# coding=utf-8
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""TODO: Add a description here."""


import csv
import json
import os
import re
from readline import parse_and_bind

import datasets


# TODO: Add BibTeX citation
# Find for instance the citation on arxiv or on the dataset repo/website
_CITATION = """\
@inproceedings{thomson-etal-2020-sportsett,
    title = "{S}port{S}ett:Basketball - A robust and maintainable data-set for Natural Language Generation",
    author = "Thomson, Craig  and
      Reiter, Ehud  and
      Sripada, Somayajulu",
    booktitle = "Proceedings of the Workshop on Intelligent Information Processing and Natural Language Generation",
    month = sep,
    year = "2020",
    address = "Santiago de Compostela, Spain",
    publisher = "Association for Computational Lingustics",
    url = "https://aclanthology.org/2020.intellang-1.4",
    pages = "32--40",
}
"""

# TODO: Add description of the dataset here
# You can copy an official description
_DESCRIPTION = """\
SportSett:Basketball dataset for Data-to-Text Generation contains NBA games stats aligned with their human written summaries.
"""

# TODO: Add a link to an official homepage for the dataset here
_HOMEPAGE = "https://github.com/nlgcat/sport_sett_basketball"

# TODO: Add the licence for the dataset here if you can find it
_LICENSE = ""

# TODO: Add link to the official dataset URLs here
# The HuggingFace dataset library don't host the datasets but only point to the original files
# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
_URLs = {
    "train": "train.jsonl",
    "validation": "validation.jsonl",
    "test": "test.jsonl"
}

# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
class SportsettBasketball(datasets.GeneratorBasedBuilder):
    """SportSett:Basketball datatset for Data-to-Text Generation."""

    VERSION = datasets.Version("1.1.0")

    def _info(self):
        features = datasets.Features(
            {
                "sportsett_id": datasets.Value("string"),
                "gem_id": datasets.Value("string"),
                "game": {
                    "day": datasets.Value("string"),
                    "month": datasets.Value("string"),
                    "year": datasets.Value("string"),
                    "dayname": datasets.Value("string"),
                    "season": datasets.Value("string"),
                    "stadium": datasets.Value("string"),
                    "city": datasets.Value("string"),
                    "state": datasets.Value("string"),
                    "attendance": datasets.Value("string"),
                    "capacity": datasets.Value("string"),
                    "game_id": datasets.Value("string")
                },
                "teams": {
                    "home": {
                        "name": datasets.Value("string"),
                        "place": datasets.Value("string"),
                        "conference": datasets.Value("string"),
                        "division": datasets.Value("string"),
                        "wins": datasets.Value("string"),
                        "losses": datasets.Value("string"),
                        "conference_standing": datasets.Value("int32"),
                        "game_number": datasets.Value("string"),
                        "previous_game_id": datasets.Value("string"),
                        "next_game_id": datasets.Value("string"),
                        "line_score": {
                            "game": {
                                "FG3A": datasets.Value("string"),
                                "FG3M": datasets.Value("string"),
                                "FG3_PCT": datasets.Value("string"),
                                "FGA": datasets.Value("string"),
                                "FGM": datasets.Value("string"),
                                "FG_PCT": datasets.Value("string"),
                                "FTA": datasets.Value("string"),
                                "FTM": datasets.Value("string"),
                                "FT_PCT": datasets.Value("string"),
                                "DREB": datasets.Value("string"),
                                "OREB": datasets.Value("string"),
                                "TREB": datasets.Value("string"),
                                "BLK": datasets.Value("string"),
                                "AST": datasets.Value("string"),
                                "STL": datasets.Value("string"),
                                "TOV": datasets.Value("string"),
                                "PF": datasets.Value("string"),
                                "PTS": datasets.Value("string"),
                                "MIN": datasets.Value("string")
                            }, 
                            "H1": {
                                "FG3A": datasets.Value("string"),
                                "FG3M": datasets.Value("string"),
                                "FG3_PCT": datasets.Value("string"),
                                "FGA": datasets.Value("string"),
                                "FGM": datasets.Value("string"),
                                "FG_PCT": datasets.Value("string"),
                                "FTA": datasets.Value("string"),
                                "FTM": datasets.Value("string"),
                                "FT_PCT": datasets.Value("string"),
                                "DREB": datasets.Value("string"),
                                "OREB": datasets.Value("string"),
                                "TREB": datasets.Value("string"),
                                "BLK": datasets.Value("string"),
                                "AST": datasets.Value("string"),
                                "STL": datasets.Value("string"),
                                "TOV": datasets.Value("string"),
                                "PTS": datasets.Value("string"),
                                "MIN": datasets.Value("string")
                            }, 
                            "H2": {
                                "FG3A": datasets.Value("string"),
                                "FG3M": datasets.Value("string"),
                                "FG3_PCT": datasets.Value("string"),
                                "FGA": datasets.Value("string"),
                                "FGM": datasets.Value("string"),
                                "FG_PCT": datasets.Value("string"),
                                "FTA": datasets.Value("string"),
                                "FTM": datasets.Value("string"),
                                "FT_PCT": datasets.Value("string"),
                                "DREB": datasets.Value("string"),
                                "OREB": datasets.Value("string"),
                                "TREB": datasets.Value("string"),
                                "BLK": datasets.Value("string"),
                                "AST": datasets.Value("string"),
                                "STL": datasets.Value("string"),
                                "TOV": datasets.Value("string"),
                                "PTS": datasets.Value("string"),
                                "MIN": datasets.Value("string")
                            },
                            "Q1": {
                                "FG3A": datasets.Value("string"),
                                "FG3M": datasets.Value("string"),
                                "FG3_PCT": datasets.Value("string"),
                                "FGA": datasets.Value("string"),
                                "FGM": datasets.Value("string"),
                                "FG_PCT": datasets.Value("string"),
                                "FTA": datasets.Value("string"),
                                "FTM": datasets.Value("string"),
                                "FT_PCT": datasets.Value("string"),
                                "DREB": datasets.Value("string"),
                                "OREB": datasets.Value("string"),
                                "TREB": datasets.Value("string"),
                                "BLK": datasets.Value("string"),
                                "AST": datasets.Value("string"),
                                "STL": datasets.Value("string"),
                                "TOV": datasets.Value("string"),
                                "PTS": datasets.Value("string"),
                                "MIN": datasets.Value("string")
                            },
                            "Q2": {
                                "FG3A": datasets.Value("string"),
                                "FG3M": datasets.Value("string"),
                                "FG3_PCT": datasets.Value("string"),
                                "FGA": datasets.Value("string"),
                                "FGM": datasets.Value("string"),
                                "FG_PCT": datasets.Value("string"),
                                "FTA": datasets.Value("string"),
                                "FTM": datasets.Value("string"),
                                "FT_PCT": datasets.Value("string"),
                                "DREB": datasets.Value("string"),
                                "OREB": datasets.Value("string"),
                                "TREB": datasets.Value("string"),
                                "BLK": datasets.Value("string"),
                                "AST": datasets.Value("string"),
                                "STL": datasets.Value("string"),
                                "TOV": datasets.Value("string"),
                                "PTS": datasets.Value("string"),
                                "MIN": datasets.Value("string")
                            },
                            "Q3": {
                                "FG3A": datasets.Value("string"),
                                "FG3M": datasets.Value("string"),
                                "FG3_PCT": datasets.Value("string"),
                                "FGA": datasets.Value("string"),
                                "FGM": datasets.Value("string"),
                                "FG_PCT": datasets.Value("string"),
                                "FTA": datasets.Value("string"),
                                "FTM": datasets.Value("string"),
                                "FT_PCT": datasets.Value("string"),
                                "DREB": datasets.Value("string"),
                                "OREB": datasets.Value("string"),
                                "TREB": datasets.Value("string"),
                                "BLK": datasets.Value("string"),
                                "AST": datasets.Value("string"),
                                "STL": datasets.Value("string"),
                                "TOV": datasets.Value("string"),
                                "PTS": datasets.Value("string"),
                                "MIN": datasets.Value("string")
                            },
                            "Q4": {
                                "FG3A": datasets.Value("string"),
                                "FG3M": datasets.Value("string"),
                                "FG3_PCT": datasets.Value("string"),
                                "FGA": datasets.Value("string"),
                                "FGM": datasets.Value("string"),
                                "FG_PCT": datasets.Value("string"),
                                "FTA": datasets.Value("string"),
                                "FTM": datasets.Value("string"),
                                "FT_PCT": datasets.Value("string"),
                                "DREB": datasets.Value("string"),
                                "OREB": datasets.Value("string"),
                                "TREB": datasets.Value("string"),
                                "BLK": datasets.Value("string"),
                                "AST": datasets.Value("string"),
                                "STL": datasets.Value("string"),
                                "TOV": datasets.Value("string"),
                                "PTS": datasets.Value("string"),
                                "MIN": datasets.Value("string")
                            },
                            "OT": {
                                "FG3A": datasets.Value("string"),
                                "FG3M": datasets.Value("string"),
                                "FG3_PCT": datasets.Value("string"),
                                "FGA": datasets.Value("string"),
                                "FGM": datasets.Value("string"),
                                "FG_PCT": datasets.Value("string"),
                                "FTA": datasets.Value("string"),
                                "FTM": datasets.Value("string"),
                                "FT_PCT": datasets.Value("string"),
                                "DREB": datasets.Value("string"),
                                "OREB": datasets.Value("string"),
                                "TREB": datasets.Value("string"),
                                "BLK": datasets.Value("string"),
                                "AST": datasets.Value("string"),
                                "STL": datasets.Value("string"),
                                "TOV": datasets.Value("string"),
                                "PTS": datasets.Value("string"),
                                "MIN": datasets.Value("string")
                            }
                        }, 
                        "box_score": [                            
                            {
                                "first_name": datasets.Value("string"),
                                "last_name": datasets.Value("string"),
                                "name": datasets.Value("string"),
                                "starter": datasets.Value("string"),
                                "MIN": datasets.Value("string"),
                                "FGM": datasets.Value("string"),
                                "FGA": datasets.Value("string"),
                                "FG_PCT": datasets.Value("string"),
                                "FG3M": datasets.Value("string"),
                                "FG3A": datasets.Value("string"),
                                "FG3_PCT": datasets.Value("string"),
                                "FTM": datasets.Value("string"),
                                "FTA": datasets.Value("string"),
                                "FT_PCT": datasets.Value("string"),
                                "OREB": datasets.Value("string"),
                                "DREB": datasets.Value("string"),
                                "TREB": datasets.Value("string"),
                                "AST": datasets.Value("string"),
                                "STL": datasets.Value("string"),
                                "BLK": datasets.Value("string"),
                                "TOV": datasets.Value("string"),
                                "PF": datasets.Value("string"),
                                "PTS": datasets.Value("string"),
                                "+/-": datasets.Value("string"),
                                "DOUBLE": datasets.Value("string")
                            }
                        ], 
                        "next_game": {
                            "day": datasets.Value("string"),
                            "month": datasets.Value("string"),
                            "year": datasets.Value("string"),
                            "dayname": datasets.Value("string"),
                            "stadium": datasets.Value("string"),
                            "city": datasets.Value("string"),
                            "opponent_name": datasets.Value("string"),
                            "opponent_place": datasets.Value("string"),
                            "is_home": datasets.Value("string"),
                        }
                    },
                    "vis": {
                        "name": datasets.Value("string"),
                        "place": datasets.Value("string"),
                        "conference": datasets.Value("string"),
                        "division": datasets.Value("string"),
                        "wins": datasets.Value("string"),
                        "losses": datasets.Value("string"),
                        "conference_standing": datasets.Value("int32"),
                        "game_number": datasets.Value("string"),
                        "previous_game_id": datasets.Value("string"),
                        "next_game_id": datasets.Value("string"),
                        "line_score": {
                            "game": {
                                "FG3A": datasets.Value("string"),
                                "FG3M": datasets.Value("string"),
                                "FG3_PCT": datasets.Value("string"),
                                "FGA": datasets.Value("string"),
                                "FGM": datasets.Value("string"),
                                "FG_PCT": datasets.Value("string"),
                                "FTA": datasets.Value("string"),
                                "FTM": datasets.Value("string"),
                                "FT_PCT": datasets.Value("string"),
                                "DREB": datasets.Value("string"),
                                "OREB": datasets.Value("string"),
                                "TREB": datasets.Value("string"),
                                "BLK": datasets.Value("string"),
                                "AST": datasets.Value("string"),
                                "STL": datasets.Value("string"),
                                "TOV": datasets.Value("string"),
                                "PF": datasets.Value("string"),
                                "PTS": datasets.Value("string"),
                                "MIN": datasets.Value("string")
                            }, 
                            "H1": {
                                "FG3A": datasets.Value("string"),
                                "FG3M": datasets.Value("string"),
                                "FG3_PCT": datasets.Value("string"),
                                "FGA": datasets.Value("string"),
                                "FGM": datasets.Value("string"),
                                "FG_PCT": datasets.Value("string"),
                                "FTA": datasets.Value("string"),
                                "FTM": datasets.Value("string"),
                                "FT_PCT": datasets.Value("string"),
                                "DREB": datasets.Value("string"),
                                "OREB": datasets.Value("string"),
                                "TREB": datasets.Value("string"),
                                "BLK": datasets.Value("string"),
                                "AST": datasets.Value("string"),
                                "STL": datasets.Value("string"),
                                "TOV": datasets.Value("string"),
                                "PTS": datasets.Value("string"),
                                "MIN": datasets.Value("string")
                            }, 
                            "H2": {
                                "FG3A": datasets.Value("string"),
                                "FG3M": datasets.Value("string"),
                                "FG3_PCT": datasets.Value("string"),
                                "FGA": datasets.Value("string"),
                                "FGM": datasets.Value("string"),
                                "FG_PCT": datasets.Value("string"),
                                "FTA": datasets.Value("string"),
                                "FTM": datasets.Value("string"),
                                "FT_PCT": datasets.Value("string"),
                                "DREB": datasets.Value("string"),
                                "OREB": datasets.Value("string"),
                                "TREB": datasets.Value("string"),
                                "BLK": datasets.Value("string"),
                                "AST": datasets.Value("string"),
                                "STL": datasets.Value("string"),
                                "TOV": datasets.Value("string"),
                                "PTS": datasets.Value("string"),
                                "MIN": datasets.Value("string")
                            },
                            "Q1": {
                                "FG3A": datasets.Value("string"),
                                "FG3M": datasets.Value("string"),
                                "FG3_PCT": datasets.Value("string"),
                                "FGA": datasets.Value("string"),
                                "FGM": datasets.Value("string"),
                                "FG_PCT": datasets.Value("string"),
                                "FTA": datasets.Value("string"),
                                "FTM": datasets.Value("string"),
                                "FT_PCT": datasets.Value("string"),
                                "DREB": datasets.Value("string"),
                                "OREB": datasets.Value("string"),
                                "TREB": datasets.Value("string"),
                                "BLK": datasets.Value("string"),
                                "AST": datasets.Value("string"),
                                "STL": datasets.Value("string"),
                                "TOV": datasets.Value("string"),
                                "PTS": datasets.Value("string"),
                                "MIN": datasets.Value("string")
                            },
                            "Q2": {
                                "FG3A": datasets.Value("string"),
                                "FG3M": datasets.Value("string"),
                                "FG3_PCT": datasets.Value("string"),
                                "FGA": datasets.Value("string"),
                                "FGM": datasets.Value("string"),
                                "FG_PCT": datasets.Value("string"),
                                "FTA": datasets.Value("string"),
                                "FTM": datasets.Value("string"),
                                "FT_PCT": datasets.Value("string"),
                                "DREB": datasets.Value("string"),
                                "OREB": datasets.Value("string"),
                                "TREB": datasets.Value("string"),
                                "BLK": datasets.Value("string"),
                                "AST": datasets.Value("string"),
                                "STL": datasets.Value("string"),
                                "TOV": datasets.Value("string"),
                                "PTS": datasets.Value("string"),
                                "MIN": datasets.Value("string")
                            },
                            "Q3": {
                                "FG3A": datasets.Value("string"),
                                "FG3M": datasets.Value("string"),
                                "FG3_PCT": datasets.Value("string"),
                                "FGA": datasets.Value("string"),
                                "FGM": datasets.Value("string"),
                                "FG_PCT": datasets.Value("string"),
                                "FTA": datasets.Value("string"),
                                "FTM": datasets.Value("string"),
                                "FT_PCT": datasets.Value("string"),
                                "DREB": datasets.Value("string"),
                                "OREB": datasets.Value("string"),
                                "TREB": datasets.Value("string"),
                                "BLK": datasets.Value("string"),
                                "AST": datasets.Value("string"),
                                "STL": datasets.Value("string"),
                                "TOV": datasets.Value("string"),
                                "PTS": datasets.Value("string"),
                                "MIN": datasets.Value("string")
                            },
                            "Q4": {
                                "FG3A": datasets.Value("string"),
                                "FG3M": datasets.Value("string"),
                                "FG3_PCT": datasets.Value("string"),
                                "FGA": datasets.Value("string"),
                                "FGM": datasets.Value("string"),
                                "FG_PCT": datasets.Value("string"),
                                "FTA": datasets.Value("string"),
                                "FTM": datasets.Value("string"),
                                "FT_PCT": datasets.Value("string"),
                                "DREB": datasets.Value("string"),
                                "OREB": datasets.Value("string"),
                                "TREB": datasets.Value("string"),
                                "BLK": datasets.Value("string"),
                                "AST": datasets.Value("string"),
                                "STL": datasets.Value("string"),
                                "TOV": datasets.Value("string"),
                                "PTS": datasets.Value("string"),
                                "MIN": datasets.Value("string")
                            },
                            "OT": {
                                "FG3A": datasets.Value("string"),
                                "FG3M": datasets.Value("string"),
                                "FG3_PCT": datasets.Value("string"),
                                "FGA": datasets.Value("string"),
                                "FGM": datasets.Value("string"),
                                "FG_PCT": datasets.Value("string"),
                                "FTA": datasets.Value("string"),
                                "FTM": datasets.Value("string"),
                                "FT_PCT": datasets.Value("string"),
                                "DREB": datasets.Value("string"),
                                "OREB": datasets.Value("string"),
                                "TREB": datasets.Value("string"),
                                "BLK": datasets.Value("string"),
                                "AST": datasets.Value("string"),
                                "STL": datasets.Value("string"),
                                "TOV": datasets.Value("string"),
                                "PTS": datasets.Value("string"),
                                "MIN": datasets.Value("string")
                            }
                        }, 
                        "box_score": [                            
                            {
                                "first_name": datasets.Value("string"),
                                "last_name": datasets.Value("string"),
                                "name": datasets.Value("string"),
                                "starter": datasets.Value("string"),
                                "MIN": datasets.Value("string"),
                                "FGM": datasets.Value("string"),
                                "FGA": datasets.Value("string"),
                                "FG_PCT": datasets.Value("string"),
                                "FG3M": datasets.Value("string"),
                                "FG3A": datasets.Value("string"),
                                "FG3_PCT": datasets.Value("string"),
                                "FTM": datasets.Value("string"),
                                "FTA": datasets.Value("string"),
                                "FT_PCT": datasets.Value("string"),
                                "OREB": datasets.Value("string"),
                                "DREB": datasets.Value("string"),
                                "TREB": datasets.Value("string"),
                                "AST": datasets.Value("string"),
                                "STL": datasets.Value("string"),
                                "BLK": datasets.Value("string"),
                                "TOV": datasets.Value("string"),
                                "PF": datasets.Value("string"),
                                "PTS": datasets.Value("string"),
                                "+/-": datasets.Value("string"),
                                "DOUBLE": datasets.Value("string")
                            }
                        ], 
                        "next_game": {
                            "day": datasets.Value("string"),
                            "month": datasets.Value("string"),
                            "year": datasets.Value("string"),
                            "dayname": datasets.Value("string"),
                            "stadium": datasets.Value("string"),
                            "city": datasets.Value("string"),
                            "opponent_name": datasets.Value("string"),
                            "opponent_place": datasets.Value("string"),
                            "is_home": datasets.Value("string"),
                        }
                    }
                },
                "summaries": datasets.Sequence(datasets.Value("string")),
                "linearized_input": datasets.Value("string")
            }
        )
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=features,
            supervised_keys=None,
            homepage=_HOMEPAGE,
            license=_LICENSE,
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        """Returns SplitGenerators."""
        # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
        # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name

        # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLs
        # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
        # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
        data_dir = dl_manager.download_and_extract(_URLs)
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                # These kwargs will be passed to _generate_examples
                gen_kwargs={
                    "filepath": data_dir["train"],
                    "split": "train",
                },
            ),
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                # These kwargs will be passed to _generate_examples
                gen_kwargs={
                    "filepath": data_dir["test"],
                    "split": "test"
                },
            ),
            datasets.SplitGenerator(
                name=datasets.Split.VALIDATION,
                # These kwargs will be passed to _generate_examples
                gen_kwargs={
                    "filepath": data_dir["validation"],
                    "split": "validation",
                },
            ),
        ]

    def tokenize_initials(self, value):
        attrib_value = re.sub(r"(\w)\.(\w)\.", r"\g<1>. \g<2>.", value)
        return attrib_value

    def sort_players_by_pts(self, entry, type='HOME'):
        """
        Sort players by points and return the indices sorted by points
        bs --> [{'pts': 10}, {'pts': 30}, {'pts': 35}, {'pts': 5}]
        return --> [2, 1, 0, 3]
        """
        all_pts = [int(item['PTS']) for item in entry['teams'][type.lower()]['box_score']]
        all_pts1 = [[item, idx] for idx, item in enumerate(all_pts)]
        all_pts1.sort()
        all_pts1.reverse()
        return [item[1] for item in all_pts1]

    def get_one_player_data(self, player_stats, team_name, rank):
        """
        player_line = "<PLAYER> %s <TEAM> %s <POS> %s <RANK> %s <MIN> %d <PTS> %d <FG> %d %d %d <FG3> %d %d %d \
                        <FT> %d %d %d <REB> %d <AST> %d <STL> %s <BLK> %d <DREB> %d <OREB> %d <TO> %d"
        """
        pos = f'STARTER YES' if player_stats['starter'] == True else f'STARTER NO'
        player_line = f"<PLAYER> {self.tokenize_initials(player_stats['name'])} <TEAM> {team_name} <POS> {pos} <RANK> {rank}"
        player_line = f"{player_line} <MIN> {player_stats['MIN']} <PTS> {player_stats['PTS']} <FG> {player_stats['FGM']} {player_stats['FGA']} {player_stats['FG_PCT']}"
        player_line = f"{player_line} <FG3> {player_stats['FG3M']} {player_stats['FG3A']} {player_stats['FG3_PCT']}"
        player_line = f"{player_line} <FT> {player_stats['FTM']} {player_stats['FTA']} {player_stats['FT_PCT']}"
        player_line = f"{player_line} <REB> {player_stats['TREB']} <AST> {player_stats['AST']} <STL> {player_stats['STL']}"
        player_line = f"{player_line} <BLK> {player_stats['BLK']} <DREB> {player_stats['DREB']} <OREB> {player_stats['OREB']} <TO> {player_stats['TOV']}"
        return player_line

    def get_box_score(self, entry, type='HOME', winner='HOME'):
        bs = entry['teams'][type.lower()]['box_score']
        team_name = f"{entry['teams'][type.lower()]['place']} {entry['teams'][type.lower()]['name']}"
        sorted_idx = self.sort_players_by_pts(entry, type)
        player_lines = [self.get_one_player_data(bs[idx], team_name, f'{type}-{rank}') for rank, idx in enumerate(sorted_idx)]
        return ' '.join(player_lines)

    def get_team_line(self, entry, type='HOME', winner='HOME'):
        """
        team_line = "%s <TEAM> %s <CITY> %s <TEAM-RESULT> %s <TEAM-PTS> %d <WINS-LOSSES> %d %d <QTRS> %d %d %d %d \
                        <TEAM-AST> %d <3PT> %d <TEAM-FG> %d <TEAM-FT> %d <TEAM-REB> %d <TEAM-TO> %d"
        """
        line_score = entry['teams'][type.lower()]['line_score']['game']
        team_line = f"<TEAM> {entry['teams'][type.lower()]['name']} <CITY> {entry['teams'][type.lower()]['place']}"
        if winner == type:
            team_line = f"{team_line} <TEAM-RESULT> won"
        else:
            team_line = f"{team_line} <TEAM-RESULT> lost"
        team_line = f"{team_line} <TEAM-PTS> {line_score['PTS']} <WINS-LOSSES> {entry['teams'][type.lower()]['wins']} {entry['teams'][type.lower()]['losses']}"
        team_line = f"{team_line} <QTRS> {entry['teams'][type.lower()]['line_score']['Q1']['PTS']} {entry['teams'][type.lower()]['line_score']['Q2']['PTS']}" 
        team_line = f"{team_line} {entry['teams'][type.lower()]['line_score']['Q3']['PTS']} {entry['teams'][type.lower()]['line_score']['Q4']['PTS']}"
        team_line = f"{team_line} <TEAM-AST> {line_score['AST']} <3PT> {line_score['FG3M']} <TEAM-FG> {line_score['FGM']} <TEAM-FT> {line_score['FTM']}"
        team_line = f"{team_line} <TEAM-REB> {line_score['TREB']} <TEAM-TO> {line_score['TOV']}"
        return team_line

    def get_box_and_line_scores(self, entry):
        """Get line- & box- scores data for a single game"""
        
        home_team_pts = entry['teams']['home']['line_score']['game']['PTS']
        vis_team_pts = entry['teams']['home']['line_score']['game']['PTS']
        winner = 'HOME' if int(home_team_pts) > int(vis_team_pts) else 'VIS'
        
        home_team_line = self.get_team_line(entry, type='HOME', winner=winner)
        vis_team_line = self.get_team_line(entry, type='VIS', winner=winner)

        home_box_score = self.get_box_score(entry, type='HOME', winner=winner)
        vis_box_score = self.get_box_score(entry, type='VIS', winner=winner)
        
        return home_team_line, vis_team_line, home_box_score, vis_box_score

    def get_game_data(self, entry):
        """Get game data for a single game"""
        game_date = f"{entry['day']} {entry['month']} {entry['year']}"
        game_day = entry['dayname']
        game_stadium = entry['stadium']
        game_city = entry['city']
        return f"<DATE> {game_date} <DAY> {game_day} <STADIUM> {game_stadium} <CITY> {game_city}"

    def get_next_game_data_of_a_team(self, entry):
        """
        next_game_line = "<NEXT-GAME-DATE> %s <NEXT-GAME-DAY> %s <NEXT-GAME-STADIUM> %s <NEXT-GAME-CITY> %s"
        """
        next_game_date = f"{entry['day']} {entry['month']} {entry['year']}"
        next_game_is_home = 'yes' if entry['is_home'] == 'True' else 'no'
        next_game_line = f"<NEXT-DATE> {next_game_date} <NEXT-DAY> {entry['dayname']}"
        next_game_line = f"{next_game_line} <NEXT-STADIUM> {entry['stadium']} <NEXT-CITY> {entry['city']}"
        next_game_line = f"{next_game_line} <NEXT-OPPONENT-PLACE> {entry['opponent_place']} <NEXT-OPPONENT-NAME> {entry['opponent_name']}"
        next_game_line = f"{next_game_line} <NEXT-IS-HOME> {next_game_is_home}"
        return next_game_line

    def get_next_game_info(self, entry):
        """
        Get next game data for both teams in a game.
        In case of no next game, all values will be ''.
        """
        home_next_game = self.get_next_game_data_of_a_team(entry['teams']['home']['next_game'])
        vis_next_game = self.get_next_game_data_of_a_team(entry['teams']['vis']['next_game'])
        return home_next_game, vis_next_game

    def linearize_input(self, entry):
        """
        Linearizes the input to the model.
        """
        game_data = self.get_game_data(entry['game'])
        home_line, vis_line, home_box_score, vis_box_score = self.get_box_and_line_scores(entry)
        home_next, vis_next = self.get_next_game_info(entry)
        linearized_input = f"<GAME> {game_data} <HOME> {home_line} <NEXT-HOME> {home_next} <VIS> {vis_line} <VIS-NEXT> {vis_next} {home_box_score} {vis_box_score}"
        return linearized_input.replace("  ", "")

    def _generate_examples(
        self, filepath, split  # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
    ):
        """ Yields examples as (key, example) tuples. """
        # This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
        # The `key` is here for legacy reason (tfds) and is not important in itself.

        # js = json.load(open(filepath, encoding="utf-8"))
        with open(filepath, encoding="utf-8") as f:
            for id_, row in enumerate(f):
                data = json.loads(row)
                yield id_, {
                    "sportsett_id": data["sportsett_id"],
                    "gem_id": data["gem_id"],
                    "game": data["game"],
                    "teams": data["teams"],
                    "summaries": data["summaries"],
                    "linearized_input": self.linearize_input(data)
                }