| """WRENCH classification dataset.""" |
|
|
| import json |
|
|
| import datasets |
|
|
|
|
| class WrenchClassifConfig(datasets.BuilderConfig): |
| """BuilderConfig for WRENCH.""" |
|
|
| def __init__(self, dataset_path, **kwargs): |
| super(WrenchClassifConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs) |
| self.dataset_path = dataset_path |
|
|
|
|
| class WrenchSequenceTaggingConfig(datasets.BuilderConfig): |
| """BuilderConfig for WRENCH.""" |
|
|
| def __init__(self, dataset_path, **kwargs): |
| super(WrenchClassifConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs) |
| self.dataset_path = dataset_path |
|
|
|
|
| class Wrench(datasets.GeneratorBasedBuilder): |
| """WRENCH classification dataset.""" |
|
|
| ENTITY_RELATED_DATASETS = ["spouse", "cdr", "semeval", "chemprot"] |
|
|
| SEQUENCETAGGING_DATASET = [ |
| {"name": "conll", "dataset_path": "./conll"}, |
| {"name": "laptopreview", "dataset_path": "./laptopreview"}, |
| {"name": "bc5cdr", "dataset_path": "./bc5cdr"}, |
| {"name": "mit-movies", "dataset_path": "./mit-movies"}, |
| {"name": "mit-restaurants", "dataset_path": "./mit-restaurants"}, |
| {"name": "ncbi-disease", "dataset_path": "./ncbi-disease"}, |
| {"name": "ontonotes", "dataset_path": "./ontonotes"}, |
| {"name": "wikigold", "dataset_path": "./wikigold"}, |
| ] |
|
|
| CLASSIF_DATASETS = [ |
| {"name": "imdb", "dataset_path": "./imdb"}, |
| {"name": "agnews", "dataset_path": "./agnews"}, |
| {"name": "cdr", "dataset_path": "./cdr"}, |
| {"name": "chemprot", "dataset_path": "./chemprot"}, |
| {"name": "semeval", "dataset_path": "./semeval"}, |
| {"name": "sms", "dataset_path": "./sms"}, |
| {"name": "spouse", "dataset_path": "./spouse"}, |
| {"name": "trec", "dataset_path": "./trec"}, |
| {"name": "yelp", "dataset_path": "./yelp"}, |
| {"name": "youtube", "dataset_path": "./youtube"}, |
| ] |
|
|
| configs_clf = [ |
| WrenchClassifConfig(name=i["name"], dataset_path=i["dataset_path"]) for i in CLASSIF_DATASETS |
| ] |
| BUILDER_CONFIGS = configs_clf |
|
|
| def _info(self): |
| name = self.config.name |
| if name in self.ENTITY_RELATED_DATASETS: |
| return datasets.DatasetInfo( |
| features=datasets.Features( |
| { |
| "text": datasets.Value("string"), |
| "label": datasets.Value("int8"), |
| "entity1": datasets.Value("string"), |
| "entity2": datasets.Value("string"), |
| "weak_labels": datasets.Sequence(datasets.Value("int8")), |
| } |
| ) |
| ) |
| else: |
| return datasets.DatasetInfo( |
| features=datasets.Features( |
| { |
| "text": datasets.Value("string"), |
| "label": datasets.Value("int8"), |
| "weak_labels": datasets.Sequence(datasets.Value("int8")), |
| } |
| ) |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| dataset_path = self.config.dataset_path |
| name = self.config.name |
| train_path = dl_manager.download_and_extract(f"{dataset_path}/train.json") |
| valid_path = dl_manager.download_and_extract(f"{dataset_path}/valid.json") |
| test_path = dl_manager.download_and_extract(f"{dataset_path}/test.json") |
| return [ |
| datasets.SplitGenerator( |
| name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path, "name": name} |
| ), |
| datasets.SplitGenerator( |
| name=datasets.Split.VALIDATION, gen_kwargs={"filepath": valid_path, "name": name} |
| ), |
| datasets.SplitGenerator( |
| name=datasets.Split.TEST, gen_kwargs={"filepath": test_path, "name": name} |
| ), |
| ] |
|
|
| def _generate_examples(self, filepath, name): |
| """Generate Custom examples.""" |
|
|
| with open(filepath, encoding="utf-8") as f: |
| json_data = json.load(f) |
|
|
| if name in self.ENTITY_RELATED_DATASETS: |
| for idx in json_data: |
| data = json_data[idx] |
|
|
| text = data["data"]["text"] |
| weak_labels = data["weak_labels"] |
| label = data["label"] |
| entity1 = data["data"]["entity1"] |
| entity2 = data["data"]["entity2"] |
|
|
| yield int(idx), { |
| "text": text, |
| "label": label, |
| "entity1": entity1, |
| "entity2": entity2, |
| "weak_labels": weak_labels, |
| } |
| else: |
| if name == "trec": |
| for idx in json_data: |
| data = json_data[idx] |
| text = " ".join(data["data"]["text"].split(" ")[1:]) |
| weak_labels = data["weak_labels"] |
| label = data["label"] |
|
|
| yield int(idx), { |
| "text": text, |
| "label": label, |
| "weak_labels": weak_labels, |
| } |
| else: |
| for idx in json_data: |
| |
| data = json_data[idx] |
|
|
| text = data["data"]["text"] |
| weak_labels = data["weak_labels"] |
| label = data["label"] |
|
|
| yield int(idx), { |
| "text": text, |
| "label": label, |
| "weak_labels": weak_labels, |
| } |
|
|
