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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
kind: string
pair_id: string
domain: string
en: string
zh: string
en_annotation: struct<has_metaphor: bool, metaphor_spans: list<item: struct<text: string, start: int64, end: int64, (... 148 chars omitted)
child 0, has_metaphor: bool
child 1, metaphor_spans: list<item: struct<text: string, start: int64, end: int64, cm_id: string, cm_name: string, source_fam (... 104 chars omitted)
child 0, item: struct<text: string, start: int64, end: int64, cm_id: string, cm_name: string, source_family: string (... 92 chars omitted)
child 0, text: string
child 1, start: int64
child 2, end: int64
child 3, cm_id: string
child 4, cm_name: string
child 5, source_family: string
child 6, source_domain: string
child 7, target_domain: string
child 8, conventionality: string
child 9, confidence: double
zh_annotation: struct<has_metaphor: bool, metaphor_spans: list<item: struct<text: string, start: int64, end: int64, (... 148 chars omitted)
child 0, has_metaphor: bool
child 1, metaphor_spans: list<item: struct<text: string, start: int64, end: int64, cm_id: string, cm_name: string, source_fam (... 104 chars omitted)
child 0, item: struct<text: string, start: int64, end: int64, cm_id: string, cm_name: string, source_family: string (... 92 chars omitted)
child 0, text: string
child 1, start: int64
child 2, end: int64
child 3, cm_id: string
...
, zh_idx: int64, relation: string, cm_en: string, cm_zh: string>>
child 0, item: struct<en_idx: int64, zh_idx: int64, relation: string, cm_en: string, cm_zh: string>
child 0, en_idx: int64
child 1, zh_idx: int64
child 2, relation: string
child 3, cm_en: string
child 4, cm_zh: string
child 5, n_en_spans: int64
child 6, n_zh_spans: int64
meta: struct<contributor: string, contributed_at: string, merged_at: string, contribution_id: int64>
child 0, contributor: string
child 1, contributed_at: string
child 2, merged_at: string
child 3, contribution_id: int64
single_id: string
lang: string
text: string
annotation: struct<has_metaphor: bool, metaphor_spans: list<item: struct<text: string, start: int64, end: int64, (... 148 chars omitted)
child 0, has_metaphor: bool
child 1, metaphor_spans: list<item: struct<text: string, start: int64, end: int64, cm_id: string, cm_name: string, source_fam (... 104 chars omitted)
child 0, item: struct<text: string, start: int64, end: int64, cm_id: string, cm_name: string, source_family: string (... 92 chars omitted)
child 0, text: string
child 1, start: int64
child 2, end: int64
child 3, cm_id: string
child 4, cm_name: string
child 5, source_family: string
child 6, source_domain: string
child 7, target_domain: string
child 8, conventionality: string
child 9, confidence: double
to
{'pair_id': Value('string'), 'domain': Value('string'), 'en_annotation': {'has_metaphor': Value('bool'), 'metaphor_spans': List({'text': Value('string'), 'start': Value('int64'), 'end': Value('int64'), 'cm_id': Value('string'), 'cm_name': Value('string'), 'source_domain': Value('string'), 'target_domain': Value('string'), 'conventionality': Value('string'), 'confidence': Value('float64'), 'source_family': Value('string'), 'macro_class': Value('string')})}, 'zh_annotation': {'has_metaphor': Value('bool'), 'metaphor_spans': List({'text': Value('string'), 'start': Value('int64'), 'end': Value('int64'), 'cm_id': Value('string'), 'cm_name': Value('string'), 'source_domain': Value('string'), 'target_domain': Value('string'), 'conventionality': Value('string'), 'confidence': Value('float64'), 'source_family': Value('string'), 'macro_class': Value('string')})}, 'pair_relation': {'pair_id': Value('string'), 'domain': Value('string'), 'rel_primary': Value('string'), 'relations': List(Value('string')), 'links': List({'en_idx': Value('int64'), 'zh_idx': Value('int64'), 'relation': Value('string'), 'cm_en': Value('string'), 'cm_zh': Value('string')}), 'n_en_spans': Value('int64'), 'n_zh_spans': Value('int64')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1835, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
kind: string
pair_id: string
domain: string
en: string
zh: string
en_annotation: struct<has_metaphor: bool, metaphor_spans: list<item: struct<text: string, start: int64, end: int64, (... 148 chars omitted)
child 0, has_metaphor: bool
child 1, metaphor_spans: list<item: struct<text: string, start: int64, end: int64, cm_id: string, cm_name: string, source_fam (... 104 chars omitted)
child 0, item: struct<text: string, start: int64, end: int64, cm_id: string, cm_name: string, source_family: string (... 92 chars omitted)
child 0, text: string
child 1, start: int64
child 2, end: int64
child 3, cm_id: string
child 4, cm_name: string
child 5, source_family: string
child 6, source_domain: string
child 7, target_domain: string
child 8, conventionality: string
child 9, confidence: double
zh_annotation: struct<has_metaphor: bool, metaphor_spans: list<item: struct<text: string, start: int64, end: int64, (... 148 chars omitted)
child 0, has_metaphor: bool
child 1, metaphor_spans: list<item: struct<text: string, start: int64, end: int64, cm_id: string, cm_name: string, source_fam (... 104 chars omitted)
child 0, item: struct<text: string, start: int64, end: int64, cm_id: string, cm_name: string, source_family: string (... 92 chars omitted)
child 0, text: string
child 1, start: int64
child 2, end: int64
child 3, cm_id: string
...
, zh_idx: int64, relation: string, cm_en: string, cm_zh: string>>
child 0, item: struct<en_idx: int64, zh_idx: int64, relation: string, cm_en: string, cm_zh: string>
child 0, en_idx: int64
child 1, zh_idx: int64
child 2, relation: string
child 3, cm_en: string
child 4, cm_zh: string
child 5, n_en_spans: int64
child 6, n_zh_spans: int64
meta: struct<contributor: string, contributed_at: string, merged_at: string, contribution_id: int64>
child 0, contributor: string
child 1, contributed_at: string
child 2, merged_at: string
child 3, contribution_id: int64
single_id: string
lang: string
text: string
annotation: struct<has_metaphor: bool, metaphor_spans: list<item: struct<text: string, start: int64, end: int64, (... 148 chars omitted)
child 0, has_metaphor: bool
child 1, metaphor_spans: list<item: struct<text: string, start: int64, end: int64, cm_id: string, cm_name: string, source_fam (... 104 chars omitted)
child 0, item: struct<text: string, start: int64, end: int64, cm_id: string, cm_name: string, source_family: string (... 92 chars omitted)
child 0, text: string
child 1, start: int64
child 2, end: int64
child 3, cm_id: string
child 4, cm_name: string
child 5, source_family: string
child 6, source_domain: string
child 7, target_domain: string
child 8, conventionality: string
child 9, confidence: double
to
{'pair_id': Value('string'), 'domain': Value('string'), 'en_annotation': {'has_metaphor': Value('bool'), 'metaphor_spans': List({'text': Value('string'), 'start': Value('int64'), 'end': Value('int64'), 'cm_id': Value('string'), 'cm_name': Value('string'), 'source_domain': Value('string'), 'target_domain': Value('string'), 'conventionality': Value('string'), 'confidence': Value('float64'), 'source_family': Value('string'), 'macro_class': Value('string')})}, 'zh_annotation': {'has_metaphor': Value('bool'), 'metaphor_spans': List({'text': Value('string'), 'start': Value('int64'), 'end': Value('int64'), 'cm_id': Value('string'), 'cm_name': Value('string'), 'source_domain': Value('string'), 'target_domain': Value('string'), 'conventionality': Value('string'), 'confidence': Value('float64'), 'source_family': Value('string'), 'macro_class': Value('string')})}, 'pair_relation': {'pair_id': Value('string'), 'domain': Value('string'), 'rel_primary': Value('string'), 'relations': List(Value('string')), 'links': List({'en_idx': Value('int64'), 'zh_idx': Value('int64'), 'relation': Value('string'), 'cm_en': Value('string'), 'cm_zh': Value('string')}), 'n_en_spans': Value('int64'), 'n_zh_spans': Value('int64')}}
because column names don't match
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 1379, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1887, 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.
pair_id string | domain string | en_annotation dict | zh_annotation dict | pair_relation dict |
|---|---|---|---|---|
Education-0000265 | Education | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "returning responsibility",
"start": 22,
"end": 46,
"cm_id": "CM-RSP-001",
"cm_name": "RESPONSIBILITIES ARE BURDENS",
"source_domain": "burden",
"target_domain": "responsibilities",
"conventionality": "conventi... | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "把责任交还",
"start": 10,
"end": 15,
"cm_id": "CM-OBJ-001",
"cm_name": "PROPERTIES ARE POSSESSIONS",
"source_domain": "possession",
"target_domain": "properties",
"conventionality": "conventional",
"confidenc... | {
"pair_id": "Education-0000265",
"domain": "Education",
"rel_primary": "REPLACE",
"relations": [
"REPLACE"
],
"links": [
{
"en_idx": 0,
"zh_idx": 0,
"relation": "REPLACE",
"cm_en": "CM-RSP-001",
"cm_zh": "CM-OBJ-001"
},
{
"en_idx": 1,
"zh_idx": 1,
... |
Education-0000971 | Education | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "pollute",
"start": 123,
"end": 130,
"cm_id": "CM-MOR-005",
"cm_name": "MORALITY IS STRAIGHTNESS",
"source_domain": "straightness",
"target_domain": "morality",
"conventionality": "conventional",
"confide... | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0000971",
"domain": "Education",
"rel_primary": "DELETE",
"relations": [
"DELETE"
],
"links": [
{
"en_idx": 0,
"zh_idx": null,
"relation": "DELETE",
"cm_en": "CM-MOR-005",
"cm_zh": null
}
],
"n_en_spans": 1,
"n_zh_spans": 0
} |
Education-0001597 | Education | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0001597",
"domain": "Education",
"rel_primary": "NONE",
"relations": [],
"links": [],
"n_en_spans": 0,
"n_zh_spans": 0
} |
Education-0002619 | Education | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "abscond himself",
"start": 5,
"end": 20,
"cm_id": "CM-PATH-007",
"cm_name": "A COURSE OF ACTION IS A PATH",
"source_domain": "a path",
"target_domain": "actions",
"conventionality": "conventional",
"conf... | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "流产",
"start": 39,
"end": 41,
"cm_id": "OTHER",
"cm_name": "失敗是流產",
"source_domain": "",
"target_domain": "",
"conventionality": "novel",
"confidence": 0.6,
"source_family": "",
"macro_class":... | {
"pair_id": "Education-0002619",
"domain": "Education",
"rel_primary": "REPLACE",
"relations": [
"DELETE",
"REPLACE"
],
"links": [
{
"en_idx": 0,
"zh_idx": 0,
"relation": "REPLACE",
"cm_en": "CM-PATH-007",
"cm_zh": "OTHER"
},
{
"en_idx": 1,
"zh_... |
Education-0005041 | Education | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0005041",
"domain": "Education",
"rel_primary": "NONE",
"relations": [],
"links": [],
"n_en_spans": 0,
"n_zh_spans": 0
} |
Education-0007811 | Education | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "something shifts inside you",
"start": 84,
"end": 111,
"cm_id": "CM-CON-001",
"cm_name": "CONDITIONS ARE CONTAINERS",
"source_domain": "container",
"target_domain": "conditions",
"conventionality": "convention... | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "以寂寞为乐",
"start": 13,
"end": 18,
"cm_id": "CM-EMO-001",
"cm_name": "EMOTIONS ARE LIQUIDS WITHIN A PERSON",
"source_domain": "fluid",
"target_domain": "emotion",
"conventionality": "conventional",
"confide... | {
"pair_id": "Education-0007811",
"domain": "Education",
"rel_primary": "REPLACE",
"relations": [
"REPLACE"
],
"links": [
{
"en_idx": 0,
"zh_idx": 0,
"relation": "REPLACE",
"cm_en": "CM-CON-001",
"cm_zh": "CM-EMO-001"
}
],
"n_en_spans": 1,
"n_zh_spans": 1
} |
Education-0007825 | Education | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0007825",
"domain": "Education",
"rel_primary": "NONE",
"relations": [],
"links": [],
"n_en_spans": 0,
"n_zh_spans": 0
} |
Education-0008663 | Education | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0008663",
"domain": "Education",
"rel_primary": "NONE",
"relations": [],
"links": [],
"n_en_spans": 0,
"n_zh_spans": 0
} |
Education-0008837 | Education | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "working day became one long series of acrobatics",
"start": 70,
"end": 118,
"cm_id": "CM-PATH-007",
"cm_name": "A COURSE OF ACTION IS A PATH",
"source_domain": "a path",
"target_domain": "actions",
"convention... | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "名声",
"start": 5,
"end": 7,
"cm_id": "CM-OBJ-001",
"cm_name": "PROPERTIES ARE POSSESSIONS",
"source_domain": "possession",
"target_domain": "properties",
"conventionality": "conventional",
"confidence": 0... | {
"pair_id": "Education-0008837",
"domain": "Education",
"rel_primary": "PRESERVE",
"relations": [
"ADD",
"PRESERVE",
"REPLACE"
],
"links": [
{
"en_idx": 0,
"zh_idx": 0,
"relation": "REPLACE",
"cm_en": "CM-PATH-007",
"cm_zh": "CM-OBJ-001"
},
{
"en_... |
Education-0009811 | Education | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0009811",
"domain": "Education",
"rel_primary": "NONE",
"relations": [],
"links": [],
"n_en_spans": 0,
"n_zh_spans": 0
} |
Education-0010845 | Education | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "lose control",
"start": 5,
"end": 17,
"cm_id": "CM-FOR-002",
"cm_name": "CAUSATION IS CONTROL",
"source_domain": "control",
"target_domain": "causation",
"conventionality": "conventional",
"confidence": ... | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "上瘾",
"start": 14,
"end": 16,
"cm_id": "CM-FOR-002",
"cm_name": "CAUSATION IS CONTROL",
"source_domain": "control",
"target_domain": "causation",
"conventionality": "conventional",
"confidence": 0.6,
... | {
"pair_id": "Education-0010845",
"domain": "Education",
"rel_primary": "PRESERVE",
"relations": [
"DELETE",
"PRESERVE"
],
"links": [
{
"en_idx": 0,
"zh_idx": 0,
"relation": "PRESERVE",
"cm_en": "CM-FOR-002",
"cm_zh": "CM-FOR-002"
},
{
"en_idx": 1,
... |
Education-0010949 | Education | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0010949",
"domain": "Education",
"rel_primary": "NONE",
"relations": [],
"links": [],
"n_en_spans": 0,
"n_zh_spans": 0
} |
Education-0013659 | Education | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "will prevail",
"start": 16,
"end": 28,
"cm_id": "CM-SOC-004",
"cm_name": "CONFLICT IS WAR",
"source_domain": "war",
"target_domain": "conflict",
"conventionality": "conventional",
"confidence": 0.6,
... | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "压倒",
"start": 5,
"end": 7,
"cm_id": "CM-FOR-002",
"cm_name": "CAUSATION IS CONTROL",
"source_domain": "control",
"target_domain": "causation",
"conventionality": "conventional",
"confidence": 0.6,
... | {
"pair_id": "Education-0013659",
"domain": "Education",
"rel_primary": "REPLACE",
"relations": [
"DELETE",
"REPLACE"
],
"links": [
{
"en_idx": 0,
"zh_idx": 0,
"relation": "REPLACE",
"cm_en": "CM-SOC-004",
"cm_zh": "CM-FOR-002"
},
{
"en_idx": 1,
... |
Education-0015107 | Education | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "adversarial",
"start": 51,
"end": 62,
"cm_id": "CM-SOC-004",
"cm_name": "CONFLICT IS WAR",
"source_domain": "war",
"target_domain": "conflict",
"conventionality": "conventional",
"confidence": 0.6,
... | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0015107",
"domain": "Education",
"rel_primary": "LITERALIZE",
"relations": [
"DELETE",
"LITERALIZE"
],
"links": [
{
"en_idx": 0,
"zh_idx": null,
"relation": "DELETE",
"cm_en": "CM-SOC-004",
"cm_zh": null
},
{
"en_idx": 1,
... |
Education-0015351 | Education | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "pay for impressions",
"start": 162,
"end": 181,
"cm_id": "CM-TIM-001",
"cm_name": "TIME IS MONEY",
"source_domain": "money",
"target_domain": "time",
"conventionality": "conventional",
"confidence": 0.6,... | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0015351",
"domain": "Education",
"rel_primary": "DELETE",
"relations": [
"DELETE"
],
"links": [
{
"en_idx": 0,
"zh_idx": null,
"relation": "DELETE",
"cm_en": "CM-TIM-001",
"cm_zh": null
},
{
"en_idx": 1,
"zh_idx": null,
... |
Education-0015515 | Education | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0015515",
"domain": "Education",
"rel_primary": "NONE",
"relations": [],
"links": [],
"n_en_spans": 0,
"n_zh_spans": 0
} |
Education-0015737 | Education | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "被害",
"start": 23,
"end": 25,
"cm_id": "CM-PSY-001",
"cm_name": "EMOTIONAL DISTANCE IS PHYSICAL DISTANCE",
"source_domain": "physical distance",
"target_domain": "emotion",
"conventionality": "conventional",
... | {
"pair_id": "Education-0015737",
"domain": "Education",
"rel_primary": "ADD",
"relations": [
"ADD"
],
"links": [
{
"en_idx": null,
"zh_idx": 0,
"relation": "ADD",
"cm_en": null,
"cm_zh": "CM-PSY-001"
},
{
"en_idx": null,
"zh_idx": 1,
"relation... |
Education-0018643 | Education | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "giant events",
"start": 14,
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"metaphor_spans": []
} | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0108033",
"domain": "Education",
"rel_primary": "NONE",
"relations": [],
"links": [],
"n_en_spans": 0,
"n_zh_spans": 0
} |
Education-0108507 | Education | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "foundation",
"start": 27,
"end": 37,
"cm_id": "CM-BLD-004",
"cm_name": "CAREER IS A BUILDING",
"source_domain": "a building",
"target_domain": "career",
"conventionality": "conventional",
"confidence": 0... | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0108507",
"domain": "Education",
"rel_primary": "DELETE",
"relations": [
"DELETE"
],
"links": [
{
"en_idx": 0,
"zh_idx": null,
"relation": "DELETE",
"cm_en": "CM-BLD-004",
"cm_zh": null
},
{
"en_idx": 1,
"zh_idx": null,
... |
Education-0111119 | Education | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0111119",
"domain": "Education",
"rel_primary": "NONE",
"relations": [],
"links": [],
"n_en_spans": 0,
"n_zh_spans": 0
} |
Education-0111239 | Education | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0111239",
"domain": "Education",
"rel_primary": "NONE",
"relations": [],
"links": [],
"n_en_spans": 0,
"n_zh_spans": 0
} |
Education-0113517 | Education | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "get the nerve",
"start": 72,
"end": 85,
"cm_id": "CM-PSY-004",
"cm_name": "MENTAL AGILITY IS PHYSICAL AGILITY",
"source_domain": "physical agility",
"target_domain": "mental_ability",
"conventionality": "conve... | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0113517",
"domain": "Education",
"rel_primary": "DELETE",
"relations": [
"DELETE"
],
"links": [
{
"en_idx": 0,
"zh_idx": null,
"relation": "DELETE",
"cm_en": "CM-PSY-004",
"cm_zh": null
},
{
"en_idx": 1,
"zh_idx": null,
... |
Education-0114417 | Education | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "laid off",
"start": 27,
"end": 35,
"cm_id": "CM-CON-001",
"cm_name": "CONDITIONS ARE CONTAINERS",
"source_domain": "container",
"target_domain": "conditions",
"conventionality": "conventional",
"confiden... | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0114417",
"domain": "Education",
"rel_primary": "LITERALIZE",
"relations": [
"DELETE",
"LITERALIZE"
],
"links": [
{
"en_idx": 0,
"zh_idx": null,
"relation": "DELETE",
"cm_en": "CM-CON-001",
"cm_zh": null
},
{
"en_idx": 1,
... |
Education-0114557 | Education | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "boom town",
"start": 87,
"end": 96,
"cm_id": "CM-SCL-003",
"cm_name": "GOOD IS UP; BAD IS DOWN",
"source_domain": "scale",
"target_domain": "evaluation",
"conventionality": "conventional",
"confidence": ... | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "换发",
"start": 18,
"end": 20,
"cm_id": "CM-ILL-001",
"cm_name": "ILLNESS IS AN ADVERSARY",
"source_domain": "an adversary",
"target_domain": "illness",
"conventionality": "conventional",
"confidence": 0.6... | {
"pair_id": "Education-0114557",
"domain": "Education",
"rel_primary": "REPLACE",
"relations": [
"REPLACE"
],
"links": [
{
"en_idx": 0,
"zh_idx": 0,
"relation": "REPLACE",
"cm_en": "CM-SCL-003",
"cm_zh": "CM-ILL-001"
}
],
"n_en_spans": 1,
"n_zh_spans": 1
} |
Education-0115215 | Education | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "rouse",
"start": 32,
"end": 37,
"cm_id": "CM-EMO-002",
"cm_name": "EMOTIONS ARE PHYSICAL FORCES",
"source_domain": "force",
"target_domain": "emotion",
"conventionality": "conventional",
"confidence": 0.... | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0115215",
"domain": "Education",
"rel_primary": "DELETE",
"relations": [
"DELETE"
],
"links": [
{
"en_idx": 0,
"zh_idx": null,
"relation": "DELETE",
"cm_en": "CM-EMO-002",
"cm_zh": null
},
{
"en_idx": 1,
"zh_idx": null,
... |
Education-0117207 | Education | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0117207",
"domain": "Education",
"rel_primary": "NONE",
"relations": [],
"links": [],
"n_en_spans": 0,
"n_zh_spans": 0
} |
Education-0117743 | Education | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "trampling rampage",
"start": 15,
"end": 32,
"cm_id": "CM-ARG-001",
"cm_name": "ARGUMENT IS WAR",
"source_domain": "war",
"target_domain": "argument",
"conventionality": "idiomatic",
"confidence": 0.6,
... | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "狂暴",
"start": 2,
"end": 4,
"cm_id": "CM-ANG-005",
"cm_name": "ANGER IS INSANITY",
"source_domain": "insanity",
"target_domain": "anger",
"conventionality": "conventional",
"confidence": 0.6,
"sourc... | {
"pair_id": "Education-0117743",
"domain": "Education",
"rel_primary": "REPLACE",
"relations": [
"REPLACE"
],
"links": [
{
"en_idx": 0,
"zh_idx": 0,
"relation": "REPLACE",
"cm_en": "CM-ARG-001",
"cm_zh": "CM-ANG-005"
},
{
"en_idx": 1,
"zh_idx": 1,
... |
Education-0117813 | Education | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0117813",
"domain": "Education",
"rel_primary": "NONE",
"relations": [],
"links": [],
"n_en_spans": 0,
"n_zh_spans": 0
} |
Education-0118447 | Education | {
"has_metaphor": true,
"metaphor_spans": [
{
"text": "Take up",
"start": 0,
"end": 7,
"cm_id": "CM-PATH-001",
"cm_name": "ACTIONS ARE SELF-PROPELLED MOTIONS",
"source_domain": "path",
"target_domain": "actions",
"conventionality": "conventional",
"confidenc... | {
"has_metaphor": false,
"metaphor_spans": []
} | {
"pair_id": "Education-0118447",
"domain": "Education",
"rel_primary": "DELETE",
"relations": [
"DELETE"
],
"links": [
{
"en_idx": 0,
"zh_idx": null,
"relation": "DELETE",
"cm_en": "CM-PATH-001",
"cm_zh": null
},
{
"en_idx": 1,
"zh_idx": null,
... |
End of preview.
YAML Metadata Warning:The task_categories "translation-studies" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
CM-Annotator Parallel Annotation Corpus (annotation layer)
English-Chinese parallel sentence pairs from UM-Corpus (Tian et al., LREC 2014; CC BY-NC-ND 4.0) with conceptual-metaphor span annotations (English and Chinese) and pair-level translation relations (PRESERVE / REPLACE / LITERALIZE / DELETE / ADD / NONE).
This is the annotation layer only: pair_id + annotations. Sentence text is NOT included
(UM-Corpus license prohibits redistribution). Restore full text with scripts/rebuild_fulltext.py
from your own copy of UM-Corpus. See docs/DATA_CARD.md in the code repository.
Stats
- pairs: 5000
- EN spans: 3631 / ZH spans: 1652
- null-CM rate: EN 0.686, ZH 0.837
- relations: {'REPLACE': 544, 'DELETE': 808, 'NONE': 3299, 'PRESERVE': 141, 'LITERALIZE': 78, 'ADD': 130}
Schema
pair_id, domain, en_annotation{has_metaphor, metaphor_spans[]},
zh_annotation, pair_relation{rel_primary, relations[], links[]}.
Spans: text/position are omitted in this layer except span metadata (cm_id, cm_name,
source_family, macro_class, conventionality) — see DATA_CARD for the full schema and
provenance. Annotations are model-generated silver labels distilled with human auditing;
they are NOT gold-standard human annotations.
Citation
UM-Corpus (LREC 2014); Master Metaphor List (Lakoff et al. 1991); CM-Annotator (see citation.cff).
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