theodred II",
"roles": [
{
"role": "person",
"states": [
"historical figure",
"medieval period"
],
"chunk_id": null
},
{
"role": "religious leader",
"states": [
"Bishop of Elmham",
"medieval period"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e2",
"name": "Elmham",
"roles": [
{
"role": "location",
"states": [
"religious see",
"medieval period"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e3",
"name": "995–997",
"roles": [
{
"role": "date range",
"states": [
"death date range",
"medieval period"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
}
],
"verb_phrase_nodes": [
{
"id": "v1",
"phrase": "Bishop of",
"questions": [
{
"id": "q1",
"text": "Who was the Bishop of Elmham?",
"answers": [
"e1"
],
"chunk_id": null
},
{
"id": "q2",
"text": "What position did Theodred II hold?",
"answers": [
"e2"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v2",
"phrase": "died between",
"questions": [
{
"id": "q3",
"text": "When did Theodred II die?",
"answers": [
"e3"
],
"chunk_id": null
},
{
"id": "q4",
"text": "Who died between 995 and 997?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
}
],
"space_nodes": [],
"time_nodes": [],
"similarity_edges": [],
"space_edges": [],
"time_edges": []
} |
doc_10 | gsw_10_0.json | {
"entity_nodes": [
{
"id": "e1",
"name": "The film",
"roles": [
{
"role": "film",
"states": [
"creative work"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e2",
"name": "Japan",
"roles": [
{
"role": "location",
"states": [
"release location",
"country"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e3",
"name": "10 October 2009",
"roles": [
{
"role": "date",
"states": [
"release date"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
}
],
"verb_phrase_nodes": [
{
"id": "v1",
"phrase": "released in",
"questions": [
{
"id": "q1",
"text": "Where was the film released?",
"answers": [
"e2"
],
"chunk_id": null
},
{
"id": "q2",
"text": "What film was released in Japan?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v2",
"phrase": "released on",
"questions": [
{
"id": "q3",
"text": "When was the film released?",
"answers": [
"e3"
],
"chunk_id": null
},
{
"id": "q4",
"text": "What film was released on 10 October 2009?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
}
],
"space_nodes": [],
"time_nodes": [],
"similarity_edges": [],
"space_edges": [],
"time_edges": []
} |
doc_100 | gsw_100_0.json | {
"entity_nodes": [
{
"id": "e1",
"name": "Owen Story",
"roles": [
{
"role": "person",
"states": [
"living",
"athlete"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e2",
"name": "3 August 1984",
"roles": [
{
"role": "date",
"states": [
"birth date"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e3",
"name": "Burton upon Trent",
"roles": [
{
"role": "location",
"states": [
"birthplace"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e4",
"name": "English",
"roles": [
{
"role": "nationality",
"states": [
"European"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e5",
"name": "footballer",
"roles": [
{
"role": "profession",
"states": [
"sports"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e6",
"name": "Melton Town",
"roles": [
{
"role": "sports team",
"states": [
"current team"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e7",
"name": "forward",
"roles": [
{
"role": "position",
"states": [
"sports position"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
}
],
"verb_phrase_nodes": [
{
"id": "v1",
"phrase": "born on",
"questions": [
{
"id": "q1",
"text": "When was Owen Story born?",
"answers": [
"e2"
],
"chunk_id": null
},
{
"id": "q2",
"text": "Who was born on 3 August 1984?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v2",
"phrase": "born in",
"questions": [
{
"id": "q3",
"text": "Where was Owen Story born?",
"answers": [
"e3"
],
"chunk_id": null
},
{
"id": "q4",
"text": "Who was born in Burton upon Trent?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v3",
"phrase": "has nationality",
"questions": [
{
"id": "q5",
"text": "What is Owen Story's nationality?",
"answers": [
"e4"
],
"chunk_id": null
},
{
"id": "q6",
"text": "Who is English?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v4",
"phrase": "profession",
"questions": [
{
"id": "q7",
"text": "What is Owen Story's profession?",
"answers": [
"e5"
],
"chunk_id": null
},
{
"id": "q8",
"text": "Who is a footballer?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v5",
"phrase": "plays for",
"questions": [
{
"id": "q9",
"text": "Which team does Owen Story play for?",
"answers": [
"e6"
],
"chunk_id": null
},
{
"id": "q10",
"text": "Who plays for Melton Town?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v6",
"phrase": "plays as",
"questions": [
{
"id": "q11",
"text": "What position does Owen Story play?",
"answers": [
"e7"
],
"chunk_id": null
},
{
"id": "q12",
"text": "Who plays as a forward?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
}
],
"space_nodes": [],
"time_nodes": [],
"similarity_edges": [],
"space_edges": [],
"time_edges": []
} |
doc_1000 | gsw_1000_0.json | {
"entity_nodes": [
{
"id": "e1",
"name": "Yukio Hatoyama",
"roles": [
{
"role": "person",
"states": [
"politician",
"Prime Minister"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e2",
"name": "Kunio Hatoyama",
"roles": [
{
"role": "person",
"states": [
"politician"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e3",
"name": "grandmother",
"roles": [
{
"role": "family relation",
"states": [
"maternal ancestor"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e4",
"name": "2009",
"roles": [
{
"role": "date",
"states": [
"election year"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
}
],
"verb_phrase_nodes": [
{
"id": "v1",
"phrase": "grandmother of",
"questions": [
{
"id": "q1",
"text": "Who is the grandmother of Yukio Hatoyama?",
"answers": [
"e3"
],
"chunk_id": null
},
{
"id": "q2",
"text": "Who is the grandmother of Kunio Hatoyama?",
"answers": [
"e3"
],
"chunk_id": null
},
{
"id": "q3",
"text": "Who are the grandchildren of the grandmother?",
"answers": [
"e1",
"e2"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v2",
"phrase": "became widely known",
"questions": [
{
"id": "q4",
"text": "When did she become widely known as the grandmother of Yukio Hatoyama?",
"answers": [
"e4"
],
"chunk_id": null
},
{
"id": "q5",
"text": "When did she become widely known as the grandmother of Kunio Hatoyama?",
"answers": [
"e4"
],
"chunk_id": null
}
],
"chunk_id": null
}
],
"space_nodes": [],
"time_nodes": [],
"similarity_edges": [],
"space_edges": [],
"time_edges": []
} |
doc_1001 | gsw_1001_0.json | {
"entity_nodes": [
{
"id": "e1",
"name": "Princess Mafalda of Savoy",
"roles": [
{
"role": "person",
"states": [
"deceased",
"historical figure"
],
"chunk_id": null
},
{
"role": "nobility",
"states": [
"Italian royalty"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e2",
"name": "2 November 1902",
"roles": [
{
"role": "date",
"states": [
"birth date"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e3",
"name": "27 August 1944",
"roles": [
{
"role": "date",
"states": [
"death date"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e4",
"name": "King Victor Emmanuel III of Italy",
"roles": [
{
"role": "person",
"states": [
"historical figure"
],
"chunk_id": null
},
{
"role": "ruler",
"states": [
"Italian monarchy"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e5",
"name": "Elena of Montenegro",
"roles": [
{
"role": "person",
"states": [
"historical figure"
],
"chunk_id": null
},
{
"role": "nobility",
"states": [
"Montenegrin royalty"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e6",
"name": "Umberto II of Italy",
"roles": [
{
"role": "person",
"states": [
"historical figure"
],
"chunk_id": null
},
{
"role": "ruler",
"states": [
"Italian monarchy"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
}
],
"verb_phrase_nodes": [
{
"id": "v1",
"phrase": "born on",
"questions": [
{
"id": "q1",
"text": "When was Princess Mafalda of Savoy born?",
"answers": [
"e2"
],
"chunk_id": null
},
{
"id": "q2",
"text": "Who was born on 2 November 1902?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v2",
"phrase": "died on",
"questions": [
{
"id": "q3",
"text": "When did Princess Mafalda of Savoy die?",
"answers": [
"e3"
],
"chunk_id": null
},
{
"id": "q4",
"text": "Who died on 27 August 1944?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v3",
"phrase": "daughter of",
"questions": [
{
"id": "q5",
"text": "Who is the daughter of King Victor Emmanuel III of Italy?",
"answers": [
"e1"
],
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"chunk_id": null
},
{
"id": "v3",
"phrase": "part of",
"questions": [
{
"id": "q5",
"text": "What event was the 51st Semaine de la Critique part of?",
"answers": [
"e7"
],
"chunk_id": null
},
{
"id": "q6",
"text": "What section was part of the 2012 Cannes Film Festival?",
"answers": [
"e6"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v4",
"phrase": "won",
"questions": [
{
"id": "q7",
"text": "What award did Sofia's Last Ambulance win?",
"answers": [
"e8"
],
"chunk_id": null
},
{
"id": "q8",
"text": "Which film won the France 4 Visionary Award?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v5",
"phrase": "co-production of",
"questions": [
{
"id": "q9",
"text": "Which countries co-produced Sofia's Last Ambulance?",
"answers": [
"e2",
"e3",
"e4"
],
"chunk_id": null
},
{
"id": "q10",
"text": "What film was a co-production of Germany, Bulgaria, and Croatia?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v6",
"phrase": "competed in",
"questions": [
{
"id": "q11",
"text": "What section did Sofia's Last Ambulance compete in?",
"answers": [
"e6"
],
"chunk_id": null
},
{
"id": "q12",
"text": "What film competed in the 51st Semaine de la Critique?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v7",
"phrase": "history of",
"questions": [
{
"id": "q13",
"text": "How long is the history of the section where Sofia's Last Ambulance competed?",
"answers": [
"e9"
],
"chunk_id": null
},
{
"id": "q14",
"text": "What section has a 51-year history?",
"answers": [
"e6"
],
"chunk_id": null
}
],
"chunk_id": null
}
],
"space_nodes": [],
"time_nodes": [],
"similarity_edges": [],
"space_edges": [],
"time_edges": []
} |
doc_1052 | gsw_1052_0.json | {
"entity_nodes": [
{
"id": "e1",
"name": "Creature of the Walking Dead",
"roles": [
{
"role": "film",
"states": [
"horror genre",
"1960s"
],
"chunk_id": null
},
{
"role": "creative work",
"states": [
"adaptation"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e2",
"name": "1965",
"roles": [
{
"role": "date",
"states": [
"release year",
"1960s"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e3",
"name": "Jerry Warren",
"roles": [
{
"role": "person",
"states": [
"film adapter",
"1960s"
],
"chunk_id": null
},
{
"role": "creative professional",
"states": [
"American cinema"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e4",
"name": "La Marca del Muerto",
"roles": [
{
"role": "film",
"states": [
"Mexican cinema",
"1960s"
],
"chunk_id": null
},
{
"role": "creative work",
"states": [
"horror genre"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e5",
"name": "Mark of the Dead Man",
"roles": [
{
"role": "title",
"states": [
"English translation",
"alternative title"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e6",
"name": "Fernando Cortés",
"roles": [
{
"role": "person",
"states": [
"film director",
"1960s"
],
"chunk_id": null
},
{
"role": "creative professional",
"states": [
"Mexican cinema"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e7",
"name": "Alfredo Varela Jr.",
"roles": [
{
"role": "person",
"states": [
"screenwriter",
"1960s"
],
"chunk_id": null
},
{
"role": "creative professional",
"states": [
"Mexican cinema"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e8",
"name": "October 12, 1961",
"roles": [
{
"role": "date",
"states": [
"release date",
"1960s"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e9",
"name": "Nicholas Reye",
"roles": [
{
"role": "person",
"states": [
"special effects artist",
"1960s"
],
"chunk_id": null
},
{
"role": "creative professional",
"states": [
"Mexican cinema"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
}
],
"verb_phrase_nodes": [
{
"id": "v1",
"phrase": "adapted by",
"questions": [
{
"id": "q1",
"text": "Who adapted Creature of the Walking Dead?",
"answers": [
"e3"
],
"chunk_id": null
},
{
"id": "q2",
"text": "What film did Jerry Warren adapt?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v2",
"phrase": "original film",
"questions": [
{
"id": "q3",
"text": "What is the original film of Creature of the Walking Dead?",
"answers": [
"e4"
],
"chunk_id": null
},
{
"id": "q4",
"text": "What film is an adaptation of La Marca del Muerto?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v3",
"phrase": "directed by",
"questions": [
{
"id": "q5",
"text": "Who directed La Marca del Muerto?",
"answers": [
"e6"
],
"chunk_id": null
},
{
"id": "q6",
"text": "What film did Fernando Cortés direct?",
"answers": [
"e4"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v4",
"phrase": "written by",
"questions": [
{
"id": "q7",
"text": "Who wrote La Marca del Muerto?",
"answers": [
"e7"
],
"chunk_id": null
},
{
"id": "q8",
"text": "What film did Alfredo Varela Jr. write?",
"answers": [
"e4"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v5",
"phrase": "released in",
"questions": [
{
"id": "q9",
"text": "When was La Marca del Muerto released?",
"answers": [
"e8"
],
"chunk_id": null
},
{
"id": "q10",
"text": "What film was released on October 12, 1961?",
"answers": [
"e4"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v6",
"phrase": "special effects by",
"questions": [
{
"id": "q11",
"text": "Who handled the special effects for La Marca del Muerto?",
"answers": [
"e9"
],
"chunk_id": null
},
{
"id": "q12",
"text": "What film did Nicholas Reye work on for special effects?",
"answers": [
"e4"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v7",
"phrase": "English title",
"questions": [
{
"id": "q13",
"text": "What is the English title of La Marca del Muerto?",
"answers": [
"e5"
],
"chunk_id": null
},
{
"id": "q14",
"text": "What film has the English title 'Mark of the Dead Man'?",
"answers": [
"e4"
],
"chunk_id": null
}
],
"chunk_id": null
}
],
"space_nodes": [],
"time_nodes": [],
"similarity_edges": [],
"space_edges": [],
"time_edges": []
} |
doc_1053 | gsw_1053_0.json | {
"entity_nodes": [
{
"id": "e1",
"name": "Proezas de Satanás na Vila de Leva e Tráz",
"roles": [
{
"role": "film",
"states": [
"Brazilian cinema",
"1960s"
],
"chunk_id": null
},
{
"role": "creative work",
"states": [
"film"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e2",
"name": "1967",
"roles": [
{
"role": "date",
"states": [
"release year",
"1960s"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e3",
"name": "Brazilian",
"roles": [
{
"role": "nationality",
"states": [
"South American cinema"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e4",
"name": "Paulo Gil Soares",
"roles": [
{
"role": "person",
"states": [
"film director"
],
"chunk_id": null
},
{
"role": "creative professional",
"states": [
"Brazilian cinema",
"1960s"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
}
],
"verb_phrase_nodes": [
{
"id": "v1",
"phrase": "released in",
"questions": [
{
"id": "q1",
"text": "When was Proezas de Satanás na Vila de Leva e Tráz released?",
"answers": [
"e2"
],
"chunk_id": null
},
{
"id": "q2",
"text": "What film was released in 1967?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v2",
"phrase": "directed by",
"questions": [
{
"id": "q3",
"text": "Who directed Proezas de Satanás na Vila de Leva e Tráz?",
"answers": [
"e4"
],
"chunk_id": null
},
{
"id": "q4",
"text": "What film did Paulo Gil Soares direct?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v3",
"phrase": "nationality",
"questions": [
{
"id": "q5",
"text": "What is the nationality of Proezas de Satanás na Vila de Leva e Tráz?",
"answers": [
"e3"
],
"chunk_id": null
},
{
"id": "q6",
"text": "What Brazilian film is directed by Paulo Gil Soares?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
}
],
"space_nodes": [],
"time_nodes": [],
"similarity_edges": [],
"space_edges": [],
"time_edges": []
} |
doc_1054 | gsw_1054_0.json | {
"entity_nodes": [
{
"id": "e1",
"name": "El Festín de Satanás",
"roles": [
{
"role": "film",
"states": [
"Argentine cinema",
"1950s"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e2",
"name": "1958",
"roles": [
{
"role": "date",
"states": [
"release year",
"1950s"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
},
{
"id": "e3",
"name": "Argentine",
"roles": [
{
"role": "nationality",
"states": [
"South American cinema"
],
"chunk_id": null
}
],
"chunk_id": null,
"summary": null
}
],
"verb_phrase_nodes": [
{
"id": "v1",
"phrase": "released in",
"questions": [
{
"id": "q1",
"text": "When was El Festín de Satanás released?",
"answers": [
"e2"
],
"chunk_id": null
},
{
"id": "q2",
"text": "What film was released in 1958?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
},
{
"id": "v2",
"phrase": "nationality",
"questions": [
{
"id": "q3",
"text": "What is the nationality of El Festín de Satanás?",
"answers": [
"e3"
],
"chunk_id": null
},
{
"id": "q4",
"text": "What Argentine film was released in 1958?",
"answers": [
"e1"
],
"chunk_id": null
}
],
"chunk_id": null
}
],
"space_nodes": [],
"time_nodes": [],
"similarity_edges": [],
"space_edges": [],
"time_edges": []
} |
End of preview.
Panini: Continual Learning in Token Space via Structured Memory
Extracted Generative Semantic Workspace (GSW) representations and curated evaluation splits from Panini, provided for ease of replication and future research.
Contents
GSW Networks (gsw_networks/)
Structured semantic representations extracted from document corpora using the Panini/GSW framework. Each GSW captures entities, their roles/states, and verb-phrase relationships as question-answer pairs.
| Dataset | Documents | File | Description |
|---|---|---|---|
| 2WikiMultihopQA | 6,119 | 2wiki.jsonl |
Multi-hop reasoning across Wikipedia articles |
| MuSiQue | 11,626 | musique.jsonl |
Complex multi-step question answering |
| HotpotQA | 9,811 | hotpotqa.jsonl |
Multi-hop QA with supporting facts |
| Natural Questions (REAR) | 9,592 | nq_rear.jsonl |
Single-hop factual retrieval |
| PopQA | 8,676 | popqa.jsonl |
Popular entity question answering |
Format: Each line is a JSON object with:
{
"doc_id": "doc_0",
"source_file": "gsw_0_0.json",
"gsw": {
"entity_nodes": [...],
"verb_phrase_nodes": [...],
"space_nodes": [...],
"time_nodes": [...],
"similarity_edges": [...],
"space_edges": [...],
"time_edges": [...]
}
}
Corpus source: All evaluation corpora follow the HippoRAG v2 splits. GSWs were generated using GPT-4o with the Panini operator (see paper for details).
Paper Results
Main Results (GPT-4o-mini)
| Simple QA | Multi-Hop QA | ||||||
|---|---|---|---|---|---|---|---|
| Retrieval | NQ | PopQA | MuSiQue | 2Wiki | HotpotQA | LV-Eval | Avg |
| None | 52.7 | 22.7 | 22.0 | 36.3 | 41.0 | 5.0 | 29.9 |
| BM25 | 56.0 | 53.0 | 25.3 | 35.4 | 54.2 | 7.8 | 38.6 |
| BM25 + reranker | 58.2 | 56.8 | 29.9 | 44.1 | 63.4 | 8.1 | 43.4 |
| NV-Embed-v2 (7B) | 59.9 | 55.8 | 46.0 | 60.8 | 71.0 | 10.0 | 50.6 |
| Qwen3 (8B) | 59.1 | 59.8 | 39.4 | 56.2 | 69.2 | 11.7 | 49.2 |
| Qwen3 + reranker | 61.4 | 59.9 | 43.7 | 57.9 | 68.2 | 11.8 | 50.5 |
| RAPTOR | 54.5 | 55.1 | 39.2 | 48.4 | 64.7 | 9.2 | 45.2 |
| GraphRAG | 55.5 | 51.3 | 42.0 | 61.0 | 67.6 | 11.0 | 48.1 |
| HippoRAG | 52.2 | 56.2 | 35.9 | 67.3 | 60.0 | 7.6 | 46.5 |
| HippoRAG 2 | 60.0 | 55.7 | 49.3 | 69.7 | 71.1 | 14.0 | 53.3 |
| IRCoT | 26.4 | 53.8 | 44.2 | 64.9 | 64.3 | 9.1 | 43.8 |
| Search-R1 | 47.9 | 49.7 | 41.1 | 64.9 | 68.6 | 11.5 | 47.3 |
| Panini | 67.4 | 57.6 | 52.3 | 72.4 | 71.9 | 14.8 | 56.1 |
Platinum Evaluation Splits (platinum/)
To evaluate reliability under missing evidence, we curate Platinum splits for MuSiQue and 2WikiMultihopQA. Each question is verified for answerability through multi-model consensus and labeled as answerable (gold answer is derivable from supporting documents) or unanswerable (evidence is missing or ambiguous). This allows measuring both QA accuracy and abstention quality. See Section 4.2 of the paper for full construction details.
| Split | Answerable | Unanswerable | Total |
|---|---|---|---|
| 2Wiki Platinum | 906 | 94 | 1,000 |
| MuSiQue Platinum | 766 | 153 | 919 |
Files:
2wiki_platinum.json— Answerable 2Wiki questions2wiki_unanswerable.json— Unanswerable 2Wiki questionsmusique_platinum.json— Answerable MuSiQue questionsmusique_unanswerable.json— Unanswerable MuSiQue questions
Platinum Results (GPT-4o-mini)
| Retrieval | MuSiQue Ans | MuSiQue Unans | 2Wiki Ans | 2Wiki Unans | Avg Ans | Avg Unans |
|---|---|---|---|---|---|---|
| BM25 | 35.0 | 78.4 | 37.9 | 79.8 | 36.4 | 79.1 |
| BM25 + reranker | 42.3 | 74.5 | 47.9 | 78.7 | 45.1 | 76.6 |
| Qwen3 (8B) | 53.3 | 63.4 | 63.5 | 70.9 | 58.4 | 67.2 |
| Qwen3 + reranker | 59.7 | 62.8 | 63.8 | 67.7 | 61.7 | 65.2 |
| HippoRAG 2 | 63.6 | 50.3 | 81.5 | 66.7 | 72.5 | 58.5 |
| Panini | 75.0 | 72.6 | 84.8 | 73.1 | 79.9 | 72.8 |
Usage
import json
# Load GSW networks for a dataset
gsws = []
with open("gsw_networks/2wiki.jsonl") as f:
for line in f:
gsws.append(json.loads(line))
# Load platinum evaluation split
with open("platinum/2wiki_platinum.json") as f:
platinum_questions = json.load(f)
With the Panini/GSW-Memory package
from gsw_memory.qa.gsw_tools import GSWTools
# Write GSWs to individual files for GSWTools
import os, json
os.makedirs("gsw_files", exist_ok=True)
with open("gsw_networks/2wiki.jsonl") as f:
for line in f:
record = json.loads(line)
doc_dir = f"gsw_files/{record['doc_id']}"
os.makedirs(doc_dir, exist_ok=True)
with open(f"{doc_dir}/{record['source_file']}", "w") as out:
json.dump(record["gsw"], out)
# Use GSWTools for retrieval
import glob
gsw_files = glob.glob("gsw_files/doc_*/*.json")
tools = GSWTools(gsw_files)
tools.build_index()
results = tools.search_gsw_bm25("Lothair II", limit=5)
Attribution
- Evaluation corpora follow splits from HippoRAG v2 (Gutiérrez et al., 2025)
- 2WikiMultihopQA from Ho et al., 2020
- MuSiQue from Trivedi et al., 2022
- HotpotQA from Yang et al., 2018
- Natural Questions from Kwiatkowski et al., 2019
- PopQA from Mallen et al., 2023
- Platinum curation methodology inspired by Vendrow et al., 2025
Citation
@misc{rajesh2026paninicontinuallearningtoken,
title={Panini: Continual Learning in Token Space via Structured Memory},
author={Shreyas Rajesh and Pavan Holur and Mehmet Yigit Turali and Chenda Duan and Vwani Roychowdhury},
year={2026},
eprint={2602.15156},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2602.15156},
}
License
MIT
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