Commit
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a8ac55e
1
Parent(s):
c042e29
update
Browse files- bigbiohub.py +1 -2
- scitail.py +8 -21
bigbiohub.py
CHANGED
@@ -6,8 +6,7 @@ from types import SimpleNamespace
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from dataclasses import dataclass
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import datasets
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from licenses import License
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from licenses import Licenses
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BigBioValues = SimpleNamespace(NULL="<BB_NULL_STR>")
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from dataclasses import dataclass
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import datasets
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from . licenses import License, Licenses
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BigBioValues = SimpleNamespace(NULL="<BB_NULL_STR>")
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scitail.py
CHANGED
@@ -28,18 +28,13 @@ import os
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import datasets
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import pandas as pd
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@dataclass
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class BigBioConfig(datasets.BuilderConfig):
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"""BuilderConfig for BigBio."""
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version: datasets.Version = None
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description: str = None
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schema: str = None
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subset_id: str = None
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_LANGUAGES = ["EN"]
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_PUBMED = False
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_LOCAL = False
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_CITATION = """\
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@@ -66,13 +61,13 @@ entails label and 16,925 examples with neutral label.
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_HOMEPAGE = "https://allenai.org/data/scitail"
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_LICENSE =
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_URLS = {
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_DATASETNAME: "https://ai2-public-datasets.s3.amazonaws.com/scitail/SciTailV1.1.zip",
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}
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_SUPPORTED_TASKS = [
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_SOURCE_VERSION = "1.1.0"
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@@ -81,14 +76,6 @@ _BIGBIO_VERSION = "1.0.0"
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LABEL_MAP = {"entails": "entailment", "neutral": "neutral"}
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entailment_features = datasets.Features(
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{
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"id": datasets.Value("string"),
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"premise": datasets.Value("string"),
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"hypothesis": datasets.Value("string"),
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"label": datasets.Value("string"),
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}
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)
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class SciTailDataset(datasets.GeneratorBasedBuilder):
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"""TODO: Short description of my dataset."""
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# normalize labels
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data["label"] = data["label"].apply(lambda x: LABEL_MAP[x])
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for _, row in data.iterrows():
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yield row["id"], row.to_dict()
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import datasets
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import pandas as pd
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from . bigbiohub import entailment_features
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from . bigbiohub import BigBioConfig
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from . bigbiohub import Lang, Tasks
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from . bigbiohub import Licenses
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_LANGUAGES = [Lang.EN]
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_PUBMED = False
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_LOCAL = False
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_CITATION = """\
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_HOMEPAGE = "https://allenai.org/data/scitail"
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_LICENSE = Licenses.APACHE_2p0
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_URLS = {
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_DATASETNAME: "https://ai2-public-datasets.s3.amazonaws.com/scitail/SciTailV1.1.zip",
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}
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_SUPPORTED_TASKS = [Tasks.TEXTUAL_ENTAILMENT]
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_SOURCE_VERSION = "1.1.0"
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LABEL_MAP = {"entails": "entailment", "neutral": "neutral"}
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class SciTailDataset(datasets.GeneratorBasedBuilder):
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"""TODO: Short description of my dataset."""
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# normalize labels
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data["label"] = data["label"].apply(lambda x: LABEL_MAP[x])
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for _, row in data.iterrows():
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yield row["id"], row.to_dict()
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