yuvalkirstain
commited on
Commit
·
1d42c5e
1
Parent(s):
c6ded99
word level datasets
Browse files- configs/super_glue.py +24 -12
- fs.py +19 -9
configs/super_glue.py
CHANGED
@@ -3,22 +3,11 @@ from typing import Optional, Union
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from configs.fs import FSConfig
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class
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def __init__(self, **kwargs):
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super().__init__(**kwargs)
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@property
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def id_key(self) -> str:
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return "idx"
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@property
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def source_key(self) -> str:
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return "passage"
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@property
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def question_key(self) -> Union[str, None]:
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return "question"
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@property
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def target_key(self) -> str:
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return "label"
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@@ -34,3 +23,26 @@ class BoolQConfig(FSConfig):
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@property
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def test_file(self) -> str:
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return "test.jsonl"
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from configs.fs import FSConfig
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class SuperGLUEConfig(FSConfig):
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@property
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def id_key(self) -> str:
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return "idx"
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@property
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def target_key(self) -> str:
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return "label"
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@property
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def test_file(self) -> str:
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return "test.jsonl"
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class BoolQConfig(SuperGLUEConfig):
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@property
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def source_key(self) -> str:
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return "passage"
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@property
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def question_key(self) -> Union[str, None]:
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return "question"
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class RTEConfig(SuperGLUEConfig):
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# TODO HACK - we treat premise == source, hypothesis == question
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@property
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def source_key(self) -> str:
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return "premise"
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@property
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def question_key(self) -> Union[str, None]:
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return "hypothesis"
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fs.py
CHANGED
@@ -10,13 +10,31 @@ from citations_and_descriptions import (
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)
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from configs.arxiv import ArxivConfig
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from configs.scrolls import ScrollsConfig
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from configs.super_glue import BoolQConfig
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class FS(datasets.GeneratorBasedBuilder):
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"""The SCROLLS benchmark."""
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DEFAULT_WRITER_BATCH_SIZE = 1000 # because Narrative QA is a rather large dataset
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BUILDER_CONFIGS = [
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ScrollsConfig(
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additional_features=["id"],
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name="summ_screen_fd_debug",
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@@ -41,14 +59,6 @@ class FS(datasets.GeneratorBasedBuilder):
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citation=_ARXIV_DESCRIPTION,
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url="https://github.com/armancohan/long-summarization"
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),
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BoolQConfig(
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additional_features=[],
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name="boolq",
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description="", # TODO
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data_url="https://dl.fbaipublicfiles.com/glue/superglue/data/v2/BoolQ.zip",
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citation=_ARXIV_DESCRIPTION,
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url="" # TODO
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)
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]
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def _info(self):
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)
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from configs.arxiv import ArxivConfig
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from configs.scrolls import ScrollsConfig
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from configs.super_glue import BoolQConfig, RTEConfig
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class FS(datasets.GeneratorBasedBuilder):
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"""The SCROLLS benchmark."""
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DEFAULT_WRITER_BATCH_SIZE = 1000 # because Narrative QA is a rather large dataset
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BUILDER_CONFIGS = [
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# word level
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BoolQConfig(
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additional_features=[],
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name="boolq",
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description="", # TODO
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data_url="https://dl.fbaipublicfiles.com/glue/superglue/data/v2/BoolQ.zip",
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citation="", # TODO
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url="" # TODO
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),
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RTEConfig(
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additional_features=[],
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name="rte",
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description="", # TODO
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data_url="https://dl.fbaipublicfiles.com/glue/superglue/data/v2/RTE.zip",
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citation="", # TODO
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url=""
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),
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# paragraph level
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ScrollsConfig(
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additional_features=["id"],
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name="summ_screen_fd_debug",
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citation=_ARXIV_DESCRIPTION,
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url="https://github.com/armancohan/long-summarization"
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),
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]
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def _info(self):
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