Commit
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a4fe76a
1
Parent(s):
2e4e0ca
test
Browse files
P3.py
CHANGED
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@@ -38,7 +38,7 @@ _LICENSE = "Apache License 2.0"
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_HOMEPAGE = "https://github.com/bigscience-workshop/promptsource"
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_DATA_PATH = "
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def load_cached_task(cache_dir, split):
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@@ -85,6 +85,8 @@ def find_task_splits_and_features():
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for stats in glob.glob(f"{_DATA_PATH}/*/stats.*.json"):
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folder_path = os.path.dirname(stats)
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task_name = folder_path.split("/")[-1]
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split_name = os.path.basename(stats).split(".")[1]
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if not os.path.exists(f"{folder_path}/COMPLETED"):
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@@ -114,8 +116,8 @@ def find_task_splits_and_features():
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return task_and_their_splits
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-
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class P3Config(datasets.BuilderConfig):
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@@ -148,7 +150,7 @@ class P3(datasets.GeneratorBasedBuilder):
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features=splits_and_features["features"],
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score_eval=task_name.endswith("score_eval")
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)
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for task_name, splits_and_features in
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]
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def _info(self):
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@@ -180,12 +182,13 @@ class P3(datasets.GeneratorBasedBuilder):
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def _split_generators(self, dl_manager):
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split_generators = []
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if "train" in self.config.splits:
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split_generators.append(
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"data_folder":
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"split": "train",
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}
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)
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@@ -195,7 +198,7 @@ class P3(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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gen_kwargs={
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"data_folder":
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"split": "validation",
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}
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)
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@@ -205,7 +208,7 @@ class P3(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"data_folder":
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"split": "test",
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}
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)
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@@ -217,7 +220,7 @@ class P3(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name=datasets.Split(special_split_name),
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gen_kwargs={
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"data_folder":
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"split": special_split_name,
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}
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)
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_HOMEPAGE = "https://github.com/bigscience-workshop/promptsource"
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_DATA_PATH = "data/"
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def load_cached_task(cache_dir, split):
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for stats in glob.glob(f"{_DATA_PATH}/*/stats.*.json"):
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folder_path = os.path.dirname(stats)
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task_name = folder_path.split("/")[-1]
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if "rte" not in task_name:
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continue
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split_name = os.path.basename(stats).split(".")[1]
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if not os.path.exists(f"{folder_path}/COMPLETED"):
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return task_and_their_splits
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_TASK_SPLITS_AND_FEATURES = find_task_splits_and_features()
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_URLs = {task_name: f"{_DATA_PATH}/{task_name}" for task_name in _TASK_SPLITS_AND_FEATURES.keys()}
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class P3Config(datasets.BuilderConfig):
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features=splits_and_features["features"],
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score_eval=task_name.endswith("score_eval")
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)
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for task_name, splits_and_features in _TASK_SPLITS_AND_FEATURES.items()
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]
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def _info(self):
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def _split_generators(self, dl_manager):
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split_generators = []
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data_dir = dl_manager.download_and_extract(_URLs)
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if "train" in self.config.splits:
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split_generators.append(
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"data_folder": data_dir,
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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.VALIDATION,
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gen_kwargs={
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"data_folder": data_dir,
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"split": "validation",
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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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"data_folder": data_dir,
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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(special_split_name),
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gen_kwargs={
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"data_folder": data_dir,
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"split": special_split_name,
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}
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)
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