Datasets:
Tasks:
Text Classification
Sub-tasks:
multi-class-classification
Languages:
English
Size:
100K<n<1M
ArXiv:
Tags:
relation extraction
License:
Add builder config for Re-TACRED and update _generate_examples method
Browse files
tacred.py
CHANGED
@@ -52,6 +52,22 @@ _CITATION = """\
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doi = "10.18653/v1/2020.acl-main.142",
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pages = "1558--1569",
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}
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"""
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_DESCRIPTION = """\
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@@ -86,6 +102,11 @@ _PATCH_URLs = {
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"dev": "https://raw.githubusercontent.com/DFKI-NLP/tacrev/master/patch/dev_patch.json",
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"test": "https://raw.githubusercontent.com/DFKI-NLP/tacrev/master/patch/test_patch.json",
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}
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_VERSION = datasets.Version("1.0.0")
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@@ -134,6 +155,49 @@ _CLASS_LABELS = [
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"per:title",
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]
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_NER_CLASS_LABELS = [
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"LOCATION",
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"ORGANIZATION",
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@@ -183,10 +247,15 @@ class Tacred(datasets.GeneratorBasedBuilder):
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name="original", version=_VERSION, description="The original TACRED."
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),
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datasets.BuilderConfig(
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-
name="
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version=_VERSION,
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description="
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),
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]
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DEFAULT_CONFIG_NAME = "original" # type: ignore
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@@ -245,8 +314,10 @@ class Tacred(datasets.GeneratorBasedBuilder):
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# It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
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# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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patch_files = {}
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-
if self.config.name == "
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patch_files = dl_manager.download_and_extract(_PATCH_URLs)
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data_dir = os.path.abspath(os.path.expanduser(dl_manager.manual_dir))
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@@ -262,7 +333,7 @@ class Tacred(datasets.GeneratorBasedBuilder):
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"filepath": os.path.join(data_dir, "train.json"),
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-
"patch_filepath":
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},
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),
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datasets.SplitGenerator(
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@@ -289,7 +360,10 @@ class Tacred(datasets.GeneratorBasedBuilder):
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patch_examples = {}
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if patch_filepath is not None:
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with open(patch_filepath, encoding="utf-8") as f:
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-
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with open(filepath, encoding="utf-8") as f:
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data = json.load(f)
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@@ -298,6 +372,9 @@ class Tacred(datasets.GeneratorBasedBuilder):
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if id_ in patch_examples:
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example.update(patch_examples[id_])
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yield id_, {
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"id": example["id"],
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doi = "10.18653/v1/2020.acl-main.142",
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pages = "1558--1569",
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}
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+
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+
@article{stoica2021re,
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author = {George Stoica and
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+
Emmanouil Antonios Platanios and
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Barnab{\'{a}}s P{\'{o}}czos},
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title = {Re-TACRED: Addressing Shortcomings of the {TACRED} Dataset},
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journal = {CoRR},
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volume = {abs/2104.08398},
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year = {2021},
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url = {https://arxiv.org/abs/2104.08398},
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eprinttype = {arXiv},
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eprint = {2104.08398},
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timestamp = {Mon, 26 Apr 2021 17:25:10 +0200},
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biburl = {https://dblp.org/rec/journals/corr/abs-2104-08398.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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"""
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_DESCRIPTION = """\
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"dev": "https://raw.githubusercontent.com/DFKI-NLP/tacrev/master/patch/dev_patch.json",
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"test": "https://raw.githubusercontent.com/DFKI-NLP/tacrev/master/patch/test_patch.json",
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}
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+
_RETACRED_PATCH_URLs = {
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"train": "https://raw.githubusercontent.com/gstoica27/Re-TACRED/master/Re-TACRED/train_id2label.json",
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"dev": "https://raw.githubusercontent.com/gstoica27/Re-TACRED/master/Re-TACRED/dev_id2label.json",
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"test": "https://raw.githubusercontent.com/gstoica27/Re-TACRED/master/Re-TACRED/test_id2label.json"
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}
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_VERSION = datasets.Version("1.0.0")
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"per:title",
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]
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_RETACRED_CLASS_LABELS = [
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"no_relation",
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"org:alternate_names",
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"org:city_of_branch",
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"org:country_of_branch",
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"org:dissolved",
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"org:founded",
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"org:founded_by",
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"org:member_of",
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"org:members",
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"org:number_of_employees/members",
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"org:political/religious_affiliation",
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"org:shareholders",
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"org:stateorprovince_of_branch",
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"org:top_members/employees",
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"org:website",
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"per:age",
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"per:cause_of_death",
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"per:charges",
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"per:children",
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"per:cities_of_residence",
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"per:city_of_birth",
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"per:city_of_death",
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"per:countries_of_residence",
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"per:country_of_birth",
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"per:country_of_death",
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"per:date_of_birth",
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"per:date_of_death",
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"per:employee_of",
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"per:identity",
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"per:origin",
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"per:other_family",
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"per:parents",
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"per:religion",
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"per:schools_attended",
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"per:siblings",
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"per:spouse",
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"per:stateorprovince_of_birth",
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"per:stateorprovince_of_death",
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"per:stateorprovinces_of_residence",
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"per:title"
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]
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_NER_CLASS_LABELS = [
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"LOCATION",
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"ORGANIZATION",
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name="original", version=_VERSION, description="The original TACRED."
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),
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datasets.BuilderConfig(
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name="revisited",
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version=_VERSION,
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description="TACRED Revisited (corrected labels for 5k most challenging examples in dev and test split).",
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),
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datasets.BuilderConfig(
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name="re-tacred",
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version=datasets.Version("1.1.0"),
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description="Relabeled TACRED (corrected labels for all splits and pruned)"
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)
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]
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DEFAULT_CONFIG_NAME = "original" # type: ignore
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# It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
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# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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patch_files = {}
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if self.config.name == "revisited":
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patch_files = dl_manager.download_and_extract(_PATCH_URLs)
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elif self.config.name == "re-tacred":
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patch_files = dl_manager.download_and_extract(_RETACRED_PATCH_URLs)
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data_dir = os.path.abspath(os.path.expanduser(dl_manager.manual_dir))
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"filepath": os.path.join(data_dir, "train.json"),
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"patch_filepath": patch_files.get("train"),
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},
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),
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datasets.SplitGenerator(
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patch_examples = {}
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if patch_filepath is not None:
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with open(patch_filepath, encoding="utf-8") as f:
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if self.config.name == "revisited":
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patch_examples = {example["id"]: example for example in json.load(f)}
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elif self.config.name == "re-tacred":
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patch_examples = {_id: {"id": _id, "label": label} for _id, label in json.load(f).items()}
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with open(filepath, encoding="utf-8") as f:
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data = json.load(f)
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if id_ in patch_examples:
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example.update(patch_examples[id_])
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elif self.config.name == "re-tacred":
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# RE-TACRED was pruned, skip example if its id is not in patch_examples
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continue
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yield id_, {
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"id": example["id"],
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