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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<src_lang_code: string, tgt_lang_code: string, src_text: string, tgt_text: string, pos_kek: string, semantic_kek: string>
to
{'src_lang_code': Value('string'), 'tgt_lang_code': Value('string'), 'src_text': Value('string'), 'tgt_text': Value('string'), 'type': Value('string')}
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, 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 128, 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 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2255, in cast_table_to_schema
cast_array_to_feature(
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, 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 2101, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<src_lang_code: string, tgt_lang_code: string, src_text: string, tgt_text: string, pos_kek: string, semantic_kek: string>
to
{'src_lang_code': Value('string'), 'tgt_lang_code': Value('string'), 'src_text': Value('string'), 'tgt_text': Value('string'), 'type': Value('string')}
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 1348, 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 1832, 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.
translation dict |
|---|
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Aj raqol aatinin.",
"tgt_text": "I am a judge.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "I am a judge.",
"tgt_text": "Aj raqol aatinin.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Rah sain.",
"tgt_text": "I am difficult.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "I am difficult.",
"tgt_text": "Rah sain.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Jii'in.",
"tgt_text": "I am a son-in-law.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "I am a son-in-law.",
"tgt_text": "Jii'in.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Uqin.",
"tgt_text": "I am a hand.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "I am a hand.",
"tgt_text": "Uqin.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "B’ukb’uo.",
"tgt_text": "We are bulky.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "We are bulky.",
"tgt_text": "B’ukb’uo.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Nim ruo.",
"tgt_text": "We are broad.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "We are broad.",
"tgt_text": "Nim ruo.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Aj chajinel ab'ixat.",
"tgt_text": "You are a field hand.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "You are a field hand.",
"tgt_text": "Aj chajinel ab'ixat.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Aajel ruat.",
"tgt_text": "You are important.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "You are important.",
"tgt_text": "Aajel ruat.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Rah saat.",
"tgt_text": "You are difficult.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "You are difficult.",
"tgt_text": "Rah saat.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Aj k'aak'aalehom tenamit a'an.",
"tgt_text": "She is a police officer.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "She is a police officer.",
"tgt_text": "Aj k'aak'aalehom tenamit a'an.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Tz’aqob’ex.",
"tgt_text": "You are complete.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "You are complete.",
"tgt_text": "Tz’aqob’ex.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Jayex.",
"tgt_text": "You are narrow.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "You are narrow.",
"tgt_text": "Jayex.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "A'an aj k'uub'ahom tzakahemq.",
"tgt_text": "He is a chef.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "He is a chef.",
"tgt_text": "A'an aj k'uub'ahom tzakahemq.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "A'an aj ch'e'ol so'sol ch'iich'.",
"tgt_text": "She is a pilot.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "She is a pilot.",
"tgt_text": "A'an aj ch'e'ol so'sol ch'iich'.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Tento a'an.",
"tgt_text": "He is necessary.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "He is necessary.",
"tgt_text": "Tento a'an.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Jay a'an.",
"tgt_text": "He is narrow.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "He is narrow.",
"tgt_text": "Jay a'an.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Aj jalol tz'iib' laj José.",
"tgt_text": "José is a translator.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "José is a translator.",
"tgt_text": "Aj jalol tz'iib' laj José.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Aj b'atz'uhom b'olotz oq li xKonsep.",
"tgt_text": "Konsep is a soccer player.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Konsep is a soccer player.",
"tgt_text": "Aj b'atz'uhom b'olotz oq li xKonsep.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Aajel ru li xMaría.",
"tgt_text": "María is important.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "María is important.",
"tgt_text": "Aajel ru li xMaría.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Ch'ina us li xRosa.",
"tgt_text": "Rosa is very pretty.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Rosa is very pretty.",
"tgt_text": "Ch'ina us li xRosa.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "K'ub'enaq xtz'aq li token.",
"tgt_text": "The wild berries is cheap.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "The wild berries is cheap.",
"tgt_text": "K'ub'enaq xtz'aq li token.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Liq’liq’ li polem.",
"tgt_text": "The abandoned house is very flexible.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "The abandoned house is very flexible.",
"tgt_text": "Liq’liq’ li polem.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Aj iiqanelat.",
"tgt_text": "You are a cargo loader.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "You are a cargo loader.",
"tgt_text": "Aj iiqanelat.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Kape'at.",
"tgt_text": "You are coffee.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "You are coffee.",
"tgt_text": "Kape'at.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Tz’aqob’eeb'.",
"tgt_text": "They are complete.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "They are complete.",
"tgt_text": "Tz’aqob’eeb'.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Tento xtib'el aaq.",
"tgt_text": "The pork are necessary.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "The pork are necessary.",
"tgt_text": "Tento xtib'el aaq.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Jay eb' a'b'ej.",
"tgt_text": "Legs are narrow.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Legs are narrow.",
"tgt_text": "Jay eb' a'b'ej.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Kach'in eb' linjii'.",
"tgt_text": "My sons-in-law are small.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "My sons-in-law are small.",
"tgt_text": "Kach'in eb' linjii'.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Ke laa iswaeb'.",
"tgt_text": "Your sweet tamales are cold.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Your sweet tamales are cold.",
"tgt_text": "Ke laa iswaeb'.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Tento oxlaju pata.",
"tgt_text": "Thirteen guanaba fruits are necessary.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Thirteen guanaba fruits are necessary.",
"tgt_text": "Tento oxlaju pata.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Aajel ru li xkaq ch'ool.",
"tgt_text": "His jealousy is important.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "His jealousy is important.",
"tgt_text": "Aajel ru li xkaq ch'ool.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "B’ukb’u li qaaq.",
"tgt_text": "Our pig is bulky.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Our pig is bulky.",
"tgt_text": "B’ukb’u li qaaq.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "B'ar wankeb’ li xRosa?",
"tgt_text": "Where is Rosa?",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Where is Rosa?",
"tgt_text": "B'ar wankeb’ li xRosa?",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "B'ar wankeb’ li aj chajinel ab'ix?",
"tgt_text": "Where is the field hand?",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Where is the field hand?",
"tgt_text": "B'ar wankeb’ li aj chajinel ab'ix?",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "B'ar wankeb’ li xmatzab'ej tz’aqob’?",
"tgt_text": "Where is the complete eyebrow?",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Where is the complete eyebrow?",
"tgt_text": "B'ar wankeb’ li xmatzab'ej tz’aqob’?",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "B'ar wankeb’ eb' leek'atk'al?",
"tgt_text": "Where are your big cornfields?",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Where are your big cornfields?",
"tgt_text": "B'ar wankeb’ eb' leek'atk'al?",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "B'ar wankeb’ li simb'?",
"tgt_text": "Where is their bamboo?",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Where is their bamboo?",
"tgt_text": "B'ar wankeb’ li simb'?",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Ma aj iiqanel li xRosa?",
"tgt_text": "Is Rosa a cargo loader?",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Is Rosa a cargo loader?",
"tgt_text": "Ma aj iiqanel li xRosa?",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Ma sa ch'oolej laj Carlos?",
"tgt_text": "Is Carlos happy?",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Is Carlos happy?",
"tgt_text": "Ma sa ch'oolej laj Carlos?",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Ma nim ru li aj b'anonel?",
"tgt_text": "Is the doctor broad?",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Is the doctor broad?",
"tgt_text": "Ma nim ru li aj b'anonel?",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Ma xiw li xa'an?",
"tgt_text": "Is the old lady nervous?",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Is the old lady nervous?",
"tgt_text": "Ma xiw li xa'an?",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Ma ch'i'lenb'il eb' aj k'uub'anel?",
"tgt_text": "Are the cooks annoyed?",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Are the cooks annoyed?",
"tgt_text": "Ma ch'i'lenb'il eb' aj k'uub'anel?",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Ma aajel ru eb' wa'leb'aal?",
"tgt_text": "Are dining rooms important?",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Are dining rooms important?",
"tgt_text": "Ma aajel ru eb' wa'leb'aal?",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Ma tiq linxtib'el kaxlan?",
"tgt_text": "Are my poultry hot?",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Are my poultry hot?",
"tgt_text": "Ma tiq linxtib'el kaxlan?",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Ma aajel ru laa uqeb'?",
"tgt_text": "Are your hands important?",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Are your hands important?",
"tgt_text": "Ma aajel ru laa uqeb'?",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Ma aajel ru li ra'?",
"tgt_text": "Is his leg important?",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Is his leg important?",
"tgt_text": "Ma aajel ru li ra'?",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Ma tz’aqob’ li qakape'?",
"tgt_text": "Is our coffee complete?",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Is our coffee complete?",
"tgt_text": "Ma tz’aqob’ li qakape'?",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Moko tento ta li xElena.",
"tgt_text": "Elena isn’t necessary.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "Elena isn’t necessary.",
"tgt_text": "Moko tento ta li xElena.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Moko nujenaq ta li wa'leb'aal.",
"tgt_text": "The dining room isn’t full.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "The dining room isn’t full.",
"tgt_text": "Moko nujenaq ta li wa'leb'aal.",
"type": "synthetic"
} |
{
"src_lang_code": "kek_Latn",
"tgt_lang_code": "eng_Latn",
"src_text": "Moko rah ta sa eb' po'ot.",
"tgt_text": "The blouses aren’t difficult.",
"type": "synthetic"
} |
{
"src_lang_code": "eng_Latn",
"tgt_lang_code": "kek_Latn",
"src_text": "The blouses aren’t difficult.",
"tgt_text": "Moko rah ta sa eb' po'ot.",
"type": "synthetic"
} |
End of preview.
Mayan-mT5: Q'eqchi' Synthetic Parallel Corpus (Phase 1)
This repository contains the JSONL training and validation datasets used to fine-tune the mayan-mt5-qeqchi-adapter models. The corpus consists of parallel sentence pairs mapping English and Spanish to Q'eqchi', formatted specifically for bidirectional sequence-to-sequence training.
This repository includes datasets for both Single-Task Learning (STL) baseline translation and the Multi-Task Learning (MTL) ablation study (which includes morphological and semantic metadata).
Repository Cross-Links
- Baseline (STL) Model Adapter: achulz/mayan-mt5-qeqchi-adapter
- Training Code & Generator (GitHub): achulzhanov/mayan-mt5
Important Note: Synthetic Data
This dataset is entirely synthetic. It was not scraped from native speakers or human-translated documents.
The sentences were programmatically generated using a custom rule-based engine utilizing English, Spanish, and Q'eqchi' lexicons, combined through grammatical template structures. Word frequencies were distributed using Zipf's Law to mimic natural language patterns.
Due to the synthetic nature of the data, this corpus is strictly intended for Phase 1 baseline training and academic research. It lacks the natural entropy, idiomatic nuance, and cultural context of human-generated text.
Dataset Structure
Because this repository hosts multiple versions of the data, we highly recommend utilizing the data_files argument when loading the dataset via the Hugging Face datasets library to ensure you get the exact split you need.
from datasets import load_dataset
# Example: Loading the final STL training dataset
dataset = load_dataset("achulz/mayan-mt5-qeqchi-dataset", data_files="mT5_train_final_stl.jsonl")
1. Final Training & Validation Sets (Grouped & Shuffled)
These are the finalized, randomized datasets directly fed into the mT5 trainer during the study.
Single-Task Learning (STL) - Translation Only
mT5_train_final_stl.jsonl: Primary STL training split.mT5_val_final_stl.jsonl: Primary STL validation split.mT5_val_mini_stl.jsonl: Lightweight STL validation split for rapid evaluation during training steps.
Multi-Task Learning (MTL) - Translation + POS + Semantic Tagging
mT5_train_mtl_final.jsonl: Primary MTL training split.mT5_val_mtl_final.jsonl: Primary MTL validation split.mT5_val_mtl_mini.jsonl: Lightweight MTL validation split.
2. Raw Generated Sets (Pre-Shuffle)
These files contain the raw, directional output straight from the synthetic generator prior to collation, task-prefixing, and shuffling. They are provided for complete methodological transparency and custom collation pipelines.
train_kek_en.jsonl: Raw Q'eqchi' / English translation pairs.train_kek_es.jsonl: Raw Q'eqchi' / Spanish translation pairs.train_mtl_kek_en_mtl.jsonl: Raw Q'eqchi' / English pairs with POS and semantic annotations.train_mtl_kek_es_mtl.jsonl: Raw Q'eqchi' / Spanish pairs with POS and semantic annotations.
3. Legacy Sets (v4)
Files marked v4 (e.g., mT5_train_v4.jsonl) are older iterations of the synthetic generation pipeline. They are retained in this repository solely for backwards compatibility and reproduction of earlier experiments.
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