"""SNAP dataset"""

import datasets

_CITATION = """
@inproceedings{celebi2016segmenting,
  title={Segmenting hashtags using automatically created training data},
  author={Celebi, Arda and {\"O}zg{\"u}r, Arzucan},
  booktitle={Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)},
  pages={2981--2985},
  year={2016}
}
"""

_DESCRIPTION = """
Automatically segmented 803K SNAP Twitter Data Set hashtags with the heuristic described in the paper "Segmenting hashtags using automatically created training data".
"""
_URL = "https://raw.githubusercontent.com/ruanchaves/hashformers/master/datasets/SNAP.Hashtags.Segmented.w.Heuristics.txt"

class Snap(datasets.GeneratorBasedBuilder):

    VERSION = datasets.Version("1.0.0")

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "index": datasets.Value("int32"),
                    "hashtag": datasets.Value("string"),
                    "segmentation": datasets.Value("string")
                }
            ),
            supervised_keys=None,
            homepage="https://github.com/ardax/hashtag-segmentor",
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        downloaded_files = dl_manager.download(_URL)
        return [
            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files}),
        ]

    def _generate_examples(self, filepath):

        with open(filepath, 'r') as f:
            for idx, line in enumerate(f):
                yield idx, {
                    "index": idx,
                    "hashtag": line.strip().replace(" ", ""),
                    "segmentation": line.strip()
                }