Datasets:
eduagarcia
commited on
Commit
·
41b694a
1
Parent(s):
7fcc229
Add Assin2 STS task
Browse files- portuguese_benchmark.py +43 -11
portuguese_benchmark.py
CHANGED
@@ -86,6 +86,11 @@ _ASSIN2_RTE_KWARGS = dict(
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label_classes=["NONE", "ENTAILMENT"],
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**_ASSIN2_BASE_KWARGS
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)
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class PTBenchmarkConfig(datasets.BuilderConfig):
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@@ -138,7 +143,7 @@ def _get_ner_dataset_info(config):
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citation=config.citation,
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features=datasets.Features(
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{
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-
"
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"tokens": datasets.Sequence(datasets.Value("string")),
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"ner_tags": datasets.Sequence(
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datasets.features.ClassLabel(names=bio_labels)
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@@ -154,7 +159,7 @@ def _get_rte_dataset_info(config):
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citation=config.citation,
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features=datasets.Features(
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{
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"
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"sentence1": datasets.Value("string"),
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"sentence2": datasets.Value("string"),
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"label": datasets.features.ClassLabel(names=config.label_classes),
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@@ -162,6 +167,21 @@ def _get_rte_dataset_info(config):
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)
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)
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def _conll_ner_generator(file_path):
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with open(file_path, encoding="utf-8") as f:
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@@ -173,7 +193,7 @@ def _conll_ner_generator(file_path):
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if line == "" or line == "\n":
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if tokens:
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yield guid, {
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"
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"tokens": tokens,
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"ner_tags": ner_tags,
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}
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@@ -187,12 +207,12 @@ def _conll_ner_generator(file_path):
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# last example
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yield guid, {
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"
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"tokens": tokens,
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"ner_tags": ner_tags,
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}
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-
def
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"""Yields examples."""
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id_ = 0
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@@ -203,14 +223,17 @@ def _assin2_rte_generator(file_path):
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for pair in root:
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"sentence1": pair.find(".//t").text,
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"sentence2": pair.find(".//h").text
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#"relatedness_score": float(pair.attrib.get("similarity")),
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"label": pair.attrib.get("entailment").upper(),
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}
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id_ += 1
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@@ -221,6 +244,9 @@ class PTBenchmark(datasets.GeneratorBasedBuilder):
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),
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PTBenchmarkConfig(
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**_ASSIN2_RTE_KWARGS
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)
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]
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@@ -229,6 +255,8 @@ class PTBenchmark(datasets.GeneratorBasedBuilder):
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return _get_ner_dataset_info(self.config)
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elif self.config.task_type == "rte":
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return _get_rte_dataset_info(self.config)
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def _split_generators(self, dl_manager: datasets.DownloadManager):
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file_paths = dl_manager.download_and_extract(self.config.data_urls)
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@@ -256,4 +284,8 @@ class PTBenchmark(datasets.GeneratorBasedBuilder):
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yield from _conll_ner_generator(file_path)
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elif self.config.task_type == "rte":
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if "assin2" in self.config.name:
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yield from
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label_classes=["NONE", "ENTAILMENT"],
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**_ASSIN2_BASE_KWARGS
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)
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+
_ASSIN2_STS_KWARGS = dict(
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name = "assin2-sts",
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task_type="sts",
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**_ASSIN2_BASE_KWARGS
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)
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class PTBenchmarkConfig(datasets.BuilderConfig):
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citation=config.citation,
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features=datasets.Features(
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{
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+
"idx": datasets.Value("int32"),
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"tokens": datasets.Sequence(datasets.Value("string")),
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"ner_tags": datasets.Sequence(
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datasets.features.ClassLabel(names=bio_labels)
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citation=config.citation,
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features=datasets.Features(
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{
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"idx": datasets.Value("int32"),
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"sentence1": datasets.Value("string"),
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"sentence2": datasets.Value("string"),
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"label": datasets.features.ClassLabel(names=config.label_classes),
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)
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)
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def _get_sts_dataset_info(config):
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return datasets.DatasetInfo(
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description=config.description,
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homepage=config.url,
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citation=config.citation,
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features=datasets.Features(
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{
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"idx": datasets.Value("int32"),
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"sentence1": datasets.Value("string"),
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"sentence2": datasets.Value("string"),
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"label": datasets.Value("float32"),
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}
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)
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)
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def _conll_ner_generator(file_path):
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with open(file_path, encoding="utf-8") as f:
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if line == "" or line == "\n":
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if tokens:
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yield guid, {
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"idx": guid,
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"tokens": tokens,
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"ner_tags": ner_tags,
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}
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# last example
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yield guid, {
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"idx": guid,
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"tokens": tokens,
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"ner_tags": ner_tags,
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}
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def _assin2_generator(file_path, type):
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"""Yields examples."""
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id_ = 0
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for pair in root:
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example = {
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"idx": int(pair.attrib.get("id")),
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"sentence1": pair.find(".//t").text,
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"sentence2": pair.find(".//h").text
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}
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if type == "rte":
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example["label"] = pair.attrib.get("entailment").upper()
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elif type == "sts":
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example["label"] = float(pair.attrib.get("similarity"))
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yield id_, example
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id_ += 1
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),
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PTBenchmarkConfig(
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**_ASSIN2_RTE_KWARGS
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),
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PTBenchmarkConfig(
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**_ASSIN2_STS_KWARGS
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)
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]
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return _get_ner_dataset_info(self.config)
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elif self.config.task_type == "rte":
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return _get_rte_dataset_info(self.config)
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elif self.config.task_type == "sts":
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return _get_sts_dataset_info(self.config)
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def _split_generators(self, dl_manager: datasets.DownloadManager):
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file_paths = dl_manager.download_and_extract(self.config.data_urls)
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yield from _conll_ner_generator(file_path)
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elif self.config.task_type == "rte":
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if "assin2" in self.config.name:
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yield from _assin2_generator(file_path, "rte")
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elif self.config.task_type == "sts":
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if "assin2" in self.config.name:
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yield from _assin2_generator(file_path, "sts")
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