include event generation mode with input/target/references fields
Browse files- turku_hockey_data2text.py +103 -33
turku_hockey_data2text.py
CHANGED
@@ -53,6 +53,12 @@ _URLs = {
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class TurkuHockeyData2Text(datasets.GeneratorBasedBuilder):
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"""The Turky Hockey Data2Text is a manually curated corpus for Finnish news generation in the area of ice hockey reporting."""
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@@ -71,41 +77,56 @@ class TurkuHockeyData2Text(datasets.GeneratorBasedBuilder):
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# data = datasets.load_dataset('my_dataset', 'first_domain')
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# data = datasets.load_dataset('my_dataset', 'second_domain')
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(name="
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]
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DEFAULT_CONFIG_NAME = "
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def _info(self):
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# This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
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"events": datasets.features.Sequence(
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{
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"event_id": datasets.Value("string"),
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# define other configs
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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@@ -142,10 +163,22 @@ class TurkuHockeyData2Text(datasets.GeneratorBasedBuilder):
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with open(filepath, "rt", encoding="utf-8") as f:
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data = json.load(f)
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def _generate_features(self, example):
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@@ -191,3 +224,40 @@ class TurkuHockeyData2Text(datasets.GeneratorBasedBuilder):
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if events[i]["event_id"] in multi_events:
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return True
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return False
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}
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# relevant keys in input representation for different event types (text and event_id skipped as not being relevant for the input)
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relevant_keys = {"game result": ["event_type", "home_team", "guest_team", "score", "periods", "features"],\
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"goal": ["event_type", "score", "features", "player", "assist", "team", "team_name", "time"],\
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"penalty": ["event_type", "player", "team", "team_name", "time", "penalty_minutes"],\
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"saves": ["event_type", "player", "team", "team_name", "saves"]}
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class TurkuHockeyData2Text(datasets.GeneratorBasedBuilder):
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"""The Turky Hockey Data2Text is a manually curated corpus for Finnish news generation in the area of ice hockey reporting."""
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# data = datasets.load_dataset('my_dataset', 'first_domain')
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# data = datasets.load_dataset('my_dataset', 'second_domain')
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(name="event-generation", version=VERSION, description="This loads the dataset in its event generation mode, where an output description is generated for each game event separately. The full game information is not availbale."),
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datasets.BuilderConfig(name="game-generation", version=VERSION, description="This loads the dataset in its game generation mode, where the full game information is provided, but the actual input–output pairs must be created by the user."),
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]
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DEFAULT_CONFIG_NAME = "event-generation" # It's not mandatory to have a default configuration. Just use one if it make sense.
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def _info(self):
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# This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
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if self.config.name == "event-generation": # This is the name of the configuration selected in BUILDER_CONFIGS above
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features = datasets.Features(
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{
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"gem_id": datasets.Value("string"),
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"game_id": datasets.Value("string"),
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"event_id": datasets.Value("string"),
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"input": datasets.Value("string"),
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"target": datasets.Value("string"),
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"references": [datasets.Value("string")]
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}
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)
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else: # game-generation
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features = datasets.Features(
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{
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"gem_id": datasets.Value("string"),
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"id": datasets.Value("string"),
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"news_article": datasets.Value("string"),
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"events": datasets.features.Sequence(
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{
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"event_id": datasets.Value("string"),
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"event_type": datasets.Value("string"),
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"text": datasets.Value("string"),
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"home_team": datasets.Value("string"),
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"guest_team": datasets.Value("string"),
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"score": datasets.Value("string"),
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"periods": datasets.features.Sequence(datasets.Value("string")),
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"features": datasets.features.Sequence(datasets.Value("string")),
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"player": datasets.Value("string"),
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"assist": datasets.features.Sequence(datasets.Value("string")),
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"team": datasets.Value("string"),
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"team_name": datasets.Value("string"),
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"time": datasets.Value("string"),
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"penalty_minutes": datasets.Value("string"),
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"saves": datasets.Value("string"),
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"multi_reference": datasets.Value("bool")
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}
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),
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}
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)
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# define other configs
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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with open(filepath, "rt", encoding="utf-8") as f:
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data = json.load(f)
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idx = 0
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for i, example in enumerate(data): # one game
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if self.config.name == "game-generation":
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example["gem_id"] = f"gem-turku_hockey_data2text-{split}-{idx}" # fill in gem_id
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idx += 1
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example = self._generate_features(example)
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yield idx, example
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else:
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game_data = self._generate_features(example)
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events = self.create_event_data(game_data["events"])
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for e in events:
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e["gem_id"] = f"gem-turku_hockey_data2text-{split}-{idx}" # fill in gem_id
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idx += 1
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e["game_id"] = game_data["id"]
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yield idx, e
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def _generate_features(self, example):
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if events[i]["event_id"] in multi_events:
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return True
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return False
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def create_event_data(self, events):
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simplified_events = []
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for i, event in enumerate(events):
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e_idx, event_input, event_output = self.event2string(i, events)
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if not event_input: # skip empty annotations and multi-reference events
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continue
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simplified_events.append({"gem_id": "", "game_id": "", "event_id": e_idx, "input": event_input, "target": event_output, "references": [event_output]})
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return simplified_events
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def event2string(self, i, events):
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"""Featurize i:th event into string input.
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Example:
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input: "event_type: saves [SEP] player: Jani Hurme [SEP] team: home [SEP] team_name: TPS [SEP] saves: 25"
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output: "TPS:n maalissa Jani Hurme ehti 25 kiekon tielle."
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"""
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if events[i]["text"] == "": # skip, event is not annotated
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return None, None, None
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if events[i]["multi_reference"] == True: # skip multireference events in simple representation
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return None, None, None
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event_type = events[i]["event_type"] # use only relevant features for this event type
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e_data = []
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for key in relevant_keys[event_type]:
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if isinstance(events[i][key], str) or isinstance(events[i][key], float):
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s = f"{key} = {events[i][key]}"
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e_data.append(s)
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if isinstance(events[i][key], list) and len(events[i][key]) > 0:
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s = f'{key} = {" , ".join(events[i][key])}'
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e_data.append(s)
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event_input = " [SEP] ".join(e_data)
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e_idx = events[i]["event_id"]
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return e_idx, event_input, events[i]["text"]
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