Add Assin2 STS task

portuguese_benchmark.py

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