Datasets:
Tasks:
Text2Text Generation
Languages:
English
| import csv | |
| import json | |
| # Lint as: python3 | |
| import os | |
| import datasets | |
| logger = datasets.logging.get_logger(__name__) | |
| _CITATION = """ | |
| @article{Xu-EtAl:2016:TACL, | |
| author = {Wei Xu and Courtney Napoles and Ellie Pavlick and Quanze Chen and Chris Callison-Burch}, | |
| title = {Optimizing Statistical Machine Translation for Text Simplification}, | |
| journal = {Transactions of the Association for Computational Linguistics}, | |
| volume = {4}, | |
| year = {2016}, | |
| url = {https://cocoxu.github.io/publications/tacl2016-smt-simplification.pdf}, | |
| pages = {401--415} | |
| } | |
| """ | |
| _DESCRIPTION = """Corpus of sentences gathered from Wikipedia and simplifications proposed by Amazon MTurk workers. | |
| Data gathered by Wei Xu, Courtney Napoles, Ellie Pavlick, Quanze Chen and Chris Callison-Burch.""" | |
| _URLS = { | |
| "tune": "https://huggingface.co/datasets/waboucay/turk_corpus/raw/main/tune.8turkers.organized.tsv", | |
| "test": "https://huggingface.co/datasets/waboucay/turk_corpus/raw/main/test.8turkers.organized.tsv" | |
| } | |
| _TUNE_FILE = "tune.json" | |
| _TEST_FILE = "test.json" | |
| class TurkCorpusConfig(datasets.BuilderConfig): | |
| """BuilderConfig for WikiLarge dataset""" | |
| def __init__(self, **kwargs): | |
| """BuilderConfig for Turk Corpus dataset | |
| Args: | |
| **kwargs: keyword arguments forwarded to super. | |
| """ | |
| super(TurkCorpusConfig, self).__init__(**kwargs) | |
| class TurkCorpus(datasets.GeneratorBasedBuilder): | |
| VERSION = datasets.Version("1.0.0", "") | |
| BUILDER_CONFIG_CLASS = TurkCorpusConfig | |
| BUILDER_CONFIGS = [ | |
| TurkCorpusConfig( | |
| name="turk_corpus", | |
| version=datasets.Version("1.0.0", ""), | |
| description=_DESCRIPTION, | |
| ) | |
| ] | |
| def _info(self): | |
| features = datasets.Features( | |
| { | |
| "complex": datasets.Value("string"), | |
| "simple": datasets.Sequence(datasets.Value("string")), | |
| } | |
| ) | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=features, | |
| supervised_keys=None, | |
| homepage="https://github.com/cocoxu/simplification/tree/master", | |
| ) | |
| def _split_generators(self, dl_manager): | |
| dl_files = dl_manager.download(_URLS) | |
| tune_path = os.path.join(os.path.dirname(dl_files["test"]), _TUNE_FILE) | |
| test_path = os.path.join(os.path.dirname(dl_files["test"]), _TEST_FILE) | |
| tune_data_path = os.path.abspath(dl_files["tune"]) | |
| test_data_path = os.path.abspath(dl_files["test"]) | |
| with open(tune_data_path, encoding="utf-8") as tune_data, open(test_data_path, encoding="utf-8") as test_data, \ | |
| open(tune_path, "w", encoding="utf-8") as tune_json, open(test_path, "w", encoding="utf-8") as test_json: | |
| tune_reader = csv.reader(tune_data, delimiter="\t") | |
| test_reader = csv.reader(test_data, delimiter="\t") | |
| tune_data = [] | |
| for line in tune_reader: | |
| tune_data.append({"complex": line[1], "simple": line[2:]}) | |
| json.dump(tune_data, tune_json) | |
| test_data = [] | |
| for line in test_reader: | |
| test_data.append({"complex": line[1], "simple": line[2:]}) | |
| json.dump(test_data, test_json) | |
| data_files = { | |
| "tune": tune_path, | |
| "test": test_path, | |
| } | |
| return [ | |
| datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": data_files["tune"]}), | |
| datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": data_files["test"]}), | |
| ] | |
| def _generate_examples(self, filepath): | |
| """This function returns the examples in the raw (text) form.""" | |
| with open(filepath, encoding="utf-8") as f: | |
| guid = 0 | |
| data = json.load(f) | |
| for obj in data: | |
| yield guid, { | |
| "complex": obj["complex"], | |
| "simple": obj["simple"] | |
| } | |
| guid += 1 | |