Datasets:
EricR401S
commited on
Commit
•
20a7f56
1
Parent(s):
cbe92e1
third function draft
Browse files- reddit_dataset_loader.py +33 -0
reddit_dataset_loader.py
CHANGED
@@ -183,10 +183,43 @@ class SubRedditPosts(datasets.GeneratorBasedBuilder):
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# # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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# def _generate_examples(self, filepath, split):
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# # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
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# # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
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# with open(filepath, encoding="utf-8") as f:
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# for key, row in enumerate(f):
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# data = json.loads(row)
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),
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]
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# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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def _generate_examples(self, filepath, split):
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# TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
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# The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
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with open(filepath, encoding="utf-8") as f:
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for key, row in enumerate(f):
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data = json.loads(row)
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if self.config.name == "first_domain":
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# Yields examples as (key, example) tuples
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yield key, {
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"subreddit": data["subreddit"],
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"id": data["id"],
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"title": data["title"],
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"text": data["text"],
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"url": data["url"],
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"score": data["score"],
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"author": data["author"],
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"date": data["date"],
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}
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else:
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yield key, {
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"subreddit": data["subreddit"],
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"id": data["id"],
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"title": data["title"],
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"text": data["text"],
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"url": data["url"],
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"score": data["score"],
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"author": data["author"],
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"date": data["date"],
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}
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# # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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# def _generate_examples(self, filepath, split):
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# # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
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# # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
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# with open(filepath, encoding="utf-8") as f:
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# for key, row in enumerate(f):
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# data = json.loads(row)
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