"""ReLi dataset"""

import datasets
import pandas as pd

_CITATION = """
"""

_DESCRIPTION = """
"""

_URLS = {
    "train": "https://raw.githubusercontent.com/ruanchaves/reli/048eb86f046cedb32acf8d982be004c7c749b3b8/train.csv",
    "test": "https://raw.githubusercontent.com/ruanchaves/reli/048eb86f046cedb32acf8d982be004c7c749b3b8/test.csv",
    "validation": "https://raw.githubusercontent.com/ruanchaves/reli/048eb86f046cedb32acf8d982be004c7c749b3b8/dev.csv"
}

class Reli(datasets.GeneratorBasedBuilder):

    VERSION = datasets.Version("1.0.0")
    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "source": datasets.Value("string"),
                    "title": datasets.Value("string"),
                    "book": datasets.Value("string"),
                    "review_id": datasets.Value("string"),
                    "score": datasets.Value("float64"),
                    "sentence_id": datasets.Value("int64"),
                    "unique_review_id": datasets.Value("string"),
                    "sentence": datasets.Value("string"),
                    "label": datasets.Value("string")
                }),
            supervised_keys=None,
            homepage="",
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        downloaded_files = dl_manager.download(_URLS)
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={
                    "filepath": downloaded_files["train"],
                }
            ),
            datasets.SplitGenerator(
                name=datasets.Split.VALIDATION,
                gen_kwargs={
                    "filepath": downloaded_files["validation"],
                }
            ),    
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={
                    "filepath": downloaded_files["test"],
                }
            )        
        ]

    def _generate_examples(self, filepath):
        records = pd.read_csv(filepath).to_dict("records")
        for idx, row in enumerate(records):
            yield idx, row