Datasets:
Upload fair-rationales.py
Browse files- fair-rationales.py +5 -7
fair-rationales.py
CHANGED
@@ -112,8 +112,6 @@ class FairRationales(datasets.GeneratorBasedBuilder):
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label_classes=SST2_LABELS,
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label_classes_original=["negative", "positive"],
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attributes=[
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("recruitment_ethnicity", ["Black/African American", "White/Causasian", "Latino/Hispanic"]),
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("recruitment_age", [">=38", "<=35"]),
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("group_id", ["BO", "BY", "WO", "WY", "LO", "LY"]),
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("sst2_id", datasets.Value("int32")),
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("sst2_split", datasets.Value("string")),
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@@ -155,8 +153,6 @@ class FairRationales(datasets.GeneratorBasedBuilder):
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label_classes=DYNASENT_LABELS,
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label_classes_original=["negative", "positive"],
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attributes=[
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("recruitment_ethnicity", ["Black/African American", "White/Causasian", "Latino/Hispanic"]),
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("recruitment_age", [">=38", "<=35"]),
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("group_id", ["BO", "BY", "WO", "WY", "LO", "LY"]),
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],
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data_url=os.path.join(MAIN_PATH, "dynasent.zip"),
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@@ -186,8 +182,6 @@ class FairRationales(datasets.GeneratorBasedBuilder):
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),
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label_classes_original=["A", "B", "C", "D", "E"],
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attributes=[
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("recruitment_ethnicity", ["Black/African American", "White/Causasian", "Latino/Hispanic"]),
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("recruitment_age", [">=38", "<=35"]),
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("group_id", ["BO", "BY", "WO", "WY", "LO", "LY"]),
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],
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data_url=os.path.join(MAIN_PATH, "cose.zip"),
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@@ -224,7 +218,9 @@ class FairRationales(datasets.GeneratorBasedBuilder):
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"annotator_ID": datasets.Value("int64"),
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"english_proficiency": datasets.Value("string"),
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"attentioncheck": datasets.Value("string"),
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"gender": datasets.Value("string")
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}
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if self.config.name == "cose":
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features["label"] = datasets.Value("string")
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@@ -271,7 +267,9 @@ class FairRationales(datasets.GeneratorBasedBuilder):
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"rationale_index": data["rationale_index"],
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"rationale_binary": data["rationale_binary"],
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"age": data["age"],
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"ethnicity": data["ethnicity"],
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"gender": data["gender"],
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"originaldata_id": data["originaldata_id"],
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"annotator_ID": data["annotator_ID"],
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label_classes=SST2_LABELS,
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label_classes_original=["negative", "positive"],
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attributes=[
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("group_id", ["BO", "BY", "WO", "WY", "LO", "LY"]),
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("sst2_id", datasets.Value("int32")),
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("sst2_split", datasets.Value("string")),
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label_classes=DYNASENT_LABELS,
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label_classes_original=["negative", "positive"],
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attributes=[
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("group_id", ["BO", "BY", "WO", "WY", "LO", "LY"]),
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],
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data_url=os.path.join(MAIN_PATH, "dynasent.zip"),
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),
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label_classes_original=["A", "B", "C", "D", "E"],
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attributes=[
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("group_id", ["BO", "BY", "WO", "WY", "LO", "LY"]),
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],
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data_url=os.path.join(MAIN_PATH, "cose.zip"),
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"annotator_ID": datasets.Value("int64"),
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"english_proficiency": datasets.Value("string"),
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"attentioncheck": datasets.Value("string"),
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"gender": datasets.Value("string"),
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"recruitment_age": datasets.Value("string"),
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"recruitment_ethnicity": datasets.Value("string")
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}
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if self.config.name == "cose":
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features["label"] = datasets.Value("string")
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"rationale_index": data["rationale_index"],
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"rationale_binary": data["rationale_binary"],
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"age": data["age"],
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"recruitment_age": data["recruitment_age"],
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"ethnicity": data["ethnicity"],
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"recruitment_ethnicity": data["recruitment_ethnicity"],
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"gender": data["gender"],
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"originaldata_id": data["originaldata_id"],
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"annotator_ID": data["annotator_ID"],
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