Wheelodex » Projects » tieval

tieval

View on PyPI — Reverse Dependencies (0)

0.1.2 tieval-0.1.2-py3-none-any.whl

Wheel Details

Project: tieval
Version: 0.1.2
Filename: tieval-0.1.2-py3-none-any.whl
Download: [link]
Size: 36279
MD5: d14efd608edb6c935dd8061984701722
SHA256: ad2332e86f140ff6e292387f68be8dd21b07c146572a42f14168dbc85edf4dd8
Uploaded: 2024-03-05 16:10:04 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: tieval
Version: 0.1.2
Summary: A framework for evaluation and development of temporal-aware models.
Author-Email: Hugo Sousa <hugo.o.sousa[at]inesctec.pt>
Maintainer-Email: Hugo Sousa <hugo.o.sousa[at]inesctec.pt>
Project-Url: Documentation, https://tieval.readthedocs.io/
Project-Url: Repository, https://github.com/LIAAD/tieval
License: MIT License Copyright (C) 2023, INESC TEC tieval: An Evaluation Framework for Temporal Information Extraction Systems This software is authored by: Hugo Sousa You can reach INESC TEC Technology Licensing Office (TLO) at info.sal@inesctec.pt, or Campus da Faculdade de Engenharia da Universidade do Porto Rua Dr. Roberto Frias 4200-465 Porto Portugal Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Keywords: temporal information,evaluation,temporal information extraction,temporal relation classification,temporal relation extraction,temporal expression identification,event identification,event classification
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.8
Requires-Dist: nltk
Requires-Dist: xmltodict
Requires-Dist: networkx (>=2.8.1)
Requires-Dist: cached-path (==1.1.2)
Requires-Dist: allenlp (==2.9.3); extra == "models"
Requires-Dist: py-heideltime; extra == "models"
Requires-Dist: pytest; extra == "test"
Provides-Extra: models
Provides-Extra: test
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3475 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
tieval/__init__.py sha256=yTka8ovQweb05FN3uM_2SLDw4w3WC4pdgAF1-K-s9Fw 83
tieval/__main__.py sha256=Kv8NyBMOMHuBIq7X--k724GgCj3B6Epvk6W-14Of_Qo 941
tieval/base.py sha256=OCcxSdQgCxv_Z8xXl7yZPRyN0JgCm7r15LyHtbhxuQc 5428
tieval/closure.py sha256=k7JJccyk9IMsCB0mihMm2S5vERJpTVd-cpvYXROQfs8 5565
tieval/entities.py sha256=_TO2jMfE1NafwOhy-3KJCXjiWruMJ2EAgWfairD6rLo 2542
tieval/links.py sha256=oTJjjVa6qs3UqyVaIPlxzpDdpHGXyyHvjx4MWi-Fo04 3756
tieval/temporal_relation.py sha256=QwTYDA6B4NCssxTyV4GTkh46aPrlknNgtr1QuxO-Q2s 10263
tieval/utils.py sha256=riSfBb2SM-KLNrIGXlIPcf_vAo-_5757vaR6RUXOWPU 2176
tieval/datasets/__init__.py sha256=BiVpUnRX4gKoZH9EPfyB2wXYGQrbJ--iiXVFlN6WuDk 1306
tieval/datasets/metadata.py sha256=dQncf6BHhNs3JFytzL2sG5HMxmoUsg9LQjxZRNeA4_U 12812
tieval/datasets/utils.py sha256=uFtW88CRbi_4Xbf4QaEKc_vJOlReLGB9ufIHzI9DLew 762
tieval/datasets/readers/__init__.py sha256=mYfTmjlhoPD6dWO7UjKRj-RZzWQd_rrMmBWI2Cod42E 93
tieval/datasets/readers/dataset.py sha256=X9G-a6yRW5fbqZG7-5dpy57usd4aA3eqwR7bixzQIu4 8428
tieval/datasets/readers/document.py sha256=H2p1c_HzTrXznSTYV3epQnLExyD9p-R3Nq6yv5Crm94 43891
tieval/evaluate/__init__.py sha256=QwuGY-wg6q5xkiJ2tsv0kZhS9h2PzrWtXc14vVWOgFc 7807
tieval/evaluate/metrics.py sha256=xNQw9EZl1O1TspQMtm7cRiXnPoWt3Ja0Um3SF2ZN-oY 1879
tieval/models/__init__.py sha256=RaO2PCM1--VZ_ZxxCBC9fAFnlJ_Ym2NtGrQnpyCHk3E 417
tieval/models/base.py sha256=EEvI1f5hkqq5ImtaGMmSj1pEwh5AXxMMJgzRObTDQbs 644
tieval/models/metadata.py sha256=Q8uvZSq3bkeg-MzdqSfGyht_RlhsvevW0m_blTAJDYA 334
tieval/models/classification/__init__.py sha256=RnlJbaT2BOF3Th0ZIMFLJogtPCMp__SISm6HsAMu_gQ 72
tieval/models/classification/temporal_relation/__init__.py sha256=ezyCiGjJ6W38LYglrpnGwztugqeyGq2fm22XmyQ8-ss 81
tieval/models/classification/temporal_relation/cogcomp2.py sha256=wA2RXtfDgbqG6sJvPwFJhO-sBjDaIx2pHl2eyFguJf0 10255
tieval/models/identification/__init__.py sha256=1cTQEuZOO03kuicUzwlo75k45iqIRIdadf0O1n5z77E 208
tieval/models/identification/event.py sha256=TdPHiWzWqxOAGB_SjGX08EgillMWoYZDQso5Kzq7IVM 4272
tieval/models/identification/timex.py sha256=SU0SzF3oy8vkayzqAwRbt-I_9y6DZZupAweUcZzlMBw 5523
tieval-0.1.2.dist-info/LICENSE sha256=ZXSgBUOSP8RMp4cDvLSazmzIOnac3vQbxtr46jnFcQ8 1377
tieval-0.1.2.dist-info/METADATA sha256=_9kHZpsdr7S5NINtbZf7u_Jexk8hSN0-D2PGvpc-WWY 6357
tieval-0.1.2.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
tieval-0.1.2.dist-info/top_level.txt sha256=mTilqpc1sztEfqrqdGmsgeUYoCbk_FB8DCdX3_RyOpU 7
tieval-0.1.2.dist-info/RECORD — —

top_level.txt

tieval