Added a column with the token interval of the matches for each spec sentence
Browse files- odinsynth_dataset.py +17 -29
odinsynth_dataset.py
CHANGED
@@ -16,28 +16,7 @@ class OdinsynthDatasetBuilder(datasets.GeneratorBasedBuilder):
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VERSION = datasets.Version("1.0.0")
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# This is an example of a dataset with multiple configurations.
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# If you don't want/need to define several sub-sets in your dataset,
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# just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
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# If you need to make complex sub-parts in the datasets with configurable options
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# You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
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# BUILDER_CONFIG_CLASS = MyBuilderConfig
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# You will be able to load one or the other configurations in the following list with
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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="first_domain", version=VERSION, description="This part of my dataset covers a first domain"),
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# datasets.BuilderConfig(name="second_domain", version=VERSION, description="This part of my dataset covers a second domain"),
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# ]
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#
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# DEFAULT_CONFIG_NAME = "first_domain" # 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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# TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
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features = datasets.Features(
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{
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@@ -46,6 +25,7 @@ class OdinsynthDatasetBuilder(datasets.GeneratorBasedBuilder):
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"child": datasets.Value("string"),
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"negative_child": datasets.Value("string"),
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"spec": datasets.Sequence(datasets.Value("string")),
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"step": datasets.Value("int8"),
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"length": datasets.Value("int8")
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}
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@@ -69,21 +49,25 @@ class OdinsynthDatasetBuilder(datasets.GeneratorBasedBuilder):
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def _build_specs(self, path:str):
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id_to_rule = {}
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specs = defaultdict(
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with open(path) as f:
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for l in tqdm(f, desc="Pre-computing specs"):
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try:
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instance = json.loads(l)
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except:
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# TODO log
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pass
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return {rule_id:specs[rule] for rule_id, rule in id_to_rule.items()}
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@@ -138,12 +122,16 @@ class OdinsynthDatasetBuilder(datasets.GeneratorBasedBuilder):
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for row in reader:
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rule_id = int(row[0])
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if rule_id in specs:
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yield key, {
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"rule_id": rule_id,
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"parent": row[1],
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"child": row[2],
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"negative_child": row[3],
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"spec":
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"step": int(row[4]),
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"length": int(row[5]),
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}
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VERSION = datasets.Version("1.0.0")
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def _info(self):
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features = datasets.Features(
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{
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"child": datasets.Value("string"),
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"negative_child": datasets.Value("string"),
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"spec": datasets.Sequence(datasets.Value("string")),
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"matches": datasets.Sequence(datasets.Sequence(datasets.Value("int16"))),
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"step": datasets.Value("int8"),
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"length": datasets.Value("int8")
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}
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def _build_specs(self, path:str):
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id_to_rule = {}
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specs = defaultdict(list)
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matches = defaultdict(list)
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with open(path) as f:
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for l in tqdm(f, desc="Pre-computing specs"):
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try:
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instance = json.loads(l)
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if instance['match']:
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rule_id = int(instance['id'])
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rule = instance['question']
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sent = instance['context']
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if sent not in specs[rule]:
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specs[rule].append(sent)
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matches[rule].append([instance['match_start'], instance['match_end']])
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id_to_rule[rule_id] = rule
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except:
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# TODO log
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pass
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return {rule_id:(specs[rule], matches[rule]) for rule_id, rule in id_to_rule.items()}
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for row in reader:
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rule_id = int(row[0])
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if rule_id in specs:
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spec, matches = specs[rule_id]
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assert len(spec) == len(matches), f"Rule id {id} has different number of sentences and matches"
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yield key, {
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"rule_id": rule_id,
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"parent": row[1],
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"child": row[2],
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"negative_child": row[3],
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"spec": spec,
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"matches": matches,
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"step": int(row[4]),
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"length": int(row[5]),
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}
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