aces-metric

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0.0.4 aces_metric-0.0.4-py3-none-any.whl

Wheel Details

Project: aces-metric
Version: 0.0.4
Filename: aces_metric-0.0.4-py3-none-any.whl
Download: [link]
Size: 13217
MD5: 1b1a9fabc3bd1632019d830bd6b99340
SHA256: 8b1526374996d4d72d08853c6b177094619b9e1f641daafe311ae9134c86e423
Uploaded: 2024-01-29 13:17:50 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: aces-metric
Version: 0.0.4
Summary: ACES metric for evaluating automated audio captioning models based on the semantics of sounds
Author-Email: Gijs Wijngaard <hi[at]gijs.me>
License: MIT License Copyright (c) 2023 Gijs Wijngaard 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.
Requires-Python: <3.11,>=3.9
Requires-Dist: transformers (<4.31.0)
Requires-Dist: numpy (~=1.24.1)
Requires-Dist: torch (==1.13.1)
Requires-Dist: sentence-transformers (~=2.2.2)
Requires-Dist: tqdm (~=4.49.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1186 characters]

WHEEL

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Tag: py3-none-any

RECORD

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aces/__init__.py sha256=DuZjyCxsQxQbArVYjxLQFDgmgItg09pve8OF06qnMJY 61
aces/main.py sha256=3FyTozpmSNBx7qu99CWFWqZRQ8A-J_BkMDIp9-cskbY 16140
aces/fense/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
aces/fense/data.py sha256=j5GpSevr3fTbQyyie_0zmJ4mgz7md9S7I3MAjzbF-AQ 498
aces/fense/download_utils.py sha256=mlnaXLNvz81PkAVyJR3CISvm2zmIQB4yQpxU0mcygds 5161
aces/fense/evaluator.py sha256=-AXofXfgDQxRx89wGpnyFFk_TUJYnRH4I1cV7Hv7_T0 7044
aces/fense/model.py sha256=qcyQyzyOQpkP76Xiae_PX-Jvky66xCnmtJbegTPdqVU 798
aces_metric-0.0.4.dist-info/LICENSE sha256=XS8FvejahOqpgtk6dfVfo2NA-UOBJL_05HrIb0slPBE 1071
aces_metric-0.0.4.dist-info/METADATA sha256=vF5G9xcU5srXYEkywtF3Uhs_62ArxzkvfHhkTPyCB9k 2897
aces_metric-0.0.4.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
aces_metric-0.0.4.dist-info/top_level.txt sha256=m2PtBryfLgXTVAGtxVQaR1odlw4m5O8XWXulNygXK10 5
aces_metric-0.0.4.dist-info/RECORD

top_level.txt

aces