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{"default": {"description": "SportSett:Basketball dataset for Data-to-Text Generation contains NBA games stats aligned with their human written summaries.\n", "citation": "@inproceedings{thomson-etal-2020-sportsett,\n title = \"{S}port{S}ett:Basketball - A robust and maintainable data-set for Natural Language Generation\",\n author = \"Thomson, Craig and\n Reiter, Ehud and\n Sripada, Somayajulu\",\n booktitle = \"Proceedings of the Workshop on Intelligent Information Processing and Natural Language Generation\",\n month = sep,\n year = \"2020\",\n address = \"Santiago de Compostela, Spain\",\n publisher = \"Association for Computational Lingustics\",\n url = \"https://aclanthology.org/2020.intellang-1.4\",\n pages = \"32--40\",\n}\n", "homepage": "https://github.com/nlgcat/sport_sett_basketball", "license": "", "features": {"sportsett_id": {"dtype": "string", "id": null, "_type": "Value"}, "gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "game": {"day": {"dtype": "string", 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"id": null, "_type": "Value"}, "conference_standing": {"dtype": "int32", "id": null, "_type": "Value"}, "game_number": {"dtype": "string", "id": null, "_type": "Value"}, "previous_game_id": {"dtype": "string", "id": null, "_type": "Value"}, "next_game_id": {"dtype": "string", "id": null, "_type": "Value"}, "line_score": {"game": {"FG3A": {"dtype": "string", "id": null, "_type": "Value"}, "FG3M": {"dtype": "string", "id": null, "_type": "Value"}, "FG3_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FGA": {"dtype": "string", "id": null, "_type": "Value"}, "FGM": {"dtype": "string", "id": null, "_type": "Value"}, "FG_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FTA": {"dtype": "string", "id": null, "_type": "Value"}, "FTM": {"dtype": "string", "id": null, "_type": "Value"}, "FT_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "DREB": {"dtype": "string", "id": null, "_type": "Value"}, "OREB": {"dtype": "string", "id": null, "_type": "Value"}, "TREB": 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{"default": {"description": "SportSett:Basketball dataset for Data-to-Text Generation contains NBA games stats aligned with their human written summaries.\n", "citation": "@inproceedings{thomson-etal-2020-sportsett,\n title = \"{S}port{S}ett:Basketball - A robust and maintainable data-set for Natural Language Generation\",\n author = \"Thomson, Craig and\n Reiter, Ehud and\n Sripada, Somayajulu\",\n booktitle = \"Proceedings of the Workshop on Intelligent Information Processing and Natural Language Generation\",\n month = sep,\n year = \"2020\",\n address = \"Santiago de Compostela, Spain\",\n publisher = \"Association for Computational Lingustics\",\n url = \"https://aclanthology.org/2020.intellang-1.4\",\n pages = \"32--40\",\n}\n", "homepage": "https://github.com/nlgcat/sport_sett_basketball", "license": "", "features": {"sportsett_id": {"dtype": "string", "id": null, "_type": "Value"}, "gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "game": {"day": {"dtype": "string", 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null, "_type": "Value"}}}, "vis": {"name": {"dtype": "string", "id": null, "_type": "Value"}, "place": {"dtype": "string", "id": null, "_type": "Value"}, "conference": {"dtype": "string", "id": null, "_type": "Value"}, "division": {"dtype": "string", "id": null, "_type": "Value"}, "wins": {"dtype": "string", "id": null, "_type": "Value"}, "losses": {"dtype": "string", "id": null, "_type": "Value"}, "conference_standing": {"dtype": "int32", "id": null, "_type": "Value"}, "game_number": {"dtype": "string", "id": null, "_type": "Value"}, "previous_game_id": {"dtype": "string", "id": null, "_type": "Value"}, "next_game_id": {"dtype": "string", "id": null, "_type": "Value"}, "line_score": {"game": {"FG3A": {"dtype": "string", "id": null, "_type": "Value"}, "FG3M": {"dtype": "string", "id": null, "_type": "Value"}, "FG3_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FGA": {"dtype": "string", "id": null, "_type": "Value"}, "FGM": {"dtype": "string", "id": null, "_type": "Value"}, "FG_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FTA": {"dtype": "string", "id": null, "_type": "Value"}, "FTM": {"dtype": "string", "id": null, "_type": "Value"}, "FT_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "DREB": {"dtype": "string", "id": null, "_type": "Value"}, "OREB": {"dtype": "string", "id": null, "_type": "Value"}, "TREB": {"dtype": "string", "id": null, "_type": "Value"}, "BLK": {"dtype": "string", "id": null, "_type": "Value"}, "AST": {"dtype": "string", "id": null, "_type": "Value"}, "STL": {"dtype": "string", "id": null, "_type": "Value"}, "TOV": {"dtype": "string", "id": null, "_type": "Value"}, "PF": {"dtype": "string", "id": null, "_type": "Value"}, "PTS": {"dtype": "string", "id": null, "_type": "Value"}, "MIN": {"dtype": "string", "id": null, "_type": "Value"}}, "H1": {"FG3A": {"dtype": "string", "id": null, "_type": "Value"}, "FG3M": {"dtype": "string", "id": null, "_type": "Value"}, "FG3_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FGA": {"dtype": "string", "id": null, "_type": "Value"}, "FGM": {"dtype": "string", "id": null, "_type": "Value"}, "FG_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FTA": {"dtype": "string", "id": null, "_type": "Value"}, "FTM": {"dtype": "string", "id": null, "_type": "Value"}, "FT_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "DREB": {"dtype": "string", "id": null, "_type": "Value"}, "OREB": {"dtype": "string", "id": null, "_type": "Value"}, "TREB": {"dtype": "string", "id": null, "_type": "Value"}, "BLK": {"dtype": "string", "id": null, "_type": "Value"}, "AST": {"dtype": "string", "id": null, "_type": "Value"}, "STL": {"dtype": "string", "id": null, "_type": "Value"}, "TOV": {"dtype": "string", "id": null, "_type": "Value"}, "PTS": {"dtype": "string", "id": null, "_type": "Value"}, "MIN": {"dtype": "string", "id": null, "_type": "Value"}}, "H2": {"FG3A": {"dtype": "string", "id": null, "_type": "Value"}, "FG3M": {"dtype": "string", "id": null, "_type": "Value"}, "FG3_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FGA": {"dtype": "string", "id": null, "_type": "Value"}, "FGM": {"dtype": "string", "id": null, "_type": "Value"}, "FG_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FTA": {"dtype": "string", "id": null, "_type": "Value"}, "FTM": {"dtype": "string", "id": null, "_type": "Value"}, "FT_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "DREB": {"dtype": "string", "id": null, "_type": "Value"}, "OREB": {"dtype": "string", "id": null, "_type": "Value"}, "TREB": {"dtype": "string", "id": null, "_type": "Value"}, "BLK": {"dtype": "string", "id": null, "_type": "Value"}, "AST": {"dtype": "string", "id": null, "_type": "Value"}, "STL": {"dtype": "string", "id": null, "_type": "Value"}, "TOV": {"dtype": "string", "id": null, "_type": "Value"}, "PTS": {"dtype": "string", "id": null, "_type": "Value"}, "MIN": {"dtype": "string", "id": null, "_type": "Value"}}, "Q1": {"FG3A": {"dtype": "string", "id": null, "_type": "Value"}, "FG3M": {"dtype": "string", "id": null, "_type": "Value"}, "FG3_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FGA": {"dtype": "string", "id": null, "_type": "Value"}, "FGM": {"dtype": "string", "id": null, "_type": "Value"}, "FG_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FTA": {"dtype": "string", "id": null, "_type": "Value"}, "FTM": {"dtype": "string", "id": null, "_type": "Value"}, "FT_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "DREB": {"dtype": "string", "id": null, "_type": "Value"}, "OREB": {"dtype": "string", "id": null, "_type": "Value"}, "TREB": {"dtype": "string", "id": null, "_type": "Value"}, "BLK": {"dtype": "string", "id": null, "_type": "Value"}, "AST": {"dtype": "string", "id": null, "_type": "Value"}, "STL": {"dtype": "string", "id": null, "_type": "Value"}, "TOV": {"dtype": "string", "id": null, "_type": "Value"}, "PTS": {"dtype": "string", "id": null, "_type": "Value"}, "MIN": {"dtype": "string", "id": null, "_type": "Value"}}, "Q2": {"FG3A": {"dtype": "string", "id": null, "_type": "Value"}, "FG3M": {"dtype": "string", "id": null, "_type": "Value"}, "FG3_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FGA": {"dtype": "string", "id": null, "_type": "Value"}, "FGM": {"dtype": "string", "id": null, "_type": "Value"}, "FG_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FTA": {"dtype": "string", "id": null, "_type": "Value"}, "FTM": {"dtype": "string", "id": null, "_type": "Value"}, "FT_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "DREB": {"dtype": "string", "id": null, "_type": "Value"}, "OREB": {"dtype": "string", "id": null, "_type": "Value"}, "TREB": {"dtype": "string", "id": null, "_type": "Value"}, "BLK": {"dtype": "string", "id": null, "_type": "Value"}, "AST": {"dtype": "string", "id": null, "_type": "Value"}, "STL": {"dtype": "string", "id": null, "_type": "Value"}, "TOV": {"dtype": "string", "id": null, "_type": "Value"}, "PTS": {"dtype": "string", "id": null, "_type": "Value"}, "MIN": {"dtype": "string", "id": null, "_type": "Value"}}, "Q3": {"FG3A": {"dtype": "string", "id": null, "_type": "Value"}, "FG3M": {"dtype": "string", "id": null, "_type": "Value"}, "FG3_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FGA": {"dtype": "string", "id": null, "_type": "Value"}, "FGM": {"dtype": "string", "id": null, "_type": "Value"}, "FG_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FTA": {"dtype": "string", "id": null, "_type": "Value"}, "FTM": {"dtype": "string", "id": null, "_type": "Value"}, "FT_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "DREB": {"dtype": "string", "id": null, "_type": "Value"}, "OREB": {"dtype": "string", "id": null, "_type": "Value"}, "TREB": {"dtype": "string", "id": null, "_type": "Value"}, "BLK": {"dtype": "string", "id": null, "_type": "Value"}, "AST": {"dtype": "string", "id": null, "_type": "Value"}, "STL": {"dtype": "string", "id": null, "_type": "Value"}, "TOV": {"dtype": "string", "id": null, "_type": "Value"}, "PTS": {"dtype": "string", "id": null, "_type": "Value"}, "MIN": {"dtype": "string", "id": null, "_type": "Value"}}, "Q4": {"FG3A": {"dtype": "string", "id": null, "_type": "Value"}, "FG3M": {"dtype": "string", "id": null, "_type": "Value"}, "FG3_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FGA": {"dtype": "string", "id": null, "_type": "Value"}, "FGM": {"dtype": "string", "id": null, "_type": "Value"}, "FG_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FTA": {"dtype": "string", "id": null, "_type": "Value"}, "FTM": {"dtype": "string", "id": null, "_type": "Value"}, "FT_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "DREB": {"dtype": "string", "id": null, "_type": "Value"}, "OREB": {"dtype": "string", "id": null, "_type": "Value"}, "TREB": {"dtype": "string", "id": null, "_type": "Value"}, "BLK": {"dtype": "string", "id": null, "_type": "Value"}, "AST": {"dtype": "string", "id": null, "_type": "Value"}, "STL": {"dtype": "string", "id": null, "_type": "Value"}, "TOV": {"dtype": "string", "id": null, "_type": "Value"}, "PTS": {"dtype": "string", "id": null, "_type": "Value"}, "MIN": {"dtype": "string", "id": null, "_type": "Value"}}, "OT": {"FG3A": {"dtype": "string", "id": null, "_type": "Value"}, "FG3M": {"dtype": "string", "id": null, "_type": "Value"}, "FG3_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FGA": {"dtype": "string", "id": null, "_type": "Value"}, "FGM": {"dtype": "string", "id": null, "_type": "Value"}, "FG_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FTA": {"dtype": "string", "id": null, "_type": "Value"}, "FTM": {"dtype": "string", "id": null, "_type": "Value"}, "FT_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "DREB": {"dtype": "string", "id": null, "_type": "Value"}, "OREB": {"dtype": "string", "id": null, "_type": "Value"}, "TREB": {"dtype": "string", "id": null, "_type": "Value"}, "BLK": {"dtype": "string", "id": null, "_type": "Value"}, "AST": {"dtype": "string", "id": null, "_type": "Value"}, "STL": {"dtype": "string", "id": null, "_type": "Value"}, "TOV": {"dtype": "string", "id": null, "_type": "Value"}, "PTS": {"dtype": "string", "id": null, "_type": "Value"}, "MIN": {"dtype": "string", "id": null, "_type": "Value"}}}, "box_score": [{"first_name": {"dtype": "string", "id": null, "_type": "Value"}, "last_name": {"dtype": "string", "id": null, "_type": "Value"}, "name": {"dtype": "string", "id": null, "_type": "Value"}, "starter": {"dtype": "string", "id": null, "_type": "Value"}, "MIN": {"dtype": "string", "id": null, "_type": "Value"}, "FGM": {"dtype": "string", "id": null, "_type": "Value"}, "FGA": {"dtype": "string", "id": null, "_type": "Value"}, "FG_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FG3M": {"dtype": "string", "id": null, "_type": "Value"}, "FG3A": {"dtype": "string", "id": null, "_type": "Value"}, "FG3_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "FTM": {"dtype": "string", "id": null, "_type": "Value"}, "FTA": {"dtype": "string", "id": null, "_type": "Value"}, "FT_PCT": {"dtype": "string", "id": null, "_type": "Value"}, "OREB": {"dtype": "string", "id": null, "_type": "Value"}, "DREB": {"dtype": "string", "id": null, "_type": "Value"}, "TREB": {"dtype": "string", "id": null, "_type": "Value"}, "AST": {"dtype": "string", "id": null, "_type": "Value"}, "STL": {"dtype": "string", "id": null, "_type": "Value"}, "BLK": {"dtype": "string", "id": null, "_type": "Value"}, "TOV": {"dtype": "string", "id": null, "_type": "Value"}, "PF": {"dtype": "string", "id": null, "_type": "Value"}, "PTS": {"dtype": "string", "id": null, "_type": "Value"}, "+/-": {"dtype": "string", "id": null, "_type": "Value"}, "DOUBLE": {"dtype": "string", "id": null, "_type": "Value"}}], "next_game": {"day": {"dtype": "string", "id": null, "_type": "Value"}, "month": {"dtype": "string", "id": null, "_type": "Value"}, "year": {"dtype": "string", "id": null, "_type": "Value"}, "dayname": {"dtype": "string", "id": null, "_type": "Value"}, "stadium": {"dtype": "string", "id": null, "_type": "Value"}, "city": {"dtype": "string", "id": null, "_type": "Value"}, "opponent_name": {"dtype": "string", "id": null, "_type": "Value"}, "opponent_place": {"dtype": "string", "id": null, "_type": "Value"}, "is_home": {"dtype": "string", "id": null, "_type": "Value"}}}}, "summaries": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}], "linearized_input": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "sportsett_basketball", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 67332482, "num_examples": 3690, "dataset_name": "sportsett_basketball"}, "test": {"name": "test", "num_bytes": 21058937, "num_examples": 1230, "dataset_name": "sportsett_basketball"}, "validation": {"name": "validation", "num_bytes": 21503139, "num_examples": 1230, "dataset_name": "sportsett_basketball"}}, "download_checksums": {"train.jsonl": {"num_bytes": 62442413, "checksum": "7f36933482f385000d5dedcf8f432349aa486eee1229c6aa28de2c000d2890ec"}, "validation.jsonl": {"num_bytes": 20228725, "checksum": "39e6401457f90e58e7237b2392b6f3fb1155f1b068d542cd112602200d539973"}, "test.jsonl": {"num_bytes": 20033885, "checksum": "79056913fc9e0e49b428384e64c2bbc90b450fd94316d451e17c3d3cd32dbe3a"}}, "download_size": 102705023, "post_processing_size": null, "dataset_size": 109894558, "size_in_bytes": 212599581}}
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sportsett_basketball.py
CHANGED
@@ -17,7 +17,9 @@
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import csv
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import json
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import re
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import datasets
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@@ -79,7 +81,7 @@ def detokenize(text):
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return step6.strip()
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# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
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-
class
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"""SportSett:Basketball datatset for Data-to-Text Generation."""
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85 |
VERSION = datasets.Version("1.1.0")
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@@ -536,7 +538,8 @@ class SportSettBasketball(datasets.GeneratorBasedBuilder):
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},
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537 |
"summaries": datasets.Sequence(datasets.Value("string")),
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"target": datasets.Value("string"),
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539 |
-
"references": [datasets.Value("string")]
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}
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541 |
)
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542 |
return datasets.DatasetInfo(
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@@ -584,6 +587,118 @@ class SportSettBasketball(datasets.GeneratorBasedBuilder):
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584 |
),
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]
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587 |
def _generate_examples(
|
588 |
self, filepath, split # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
|
589 |
):
|
@@ -602,5 +717,6 @@ class SportSettBasketball(datasets.GeneratorBasedBuilder):
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|
602 |
"teams": data["teams"],
|
603 |
"summaries": data["summaries"],
|
604 |
"target": detokenize(data["summaries"][0]),
|
605 |
-
"references": [detokenize(s) for s in data["summaries"]]
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|
606 |
}
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|
17 |
|
18 |
import csv
|
19 |
import json
|
20 |
+
import os
|
21 |
import re
|
22 |
+
from readline import parse_and_bind
|
23 |
|
24 |
import datasets
|
25 |
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|
81 |
return step6.strip()
|
82 |
|
83 |
# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
|
84 |
+
class SportsettBasketball(datasets.GeneratorBasedBuilder):
|
85 |
"""SportSett:Basketball datatset for Data-to-Text Generation."""
|
86 |
|
87 |
VERSION = datasets.Version("1.1.0")
|
|
|
538 |
},
|
539 |
"summaries": datasets.Sequence(datasets.Value("string")),
|
540 |
"target": datasets.Value("string"),
|
541 |
+
"references": [datasets.Value("string")],
|
542 |
+
"linearized_input": datasets.Value("string")
|
543 |
}
|
544 |
)
|
545 |
return datasets.DatasetInfo(
|
|
|
587 |
),
|
588 |
]
|
589 |
|
590 |
+
def tokenize_initials(self, value):
|
591 |
+
attrib_value = re.sub(r"(\w)\.(\w)\.", r"\g<1>. \g<2>.", value)
|
592 |
+
return attrib_value
|
593 |
+
|
594 |
+
def sort_players_by_pts(self, entry, type='HOME'):
|
595 |
+
"""
|
596 |
+
Sort players by points and return the indices sorted by points
|
597 |
+
bs --> [{'pts': 10}, {'pts': 30}, {'pts': 35}, {'pts': 5}]
|
598 |
+
return --> [2, 1, 0, 3]
|
599 |
+
"""
|
600 |
+
all_pts = [int(item['PTS']) for item in entry['teams'][type.lower()]['box_score']]
|
601 |
+
all_pts1 = [[item, idx] for idx, item in enumerate(all_pts)]
|
602 |
+
all_pts1.sort()
|
603 |
+
all_pts1.reverse()
|
604 |
+
return [item[1] for item in all_pts1]
|
605 |
+
|
606 |
+
def get_one_player_data(self, player_stats, team_name, rank):
|
607 |
+
"""
|
608 |
+
player_line = "<PLAYER> %s <TEAM> %s <POS> %s <RANK> %s <MIN> %d <PTS> %d <FG> %d %d %d <FG3> %d %d %d \
|
609 |
+
<FT> %d %d %d <REB> %d <AST> %d <STL> %s <BLK> %d <DREB> %d <OREB> %d <TO> %d"
|
610 |
+
"""
|
611 |
+
pos = f'STARTER YES' if player_stats['starter'] == True else f'STARTER NO'
|
612 |
+
player_min = int(player_stats['MIN'])
|
613 |
+
rank = rank if player_min > 0 else f"{rank.split('-')[0]}-DIDNTPLAY"
|
614 |
+
player_line = f"<PLAYER> {self.tokenize_initials(player_stats['name'])} <TEAM> {team_name} <POS> {pos} <RANK> {rank}"
|
615 |
+
player_line = f"{player_line} <MIN> {player_stats['MIN']} <PTS> {player_stats['PTS']} <FG> {player_stats['FGM']} {player_stats['FGA']} {player_stats['FG_PCT']}"
|
616 |
+
player_line = f"{player_line} <FG3> {player_stats['FG3M']} {player_stats['FG3A']} {player_stats['FG3_PCT']}"
|
617 |
+
player_line = f"{player_line} <FT> {player_stats['FTM']} {player_stats['FTA']} {player_stats['FT_PCT']}"
|
618 |
+
player_line = f"{player_line} <REB> {player_stats['TREB']} <AST> {player_stats['AST']} <STL> {player_stats['STL']}"
|
619 |
+
player_line = f"{player_line} <BLK> {player_stats['BLK']} <DREB> {player_stats['DREB']} <OREB> {player_stats['OREB']} <TO> {player_stats['TOV']}"
|
620 |
+
player_line = f"{player_line} <DOUBLE> {player_stats['DOUBLE']}"
|
621 |
+
return player_line
|
622 |
+
|
623 |
+
def get_box_score(self, entry, type='HOME'):
|
624 |
+
bs = entry['teams'][type.lower()]['box_score']
|
625 |
+
team_name = f"{entry['teams'][type.lower()]['place']} {entry['teams'][type.lower()]['name']}"
|
626 |
+
sorted_idx = self.sort_players_by_pts(entry, type)
|
627 |
+
player_lines = [self.get_one_player_data(bs[idx], team_name, f'{type}-{rank}') for rank, idx in enumerate(sorted_idx)]
|
628 |
+
return ' '.join(player_lines)
|
629 |
+
|
630 |
+
def get_team_line(self, entry, type='HOME', winner='HOME'):
|
631 |
+
"""
|
632 |
+
team_line = "%s <TEAM> %s <CITY> %s <TEAM-RESULT> %s <TEAM-PTS> %d <WINS-LOSSES> %d %d <QTRS> %d %d %d %d \
|
633 |
+
<TEAM-AST> %d <3PT> %d <TEAM-FG> %d <TEAM-FT> %d <TEAM-REB> %d <TEAM-TO> %d"
|
634 |
+
"""
|
635 |
+
line_score = entry['teams'][type.lower()]['line_score']['game']
|
636 |
+
team_line = f"<TEAM> {entry['teams'][type.lower()]['name']} <CITY> {entry['teams'][type.lower()]['place']}"
|
637 |
+
if winner == type:
|
638 |
+
team_line = f"{team_line} <TEAM-RESULT> won"
|
639 |
+
else:
|
640 |
+
team_line = f"{team_line} <TEAM-RESULT> lost"
|
641 |
+
team_line = f"{team_line} <TEAM-PTS> {line_score['PTS']} <WINS-LOSSES> {entry['teams'][type.lower()]['wins']} {entry['teams'][type.lower()]['losses']}"
|
642 |
+
team_line = f"{team_line} <QTRS> {entry['teams'][type.lower()]['line_score']['Q1']['PTS']} {entry['teams'][type.lower()]['line_score']['Q2']['PTS']}"
|
643 |
+
team_line = f"{team_line} {entry['teams'][type.lower()]['line_score']['Q3']['PTS']} {entry['teams'][type.lower()]['line_score']['Q4']['PTS']}"
|
644 |
+
team_line = f"{team_line} <TEAM-AST> {line_score['AST']} <3PT> {line_score['FG3M']} <TEAM-FG> {line_score['FGM']} <TEAM-FT> {line_score['FTM']}"
|
645 |
+
team_line = f"{team_line} <TEAM-REB> {line_score['TREB']} <TEAM-TO> {line_score['TOV']}"
|
646 |
+
return team_line
|
647 |
+
|
648 |
+
def get_box_and_line_scores(self, entry):
|
649 |
+
"""Get line- & box- scores data for a single game"""
|
650 |
+
|
651 |
+
home_team_pts = entry['teams']['home']['line_score']['game']['PTS']
|
652 |
+
vis_team_pts = entry['teams']['home']['line_score']['game']['PTS']
|
653 |
+
winner = 'HOME' if int(home_team_pts) > int(vis_team_pts) else 'VIS'
|
654 |
+
|
655 |
+
home_team_line = self.get_team_line(entry, type='HOME', winner=winner)
|
656 |
+
vis_team_line = self.get_team_line(entry, type='VIS', winner=winner)
|
657 |
+
|
658 |
+
home_box_score = self.get_box_score(entry, type='HOME')
|
659 |
+
vis_box_score = self.get_box_score(entry, type='VIS')
|
660 |
+
|
661 |
+
return home_team_line, vis_team_line, home_box_score, vis_box_score
|
662 |
+
|
663 |
+
def get_game_data(self, entry):
|
664 |
+
"""Get game data for a single game"""
|
665 |
+
game_date = f"{entry['day']} {entry['month']} {entry['year']}"
|
666 |
+
game_day = entry['dayname']
|
667 |
+
game_stadium = entry['stadium']
|
668 |
+
game_city = entry['city']
|
669 |
+
return f"<DATE> {game_date} <DAY> {game_day} <STADIUM> {game_stadium} <CITY> {game_city}"
|
670 |
+
|
671 |
+
def get_next_game_data_of_a_team(self, entry):
|
672 |
+
"""
|
673 |
+
next_game_line = "<NEXT-GAME-DATE> %s <NEXT-GAME-DAY> %s <NEXT-GAME-STADIUM> %s <NEXT-GAME-CITY> %s"
|
674 |
+
"""
|
675 |
+
next_game_date = f"{entry['day']} {entry['month']} {entry['year']}"
|
676 |
+
next_game_is_home = 'yes' if entry['is_home'] == 'True' else 'no'
|
677 |
+
next_game_line = f"<NEXT-DATE> {next_game_date} <NEXT-DAY> {entry['dayname']}"
|
678 |
+
next_game_line = f"{next_game_line} <NEXT-STADIUM> {entry['stadium']} <NEXT-CITY> {entry['city']}"
|
679 |
+
next_game_line = f"{next_game_line} <NEXT-OPPONENT-PLACE> {entry['opponent_place']} <NEXT-OPPONENT-NAME> {entry['opponent_name']}"
|
680 |
+
next_game_line = f"{next_game_line} <NEXT-IS-HOME> {next_game_is_home}"
|
681 |
+
return next_game_line
|
682 |
+
|
683 |
+
def get_next_game_info(self, entry):
|
684 |
+
"""
|
685 |
+
Get next game data for both teams in a game.
|
686 |
+
In case of no next game, all values will be ''.
|
687 |
+
"""
|
688 |
+
home_next_game = self.get_next_game_data_of_a_team(entry['teams']['home']['next_game'])
|
689 |
+
vis_next_game = self.get_next_game_data_of_a_team(entry['teams']['vis']['next_game'])
|
690 |
+
return home_next_game, vis_next_game
|
691 |
+
|
692 |
+
def linearize_input(self, entry):
|
693 |
+
"""
|
694 |
+
Linearizes the input to the model.
|
695 |
+
"""
|
696 |
+
game_data = self.get_game_data(entry['game'])
|
697 |
+
home_line, vis_line, home_box_score, vis_box_score = self.get_box_and_line_scores(entry)
|
698 |
+
home_next, vis_next = self.get_next_game_info(entry)
|
699 |
+
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}"
|
700 |
+
return linearized_input
|
701 |
+
|
702 |
def _generate_examples(
|
703 |
self, filepath, split # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
|
704 |
):
|
|
|
717 |
"teams": data["teams"],
|
718 |
"summaries": data["summaries"],
|
719 |
"target": detokenize(data["summaries"][0]),
|
720 |
+
"references": [detokenize(s) for s in data["summaries"]],
|
721 |
+
"linearized_input": self.linearize_input(data)
|
722 |
}
|