frame-semantic-transformer

View on PyPIReverse Dependencies (0)

0.10.0 frame_semantic_transformer-0.10.0-py3-none-any.whl

Wheel Details

Project: frame-semantic-transformer
Version: 0.10.0
Filename: frame_semantic_transformer-0.10.0-py3-none-any.whl
Download: [link]
Size: 57609
MD5: d7e8f6344ae2dd2acb9d55b301c2137c
SHA256: a070a35fcad5cc12a54c81f66c892f3e8dac4b0d9f2d198cd593301cc464b903
Uploaded: 2023-09-13 14:00:39 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: frame-semantic-transformer
Version: 0.10.0
Summary: Frame Semantic Parser based on T5 and FrameNet
Author: David Chanin
Author-Email: chanindav[at]gmail.com
Home-Page: https://github.com/chanind/frame-semantic-transformer
Project-Url: Repository, https://github.com/chanind/frame-semantic-transformer
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.8,<4.0
Requires-Dist: nlpaug (<2.0.0,>=1.1.11)
Requires-Dist: nltk (<4.0,>=3.7)
Requires-Dist: protobuf (<4.0.0,>=3.20.1)
Requires-Dist: pytorch-lightning (<2.0.0,>=1.6.2)
Requires-Dist: sentencepiece (<0.2.0,>=0.1.97)
Requires-Dist: tqdm (<5.0.0,>=4.64.0)
Requires-Dist: transformers (<5.0.0,>=4.18.0)
Description-Content-Type: text/markdown
[Description omitted; length: 7328 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.7.0
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
frame_semantic_transformer/FrameSemanticTransformer.py sha256=-1XdVIR5F2Sfybr_InNH-bG0sTZsiiF1UJN5awtFOJs 10803
frame_semantic_transformer/__init__.py sha256=yQU92Jodgnw7_deL5-GiMe3gHhVlmeWp2NWWFFk50pM 607
frame_semantic_transformer/constants.py sha256=4Ix6UPj4P2muQ83Ad6QJXsf-KCirfQWBDa2dpDhhXyk 223
frame_semantic_transformer/data/LoaderDataCache.py sha256=tDXfW7JtYTakWyUj86pHHaXaz5uvOD__Onv71U-Jj-c 4969
frame_semantic_transformer/data/TaskSampleDataset.py sha256=fLJDl7Xhpz4abFfRHQMFWVSLlKsQR90QMlIEvYZ8nCE 3652
frame_semantic_transformer/data/augmentations/DataAugmentation.py sha256=849nZ8ysYqnJZ2UpKmjqfqJDynZ17yCDpVBeEYRy-XI 1203
frame_semantic_transformer/data/augmentations/DoubleQuotesAugmentation.py sha256=fpeoCIKz-0-I0uiTPUQHR93C-IDD8taro-u8jE8MqCo 2148
frame_semantic_transformer/data/augmentations/KeyboardAugmentation.py sha256=4CzPXEAviRaGRWQnQt8MsYYAOuDW-NIZKeaJhEBaIk0 1946
frame_semantic_transformer/data/augmentations/LowercaseAugmentation.py sha256=pChuZ_-biA7WTZDndzAHRAQmv_uElayadmKAx8Lod5U 465
frame_semantic_transformer/data/augmentations/RemoveEndPunctuationAugmentation.py sha256=jFATeLY4xi3XM_i1zM9qd0B2Pdix1n3RmR2LGJMlM-o 1061
frame_semantic_transformer/data/augmentations/SimpleMisspellingAugmentation.py sha256=tMB3u5kDJRFMB9_ANaB9-f2SJkpyC_S49PxZGueBFOA 1842
frame_semantic_transformer/data/augmentations/StripPunctuationAugmentation.py sha256=0PQxpWReGQybdoh0ZDW5iFEROds31DzzJwoXyZtRzo0 2144
frame_semantic_transformer/data/augmentations/SynonymAugmentation.py sha256=xglnK6itQQvqdSuXKvRb_K_ApXQdwF14ilONG_0q4qo 1433
frame_semantic_transformer/data/augmentations/UppercaseAugmentation.py sha256=V5KpnnEZw3bhomV3-SYKy6GpsvI5zsD49R8zn-Ejzm0 809
frame_semantic_transformer/data/augmentations/__init__.py sha256=QP9JXQNTnYUwHVvrUuZR-bCuZLUPswi8JJMx1RqMkY0 932
frame_semantic_transformer/data/augmentations/chain_augmentations.py sha256=TLyx_R8q92v9R960sfQ_WfjKGbZp4Kssyktzp5BHGKE 552
frame_semantic_transformer/data/augmentations/modification_helpers/__init__.py sha256=_wYuqxyoshsxxK6xTs9HKCpUfa6IoPP1KOyNiRRGCds 267
frame_semantic_transformer/data/augmentations/modification_helpers/get_sample_text.py sha256=aJsr-UJALJxk786uryGj7bmE2sCG-HfJwSrL3C6Vme4 572
frame_semantic_transformer/data/augmentations/modification_helpers/modify_text_without_changing_length.py sha256=CteW1AmPB3eukQxGcrv2Zte59z5D7Cm7wmpX85x8VcU 1789
frame_semantic_transformer/data/augmentations/modification_helpers/splice_text.py sha256=12WVTLAdDjCElSpslajgqWGJgWak3-u6O_xYFdPeD80 4141
frame_semantic_transformer/data/data_utils.py sha256=xNIEqc_XKty0fQxuRwnwTws1jNrDxFhj1xTijQW0WbU 4518
frame_semantic_transformer/data/frame_types.py sha256=9BTLlZhKslRT32kZsDezwgW-YMaEburdFtBjzwUPs-I 1335
frame_semantic_transformer/data/loaders/framenet17/Framenet17InferenceLoader.py sha256=nvFhNpgAGAwtHJiHcbP6OZM5OuD5FQ5vYB0MwUrjTQM 2699
frame_semantic_transformer/data/loaders/framenet17/Framenet17TrainingLoader.py sha256=OhG68-5bqdjHQJQ0XTM_lUrbDAVpLyRQMCRoMSu57mE 5659
frame_semantic_transformer/data/loaders/framenet17/__init__.py sha256=WDZlhIAys7RIX7eWRrUt1y2gKReDshttt8EDlgrdLoU 209
frame_semantic_transformer/data/loaders/framenet17/ensure_framenet_downloaded.py sha256=nFSPjxJsF50hWbY5p6GLALBdLKW8gDxyYhVM_mM77GY 174
frame_semantic_transformer/data/loaders/framenet17/ensure_wordnet_downloaded.py sha256=7pXmrqariOHEm31nzMBoeo82KhiaOtynz60O8E1toB8 279
frame_semantic_transformer/data/loaders/framenet17/sesame_data_splits.py sha256=5WSwyPSU2JGkkerBUHKmfbVW_6mwyz0zARu3m08C7fU 1235
frame_semantic_transformer/data/loaders/loader.py sha256=v5JxJJejs7G5Kk3SnrDhS3ySgAWfgTwJtp1htiusTJI 2582
frame_semantic_transformer/data/loaders/propbank34/Propbank34InferenceLoader.py sha256=KfMTil1Q6nAj0CQ8mBmdcvyn8owYCssIdPTkds3SaYg 1661
frame_semantic_transformer/data/loaders/propbank34/Propbank34TrainingLoader.py sha256=_9o_ocmFW0XVYUi3kitql3OTocvc32nPI3wkxmfu8r0 6404
frame_semantic_transformer/data/loaders/propbank34/__init__.py sha256=VvHkh76VV3mhOpgeVDa0hq9sW-DL0vu9dXqJFtwOOxY 209
frame_semantic_transformer/data/loaders/propbank34/ensure_propbank_downloaded.py sha256=8vjahA06zb7F1XSfzxWozZR4974v2spd6leF9UHO878 603
frame_semantic_transformer/data/loaders/propbank34/load_propbank_frames.py sha256=NJ0gfca_XPbgbUZRqvg9C2tTe0l4rhro8PPLVk2_jio 1296
frame_semantic_transformer/data/tasks/ArgumentsExtractionSample.py sha256=OY3GMb_7qEpVFgU7tsL5DUG_uoUtJJ-okhbzzFG-604 2479
frame_semantic_transformer/data/tasks/ArgumentsExtractionTask.py sha256=TNs384zn1dFEjWPdyXcIwoWaun_cfQYBpsKGXGfOd3w 2356
frame_semantic_transformer/data/tasks/FrameClassificationSample.py sha256=rY2IwSZMjKaTT5asqi48GWAYx4nWg0AK_51dom1xp1s 1107
frame_semantic_transformer/data/tasks/FrameClassificationTask.py sha256=dkU5_bbsiBwLLeCaWNJBEKWAP3xnuhT9jbK2UQtqXB8 2202
frame_semantic_transformer/data/tasks/Task.py sha256=QvEEW4uUcIt_bazcy59PG5THLf8o1skTgIss1jdvRRI 610
frame_semantic_transformer/data/tasks/TaskSample.py sha256=7iWoz74FseLQbkHMxbSnyepCrcksI3WuK4PoVFmDcF0 952
frame_semantic_transformer/data/tasks/TriggerIdentificationSample.py sha256=JNNSWNP7RFHmgqAj2rR13n40apMpQPwe_Sw6QQ7oIgQ 2766
frame_semantic_transformer/data/tasks/TriggerIdentificationTask.py sha256=fvW6O4zM30zIiPFs6MeaEsf1Mpww-lPv6HbqDZlR8uQ 634
frame_semantic_transformer/data/tasks/__init__.py sha256=LcsNeyS_D4SKd-5jkKJbLOLYoWPMiQwx8ApkEtC4bLM 685
frame_semantic_transformer/data/tasks_from_annotated_sentences.py sha256=lyGQX1-3wbnJ3ZWBSOb-cQ8iGLodV-WtUx3aBCO_rzU 2118
frame_semantic_transformer/predict.py sha256=0bLxwfjyIYrnTxxl3L8pEBTjpyr2f6Z9b4IZ7lsr7us 3617
frame_semantic_transformer/scripts/evaluate.py sha256=reqPGnWv2FTaM5XpsF85v1Yha9J5b24KcEDmPps1PUo 1038
frame_semantic_transformer/scripts/train.py sha256=Ca7HRpuFRyPW4oKhQaxqNHBKfG2N9In6B-BKvNof2Js 1644
frame_semantic_transformer/training/ModelRecorder.py sha256=4QcmBi7NaQpvWjQSTb4qp6FIxMMGbXoJTo20jvBwsOI 3400
frame_semantic_transformer/training/TrainingDataModule.py sha256=4j6h5kqnmR5SbbLj30PPSfm2aZRjaPwXdNMy_NZ5CnE 1773
frame_semantic_transformer/training/TrainingModelWrapper.py sha256=-wd25v6k1wjl2q5sjSpMU_bpS7hT27H9Btdx5wgwcPw 8420
frame_semantic_transformer/training/__init__.py sha256=rRyUALETgRrsee1ajwt2SyDxi2yyb6wi6M4OOM_Ag34 186
frame_semantic_transformer/training/evaluate_batch.py sha256=fCD9qKbASQlXyx3WmKp8Ywi3flkafredJDLjsBcpTT4 4714
frame_semantic_transformer/training/evaluate_best_val_models.py sha256=mjcYVFhm9vyoK13-84gfxQua3QlvxfejWI2Bc2DG0F4 1454
frame_semantic_transformer/training/evaluate_model.py sha256=RIiFQ57nOdx6m6jgbJ4YbmoJ9INMlgKo9UPT-YuLm_o 3388
frame_semantic_transformer/training/find_best_val_model_paths.py sha256=KCicu0v9UjvkYwWuRQGfvbn5ghqFvmqbZBh0gQMzlEw 1925
frame_semantic_transformer/training/train.py sha256=thHdzZRuaT2i-P5emcbRQv_Uo8jIRT_5s7hOZS91Fzc 5400
frame_semantic_transformer-0.10.0.dist-info/LICENSE sha256=Ux853LGONRUrh06u_wM5MUTT0_GfiW6YqrloKJMlDxk 1069
frame_semantic_transformer-0.10.0.dist-info/METADATA sha256=Es9zS0fkyxBonkVvKR_6lHly3roQq9btfLEXT1CrdvY 8338
frame_semantic_transformer-0.10.0.dist-info/WHEEL sha256=d2fvjOD7sXsVzChCqf0Ty0JbHKBaLYwDbGQDwQTnJ50 88
frame_semantic_transformer-0.10.0.dist-info/RECORD