import gzip
import json
import datasets

_URLS = {
  "csl": "https://huggingface.co/datasets/neuclir/csl/resolve/main/data/csl.jsonl.gz",
  "en_translation": "https://huggingface.co/datasets/neuclir/csl/resolve/main/data/csl.gt.063023.jsonl.gz",
}

class Csl(datasets.GeneratorBasedBuilder):
    VERSION = datasets.Version("1.1.1")

    def _info(self):
        return datasets.DatasetInfo(
            features=datasets.Features({
              "doc_id": datasets.Value("string"),
              "title": datasets.Value("string"),
              "abstract": datasets.Value("string"),
              "keywords": datasets.Sequence(feature=datasets.Value("string"), length=-1),
              "category": datasets.Value("string"),
              "category_eng": datasets.Value("string"),
              "discipline": datasets.Value("string"),
              "discipline_eng": datasets.Value("string"),
            }),
        )

    def _split_generators(self, dl_manager):
        paths = dl_manager.download(_URLS)
        return [
            datasets.SplitGenerator(
                name=split,
                gen_kwargs={
                    "filepath": paths[split],
                })
            for split in _URLS
        ]

    def _generate_examples(self, filepath):
        with gzip.open(filepath) as f:
            for key, row in enumerate(f):
                data = json.loads(row)
                if "category_eng" not in data:
                    data["category_eng"] = ""
                    data["discipline_eng"] = ""
                yield key, data