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"""Dataloader for RotoWire English-German dataset.""" |
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import json |
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import os |
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import datasets |
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import re |
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_CITATION = """\ |
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@article{hayashi2019findings, |
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title={Findings of the Third Workshop on Neural Generation and Translation}, |
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author={Hayashi, Hiroaki and Oda, Yusuke and Birch, Alexandra and Konstas, Ioannis and Finch, Andrew and Luong, Minh-Thang and Neubig, Graham and Sudoh, Katsuhito}, |
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journal={EMNLP-IJCNLP 2019}, |
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pages={1}, |
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year={2019} |
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} |
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""" |
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_DESCRIPTION = """\ |
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Dataset for the WNGT 2019 DGT shared task on "Document-Level Generation and Translation”. |
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""" |
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_HOMEPAGE = "https://sites.google.com/view/wngt19/dgt-task" |
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_LICENSE = "CC-BY 4.0" |
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_URLs = { |
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"train": "train.json", |
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"validation": "validation.json", |
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"test": "test.json" |
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} |
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NUM_PLAYERS = 13 |
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player_line = "<PLAYER> %s <TEAM> %s <POS> %s <RANK> %s <MIN> %d <PTS> %d <FG> %d %d %d <FG3> %d %d %d " \ |
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"<FT> %d %d %d <REB> %d <AST> %d <STL> %s " \ |
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"<BLK> %d <DREB> %d <OREB> %d <TO> %d" |
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team_line = "%s <TEAM> %s <CITY> %s <TEAM-RESULT> %s <TEAM-PTS> %d <WINS-LOSSES> %d %d <QTRS> %d %d %d %d " \ |
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"<TEAM-AST> %d <3PT> %d <TEAM-FG> %d <TEAM-FT> %d <TEAM-REB> %d <TEAM-TO> %d" |
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class RotowireEnglishGerman(datasets.GeneratorBasedBuilder): |
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"""Dataset for WNGT2019 shared task on Document-level Generation and Translation.""" |
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VERSION = datasets.Version("1.1.0") |
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def _info(self): |
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box_score_entry = {str(i): datasets.Value("string") for i in range(26)} |
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box_score_features = { |
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"FIRST_NAME": box_score_entry, |
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"MIN": box_score_entry, |
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"FGM": box_score_entry, |
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"REB": box_score_entry, |
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"FG3A": box_score_entry, |
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"PLAYER_NAME": box_score_entry, |
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"AST": box_score_entry, |
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"FG3M": box_score_entry, |
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"OREB": box_score_entry, |
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"TO": box_score_entry, |
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"START_POSITION": box_score_entry, |
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"PF": box_score_entry, |
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"PTS": box_score_entry, |
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"FGA": box_score_entry, |
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"STL": box_score_entry, |
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"FTA": box_score_entry, |
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"BLK": box_score_entry, |
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"DREB": box_score_entry, |
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"FTM": box_score_entry, |
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"FT_PCT": box_score_entry, |
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"FG_PCT": box_score_entry, |
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"FG3_PCT": box_score_entry, |
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"SECOND_NAME": box_score_entry, |
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"TEAM_CITY": box_score_entry, |
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} |
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line_features = { |
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"TEAM-PTS_QTR2": datasets.Value("string"), |
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"TEAM-FT_PCT": datasets.Value("string"), |
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"TEAM-PTS_QTR1": datasets.Value("string"), |
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"TEAM-PTS_QTR4": datasets.Value("string"), |
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"TEAM-PTS_QTR3": datasets.Value("string"), |
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"TEAM-CITY": datasets.Value("string"), |
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"TEAM-PTS": datasets.Value("string"), |
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"TEAM-AST": datasets.Value("string"), |
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"TEAM-LOSSES": datasets.Value("string"), |
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"TEAM-NAME": datasets.Value("string"), |
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"TEAM-WINS": datasets.Value("string"), |
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"TEAM-REB": datasets.Value("string"), |
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"TEAM-TOV": datasets.Value("string"), |
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"TEAM-FG3_PCT": datasets.Value("string"), |
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"TEAM-FG_PCT": datasets.Value("string") |
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} |
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features = datasets.Features( |
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{ |
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"id":datasets.Value("string"), |
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"gem_id":datasets.Value("string"), |
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"home_name": datasets.Value("string"), |
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"box_score": box_score_features, |
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"vis_name": datasets.Value("string"), |
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"summary": datasets.Sequence(datasets.Value("string")), |
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"home_line": line_features, |
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"home_city": datasets.Value("string"), |
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"vis_line": line_features, |
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"vis_city": datasets.Value("string"), |
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"day": datasets.Value("string"), |
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"detok_summary_org": datasets.Value("string"), |
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"detok_summary": datasets.Value("string"), |
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"summary_en": datasets.Sequence(datasets.Value("string")), |
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"sentence_end_index_en": datasets.Sequence(datasets.Value("int32")), |
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"summary_de": datasets.Sequence(datasets.Value("string")), |
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"sentence_end_index_de": datasets.Sequence(datasets.Value("int32")) |
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} |
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) |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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supervised_keys=None, |
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homepage=_HOMEPAGE, |
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license=_LICENSE, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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"""Returns SplitGenerators.""" |
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data_dir = dl_manager.download_and_extract(_URLs) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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"filepath": data_dir["train"], |
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"split": "train", |
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}, |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={ |
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"filepath": data_dir["test"], |
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"split": "test" |
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}, |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.VALIDATION, |
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gen_kwargs={ |
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"filepath": data_dir["validation"], |
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"split": "validation", |
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}, |
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), |
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] |
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def handle_na(self, value): |
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return "0" if value == "N/A" else value |
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def tokenize_initials(self, value): |
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attrib_value = re.sub(r"(\w)\.(\w)\.", r"\g<1>. \g<2>.", value) |
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return attrib_value |
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def sort_points(self, entry): |
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home_team_map = {} |
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vis_team_map = {} |
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bs = entry["box_score"] |
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nplayers = 0 |
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for k, v in bs["PTS"].items(): |
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nplayers += 1 |
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num_home, num_vis = 0, 0 |
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home_pts = [] |
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vis_pts = [] |
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for i in range(nplayers): |
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player_city = entry["box_score"]["TEAM_CITY"][str(i)] |
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player_name = bs["PLAYER_NAME"][str(i)] |
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if player_city == entry["home_city"]: |
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if num_home < NUM_PLAYERS: |
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home_team_map[player_name] = bs["PTS"][str(i)] |
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if bs["PTS"][str(i)] != "N/A": |
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home_pts.append(int(bs["PTS"][str(i)])) |
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num_home += 1 |
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else: |
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if num_vis < NUM_PLAYERS: |
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vis_team_map[player_name] = bs["PTS"][str(i)] |
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if bs["PTS"][str(i)] != "N/A": |
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vis_pts.append(int(bs["PTS"][str(i)])) |
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num_vis += 1 |
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if entry["home_city"] == entry["vis_city"] and entry["home_city"] == "Los Angeles": |
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num_home, num_vis = 0, 0 |
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for i in range(nplayers): |
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player_name = bs["PLAYER_NAME"][str(i)] |
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if num_vis < NUM_PLAYERS: |
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vis_team_map[player_name] = bs["PTS"][str(i)] |
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if bs["PTS"][str(i)] != "N/A": |
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vis_pts.append(int(bs["PTS"][str(i)])) |
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num_vis += 1 |
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elif num_home < NUM_PLAYERS: |
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home_team_map[player_name] = bs["PTS"][str(i)] |
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if bs["PTS"][str(i)] != "N/A": |
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home_pts.append(int(bs["PTS"][str(i)])) |
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num_home += 1 |
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home_seq = sorted(home_pts, reverse=True) |
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vis_seq = sorted(vis_pts, reverse=True) |
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return home_team_map, vis_team_map, home_seq, vis_seq |
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def sort_player_and_points(self, entry): |
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bs = entry["box_score"] |
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nplayers = 0 |
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for k, v in bs["PTS"].items(): |
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nplayers += 1 |
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num_home, num_vis = 0, 0 |
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home_pts = [] |
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vis_pts = [] |
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for i in range(nplayers): |
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player_city = entry["box_score"]["TEAM_CITY"][str(i)] |
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player_name = bs["PLAYER_NAME"][str(i)] |
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if player_city == entry["home_city"]: |
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if num_home < NUM_PLAYERS: |
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if bs["PTS"][str(i)] != "N/A": |
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home_pts.append((player_name, int(bs["PTS"][str(i)]))) |
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else: |
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home_pts.append((player_name, -1)) |
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num_home += 1 |
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else: |
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if num_vis < NUM_PLAYERS: |
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if bs["PTS"][str(i)] != "N/A": |
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vis_pts.append((player_name, int(bs["PTS"][str(i)]))) |
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else: |
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vis_pts.append((player_name, -1)) |
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num_vis += 1 |
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if entry["home_city"] == entry["vis_city"] and entry["home_city"] == "Los Angeles": |
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num_home, num_vis = 0, 0 |
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for i in range(nplayers): |
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player_name = bs["PLAYER_NAME"][str(i)] |
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if num_vis < NUM_PLAYERS: |
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if bs["PTS"][str(i)] != "N/A": |
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vis_pts.append((player_name, int(bs["PTS"][str(i)]))) |
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else: |
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vis_pts.append((player_name, -1)) |
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num_vis += 1 |
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elif num_home < NUM_PLAYERS: |
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if bs["PTS"][str(i)] != "N/A": |
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home_pts.append((player_name, int(bs["PTS"][str(i)]))) |
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else: |
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home_pts.append((player_name, -1)) |
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num_home += 1 |
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home_seq = sorted(home_pts, key=lambda x: -x[1]) |
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vis_seq = sorted(vis_pts, key=lambda x: -x[1]) |
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return home_seq, vis_seq |
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def get_players(self, entry): |
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player_team_map = {} |
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bs = entry["box_score"] |
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nplayers = 0 |
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home_players, vis_players = [], [] |
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for k, v in entry["box_score"]["PTS"].items(): |
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nplayers += 1 |
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num_home, num_vis = 0, 0 |
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for i in range(nplayers): |
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player_city = entry["box_score"]["TEAM_CITY"][str(i)] |
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player_name = bs["PLAYER_NAME"][str(i)] |
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second_name = bs["SECOND_NAME"][str(i)] |
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first_name = bs["FIRST_NAME"][str(i)] |
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if player_city == entry["home_city"]: |
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if len(home_players) < NUM_PLAYERS: |
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home_players.append((player_name, second_name, |
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first_name)) |
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player_team_map[player_name] = " ".join( |
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[player_city, entry["home_line"]["TEAM-NAME"]]) |
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num_home += 1 |
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else: |
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if len(vis_players) < NUM_PLAYERS: |
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vis_players.append((player_name, second_name, |
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first_name)) |
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player_team_map[player_name] = " ".join( |
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[player_city, entry["vis_line"]["TEAM-NAME"]]) |
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num_vis += 1 |
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if entry["home_city"] == entry["vis_city"] and entry["home_city"] == "Los Angeles": |
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home_players, vis_players = [], [] |
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num_home, num_vis = 0, 0 |
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for i in range(nplayers): |
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player_name = bs["PLAYER_NAME"][str(i)] |
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second_name = bs["SECOND_NAME"][str(i)] |
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first_name = bs["FIRST_NAME"][str(i)] |
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if len(vis_players) < NUM_PLAYERS: |
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vis_players.append((player_name, second_name, |
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first_name)) |
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player_team_map[player_name] = " ".join( |
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["Los Angeles", entry["vis_line"]["TEAM-NAME"]]) |
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num_vis += 1 |
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elif len(home_players) < NUM_PLAYERS: |
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home_players.append((player_name, second_name, |
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first_name)) |
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player_team_map[player_name] = " ".join( |
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["Los Angeles", entry["home_line"]["TEAM-NAME"]]) |
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num_home += 1 |
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players = [] |
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for ii, player_list in enumerate([home_players, vis_players]): |
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for j in range(NUM_PLAYERS): |
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players.append(player_list[j] if j < len(player_list) else ("N/A", "N/A", "N/A")) |
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return players, player_team_map |
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def get_result_player(self, player_name, home_name, vis_name, home_won, player_team_map): |
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if player_team_map[player_name] == home_name: |
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result = "won" if home_won else "lost" |
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elif player_team_map[player_name] == vis_name: |
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result = "lost" if home_won else "won" |
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else: |
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assert False |
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return result |
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def get_box_score(self, entry): |
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box_score_ = entry["box_score"] |
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if int(entry["home_line"]["TEAM-PTS"]) > int(entry["vis_line"]["TEAM-PTS"]): |
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home_won = True |
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else: |
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home_won = False |
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descs = [] |
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desc = [] |
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if home_won: |
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home_line = self.get_team_line(entry["home_line"], "won", "home") |
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vis_line = self.get_team_line(entry["vis_line"], "lost", "vis") |
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else: |
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home_line = self.get_team_line(entry["home_line"], "lost", "home") |
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vis_line = self.get_team_line(entry["vis_line"], "won", "vis") |
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descs.append(home_line) |
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descs.append(vis_line) |
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players_list, player_team_map = self.get_players(entry) |
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home_team_map, vis_team_map, home_player_pts, vis_player_pts = self.sort_points(entry) |
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home_player_seq, vis_player_seq = self.sort_player_and_points(entry) |
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desc = [] |
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for player_name, _ in home_player_seq + vis_player_seq: |
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result = self.get_result_player(player_name, entry["home_city"] + " " + entry["home_line"]["TEAM-NAME"], |
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entry["vis_city"] + " " + entry["vis_line"]["TEAM-NAME"], home_won, |
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player_team_map) |
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player_line = self.get_player_line(box_score_, player_name, player_team_map, home_player_pts, |
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vis_player_pts, home_team_map, vis_team_map, result) |
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desc.append(player_line) |
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descs.extend(desc) |
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return descs |
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def get_rank(self, player_name, home_seq, vis_seq, home_team_map, vis_team_map, result): |
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if player_name in home_team_map: |
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if home_team_map[player_name] == 'N/A': |
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rank = 'HOME-DIDNTPLAY' |
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else: |
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rank = 'HOME-' + str(home_seq.index(int(home_team_map[player_name]))) |
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elif player_name in vis_team_map: |
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if vis_team_map[player_name] == 'N/A': |
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rank = 'VIS-DIDNTPLAY' |
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else: |
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rank = 'VIS-' + str(vis_seq.index(int(vis_team_map[player_name]))) |
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else: |
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print("player_name", player_name) |
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assert False |
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return rank |
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def get_player_line(self, bs, input_player_name, player_team_map, home_player_pts, vis_player_pts, home_team_map, |
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vis_team_map, result): |
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rank = self.get_rank(input_player_name, home_player_pts, vis_player_pts, home_team_map, vis_team_map, result) |
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player_names = list(bs["PLAYER_NAME"].items()) |
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player_found = False |
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player_tup = None |
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for (pid, name) in player_names: |
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if name == input_player_name: |
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player_tup = (self.tokenize_initials(name), player_team_map[input_player_name], |
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bs["START_POSITION"][pid], |
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rank, |
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int(self.handle_na(bs["MIN"][pid])), |
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int(self.handle_na(bs["PTS"][pid])), |
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int(self.handle_na(bs["FGM"][pid])), |
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int(self.handle_na(bs["FGA"][pid])), int(self.handle_na(bs["FG_PCT"][pid])), |
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int(self.handle_na(bs["FG3M"][pid])), int(self.handle_na(bs["FG3A"][pid])), |
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int(self.handle_na(bs["FG3_PCT"][pid])), |
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int(self.handle_na(bs["FTM"][pid])), int(self.handle_na(bs["FTA"][pid])), |
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int(self.handle_na(bs["FT_PCT"][pid])), |
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int(self.handle_na(bs["REB"][pid])), int(self.handle_na(bs["AST"][pid])), |
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int(self.handle_na(bs["STL"][pid])), |
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int(self.handle_na(bs["BLK"][pid])), int(self.handle_na(bs["DREB"][pid])), |
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int(self.handle_na(bs["OREB"][pid])), int(self.handle_na(bs["TO"][pid]))) |
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player_found = True |
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break |
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assert player_found |
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return player_line % (player_tup) |
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def get_team_line(self, line, result, type): |
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city = line["TEAM-CITY"] |
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name = line["TEAM-NAME"] |
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wins = int(line["TEAM-WINS"]) |
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losses = int(line["TEAM-LOSSES"]) |
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pts = int(line["TEAM-PTS"]) |
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ast = int(line["TEAM-AST"]) |
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three_pointers_pct = int(line["TEAM-FG3_PCT"]) |
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field_goals_pct = int(line["TEAM-FG_PCT"]) |
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free_throws_pct = int(line["TEAM-FT_PCT"]) |
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pts_qtr1 = int(line["TEAM-PTS_QTR1"]) |
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pts_qtr2 = int(line["TEAM-PTS_QTR2"]) |
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pts_qtr3 = int(line["TEAM-PTS_QTR3"]) |
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pts_qtr4 = int(line["TEAM-PTS_QTR4"]) |
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reb = int(line["TEAM-REB"]) |
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tov = int(line["TEAM-TOV"]) |
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updated_type = "<" + type.upper() + ">" |
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team_tup = (updated_type, name, city, result, pts, wins, losses, pts_qtr1, pts_qtr2, pts_qtr3, pts_qtr4, ast, |
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three_pointers_pct, field_goals_pct, free_throws_pct, reb, tov) |
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return team_line % (team_tup) |
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|
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def linearize_input(self, entry): |
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output = self.get_box_score(entry) |
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linearized_input = " ".join(output) |
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linearized_input = linearized_input.replace(" ", " ") |
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return linearized_input |
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|
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def _generate_examples( |
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self, filepath, split |
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): |
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""" Yields examples as (key, example) tuples. """ |
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with open(filepath, encoding="utf-8") as f: |
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all_data = json.load(f) |
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for id_, data in enumerate(all_data): |
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data['linearized_input'] = self.linearize_input(data) |
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yield id_, data |
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