Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
extended|imdb
Tags:
License:
Francisco Castillo
commited on
Commit
•
d4ce05f
1
Parent(s):
0bf8681
wip
Browse files- reviews_with_drift.py +1 -4
reviews_with_drift.py
CHANGED
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@@ -129,7 +129,6 @@ class NewDataset(datasets.GeneratorBasedBuilder):
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": extracted_paths['training'],
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-
"split": "training",
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},
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),
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datasets.SplitGenerator(
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@@ -137,7 +136,6 @@ class NewDataset(datasets.GeneratorBasedBuilder):
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": extracted_paths['validation'],
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"split": "validation"
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},
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),
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datasets.SplitGenerator(
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@@ -145,7 +143,6 @@ class NewDataset(datasets.GeneratorBasedBuilder):
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": extracted_paths['production'],
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"split": "production",
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},
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),
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]
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@@ -186,7 +183,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
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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
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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 csv_file:
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": extracted_paths['training'],
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},
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),
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datasets.SplitGenerator(
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": extracted_paths['validation'],
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},
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),
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datasets.SplitGenerator(
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": extracted_paths['production'],
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},
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),
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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):
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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 csv_file:
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