Wheelodex » Projects » summ-eval

summ-eval

View on PyPI — Reverse Dependencies (2)

0.892 summ_eval-0.892-py3-none-any.whl

Wheel Details

Project: summ-eval
Version: 0.892
Filename: summ_eval-0.892-py3-none-any.whl
Download: [link]
Size: 111895
MD5: 6b5c4d1ca758ff9a2961ebb2413bc6f1
SHA256: 3855e7d05956586c24ebe27a33513b103aca5766ebd5edf8690645c61b98fd61
Uploaded: 2022-04-05 13:48:52 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: summ-eval
Version: 0.892
Summary: Toolkit for summarization evaluation
Author: Alex Fabbri, Wojciech Kryściński
Author-Email: alexander.fabbri[at]yale.edu, wojciech.kryscinski[at]salesforce.com
Home-Page: https://github.com/Yale-LILY/SummEval
License: MIT
Requires-Dist: bert-score
Requires-Dist: gin-config
Requires-Dist: moverscore
Requires-Dist: pytorch-pretrained-bert
Requires-Dist: psutil
Requires-Dist: six
Requires-Dist: numpy (>=1.11.0)
Requires-Dist: stanza
Requires-Dist: sacremoses
Requires-Dist: transformers (>=2.2.0)
Requires-Dist: spacy (>=2.2.0)
Requires-Dist: sacrebleu
Requires-Dist: pyemd (==0.5.1)
Requires-Dist: click
Requires-Dist: nltk
Requires-Dist: cython
Requires-Dist: scipy
Requires-Dist: networkx
Requires-Dist: blanc
Description-Content-Type: text/markdown
[Description omitted; length: 15132 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
summ_eval/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
summ_eval/bert_score_metric.py sha256=eXeDJjvObscy9xi_o-y443GJH8GjLVcL3xMt_DUpwWc 4101
summ_eval/blanc_metric.py sha256=h0BdSzxXFeuowIZ2YbCprv-ATFtjZZfjdqwNGq8G0DA 1724
summ_eval/bleu_metric.py sha256=98mscn3D_6MKFPIGGe1mQbn2aI_xGOOTQB2a8F68Ch4 2650
summ_eval/calc_scores.py sha256=c-SdFKFelFKdsnl8BrJQsaqf1iZOmofctYkyzw8rF4E 13733
summ_eval/chrfpp_metric.py sha256=BQOXUjaH6HFLgFv0HW4zRwL-lUftnlSjMuiTTbbwHAY 1495
summ_eval/cider_metric.py sha256=dMvPHOrT5pOdnCGYVqzC4L3NhTQafI6mGnPS0Ng1W_o 2667
summ_eval/cider_utils.py sha256=zTLhS2EcPxV-ZgbOarv1_WddPesXeXFECoOfNEW8L-4 7738
summ_eval/data_stats_metric.py sha256=JfAq3vpmRnk5KQb2fedckOBoCIZF9nl8zr_CFgFipv8 4154
summ_eval/data_stats_utils.py sha256=BUJdAFLTYOM45z5FWTl3pBgGVueQ9nBTPzZLGsfGSYk 6180
summ_eval/meteor_metric.py sha256=zwNhoZZ_bk3JC-mLIQE62Y8eFDWomZ3FM2LHs5upRB8 5877
summ_eval/metric.py sha256=hoiHkJa1d8I6Ie95qPKo-25_ahy_CCRdGdyiTFshHEA 205
summ_eval/mover_score_metric.py sha256=r1q_21WLMSICMGkEntqbJXsdyx24tD7GuOnfjQGnQuE 3577
summ_eval/rouge_metric.py sha256=Ti-dB50mRhkd3C82dg6aC1hVTg_DyYqTDgaKADy9nGY 4721
summ_eval/rouge_we_metric.py sha256=ivz9SA8CVuBVe-Nhe5YDUlriKwQoD3h2FeF25W0jk3M 3079
summ_eval/s3_metric.py sha256=MLon0QGrQHwDV3tXN25vWlTO0kq8Gl-31QLGwEL9Pf0 3044
summ_eval/s3_utils.py sha256=KSS-I5kekgjdgBFnddksZVA81tePVRCggzlzpBxy92I 10944
summ_eval/sentence_movers_metric.py sha256=ggQVRGLupfeGq5aMkzq1_cAn6SfsJPimrKXzcn0p1K4 2804
summ_eval/sentence_movers_utils.py sha256=zE5sav3-Cj3JbuViMp96M-nnh3alLnYHtYNjTKjfNs0 11564
summ_eval/summa_qa_metric.py sha256=qpfMFkNXzWeee9N5HRmA6uabhLHSIZ2HwXYTmhCl8OM 3049
summ_eval/summa_qa_utils.py sha256=lV-xn6_H5RWcgPxCaMY5z0yjM7e0dnJpP_R2Zdxb1dw 8638
summ_eval/supert_metric.py sha256=8koSjx_S7Mqj_GjT5s34zkNq8BkEFOAuApqgtI-djRc 2508
summ_eval/supert_utils.py sha256=bHFcirSsN70W6dyZzWW-udkllu_9C3dCvobHtgtRJrc 17578
summ_eval/syntactic_metric.py sha256=K4IogzSv0NGoilmumDCpDQIvW4YMTMc4FdBChwzE76Y 2337
summ_eval/syntactic_utils.py sha256=5HeaUW3YXeIY-soJUcBw3D7AP4jStM1nQYTJTm2tM3Y 3573
summ_eval/test_util.py sha256=1-BVThb6fMyxImjo49V-o_L8Zn9SwcKXWIV_tIUo7Ac 14304
summ_eval/sentence_transformers/LoggingHandler.py sha256=FWyDjyIs1A0yaKWPJ5JhpwfQTsPiUvv7GJ8NJ-OMWk0 401
summ_eval/sentence_transformers/SentenceTransformer.py sha256=KBARpuVcPxZQDy1gEtjFLv0jfbU3iYfjb-tCRX37G_o 18124
summ_eval/sentence_transformers/__init__.py sha256=GCKQSk23onkM9UjP_MHL3rQqDyKZ7cPditE-0oNaI90 326
summ_eval/sentence_transformers/data_samplers.py sha256=fh26BM8gu745LHnoy1vun9rlYvlABrBfS2-b-z5l8tk 3061
summ_eval/sentence_transformers/datasets.py sha256=FZavApNJXkDvOp7umjrciewdS_pEja4fusuC9moH_oA 8805
summ_eval/sentence_transformers/util.py sha256=XerzSrspqrh8sAfYzZRJhe0g6yqF2NN0z5nUBaL0q_s 2554
summ_eval/sentence_transformers/evaluation/BinaryEmbeddingSimilarityEvaluator.py sha256=lj2gh6pWsBOGGwI0d49NBK3RWquvjlRI0GcLKoaUBaE 5526
summ_eval/sentence_transformers/evaluation/EmbeddingSimilarityEvaluator.py sha256=YSjrCH4UFYzyugl_hExTzTD1fDVrkKCa7zbKiqGgqT4 6157
summ_eval/sentence_transformers/evaluation/LabelAccuracyEvaluator.py sha256=R11paay6e-3ud0dhKMERAnOHEjDcoWu7Fq8j2OMva-U 2591
summ_eval/sentence_transformers/evaluation/SentenceEvaluator.py sha256=kRol8D6HJy3hh60ZCM6GmW4Y7zwYOe9Q84hEt0faLr0 1084
summ_eval/sentence_transformers/evaluation/SequentialEvaluator.py sha256=qOCCbCuiTPyEcYgd6TBH5ryxGj8_uOCV0kVLe46omKI 721
summ_eval/sentence_transformers/evaluation/SimilarityFunction.py sha256=VZq2u0BhTrvHzXqemN4-spadWuf9aTp7jAlfciB67cc 127
summ_eval/sentence_transformers/evaluation/TripletEvaluator.py sha256=w3yg6ZxgLPq-Q0D5xx1ecOTlX9uiK3cLfTPqTty70QI 4819
summ_eval/sentence_transformers/evaluation/__init__.py sha256=bnya1RuTrhxi7p4Vrg8-aobGxH1Op_rpUXKnDChE3Sk 414
summ_eval/sentence_transformers/losses/BatchHardTripletLoss.py sha256=2x1ZK_rnwfh_V1l4jdl6fD3a80jRdW5w1MjeHi8eI1Q 9337
summ_eval/sentence_transformers/losses/CosineSimilarityLoss.py sha256=CYApSbIi9vuisYzYske6x8nNXivRTLbXrbfBMjqiBnQ 791
summ_eval/sentence_transformers/losses/MultipleNegativesRankingLoss.py sha256=l6x3aQRMLZBfE14ArgPniHcSoV6nE3uFg5y7Cz2qv1Y 1784
summ_eval/sentence_transformers/losses/SoftmaxLoss.py sha256=epdJd1H6YZwADJg3zDasG59E96wD0sCBLig9hQIfTXE 2222
summ_eval/sentence_transformers/losses/TripletLoss.py sha256=0QGRFJ9K819RMWSiMXXwUCKDy0cwdG5fqUMth8XjaHQ 1259
summ_eval/sentence_transformers/losses/__init__.py sha256=_aI_BEFSIC6PnJEauwNkgUE75QFLi3mEM7qEnvGrH8I 169
summ_eval/sentence_transformers/losses/test_batch_hard_triplet_loss.py sha256=qqEaEvNk6TnKULqyxyFXhCMGOYgDtG20wPBX3HIK6lI 8160
summ_eval/sentence_transformers/models/AbstractModel.py sha256=A8Bnifhs7zQ_ygU69_qjpo38HAAVtdWYrEMt8jUEGC8 677
summ_eval/sentence_transformers/models/BERT.py sha256=-OVECDskN3UsoAAM8DomSPC4BP0PxU4SkhxV360EFog 4249
summ_eval/sentence_transformers/models/BoW.py sha256=lQqsJ0Lx8GHuvqwcSLaWPFdavwy96wmx0C9lwHBGass 2943
summ_eval/sentence_transformers/models/CNN.py sha256=9ygLS9oY29J-E4XxMaQVy3g9XcjIlmuKqjZCJvWJBbU 2462
summ_eval/sentence_transformers/models/Dense.py sha256=dsDxhPx-CasBG24UnZytfXt9EVe87vPoVZFN7HpP7yw 1861
summ_eval/sentence_transformers/models/LSTM.py sha256=g4FsdH-6mr5wlwakxXAajBhHGYqTbF2Tn0rpEc17ILM 2369
summ_eval/sentence_transformers/models/Pooling.py sha256=HvJfUdvshzta-KtF5oKCR0LkpI4ulPBmKhupdyVyZ4c 3979
summ_eval/sentence_transformers/models/RoBERTa.py sha256=pkvtpfWmKbDisGbWDQVAt3QVhwBy9p-yHrrifUuE1rU 3933
summ_eval/sentence_transformers/models/WordEmbeddings.py sha256=l00_2GtVhBxDdSLRlNvCIwW086Qcc5ypHbv0PZUS_Vs 5842
summ_eval/sentence_transformers/models/WordWeights.py sha256=nPljecBq7oZnZxaHkBRiYZVX612ydLib63wGbsqeMQY 3005
summ_eval/sentence_transformers/models/XLNet.py sha256=mLCFCkHdN3r65NjOYN1WyjtFRyGft7FbhNXpXqv2n7U 4441
summ_eval/sentence_transformers/models/__init__.py sha256=tIj2DGtmk1UxSDYLoRlzV07WLEL3o0MnpAxqe4Ctw5E 276
summ_eval/sentence_transformers/models/tokenizer/PhraseTokenizer.py sha256=YnYq6OsIcUiD5LfaDBJk1_SoWXBur_SrQNqZVQMsWho 4088
summ_eval/sentence_transformers/models/tokenizer/WhitespaceTokenizer.py sha256=iymImw9K1o8Y2g-EESW8pPBqPMxuU07iZwiPjiStUuI 2238
summ_eval/sentence_transformers/models/tokenizer/WordTokenizer.py sha256=oEk9VsBgXP499BT0X9dtbUdEnGcjlznM2LBVOTyojKU 3838
summ_eval/sentence_transformers/models/tokenizer/__init__.py sha256=_vqvyTyZSv-FCfqYU3crL9nLZPbaQHLlrwzPpZhY9M0 166
summ_eval/sentence_transformers/readers/InputExample.py sha256=GTg9t5EJO5pAWaEopYaCzTD4Ds8e4q6mfHFLRzMSDLI 638
summ_eval/sentence_transformers/readers/LabelSentenceReader.py sha256=m_alpSDB6v2OecixBpLCYVw6IqZuF2auT_6auSpl6os 1208
summ_eval/sentence_transformers/readers/NLIDataReader.py sha256=iQIiHf1y_vPCViHn7sK0TNipamUD5Kcy-L0RTEVUkOA 1690
summ_eval/sentence_transformers/readers/STSDataReader.py sha256=DnbuSWN8ttoyecpXbIUZzwnq4M_YGtsI7H-CSfZVk0Q 1637
summ_eval/sentence_transformers/readers/TripletReader.py sha256=NOk-7cVvxGycC_Ri1qbto1vkq_P8XCwl5CewVnawaP8 1368
summ_eval/sentence_transformers/readers/__init__.py sha256=j6Bmeaf3N4ATgSg1T5mWQzFv04CstpWomKP6m7KFkZM 214
tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/test_bert_score.py sha256=Xntq9Q10F93FYOLsy1dOm6BG3M5NJohDMXrEC1lPJj8 3778
tests/test_bleu.py sha256=KPjVh7ynM7Sux3IOHCTn7YOIzH2ZKXv2m9oQSSLsa-w 592
tests/test_chrfpp.py sha256=Ku03PuKAZZ0gJlZf9Oc7ZB41IIXxT1j4URftSJhTkXA 670
tests/test_cider.py sha256=MfiZu-0nKxXUddyU67yEBnp9KxC8MUPpnEgpMlAsiR8 431
tests/test_data_stats.py sha256=_J9vxlyYyls30ubvza4mqMiK_-qXfu6fMLEPrbhXS2Q 1820
tests/test_meteor.py sha256=wlMI_xmlC8IDR7-pLcX0n4JsFKYctFoEiiry7_eKav0 403
tests/test_mover_score.py sha256=vlJPU2FOyyt7OEqDbTjPNfdzSTASvdSz56FxS6Dsvj4 1802
tests/test_rouge.py sha256=Z_zf2caVwBu-xGdJSinma2pxmfyQ7hKR4lOycYXLVgU 830
tests/test_rouge_we.py sha256=DRssy0E5lqPNlUpr_t1s62_aX2MVpTyLh0gOuiaJ33E 630
tests/test_sentence_movers.py sha256=oBrvPIp6a3tibCLumMwcCL-hFMbuKy9DLZKspmgnyxk 1984
tests/test_summaqa.py sha256=-7wg_gWcqceop_4bAIALjCC99utG_8uo8j7ETsVhgA8 1162
tests/test_syntactic.py sha256=liCUEepsyeVFx3KhWEF8p8fsVsKSDGR9cflrEwWX85I 1127
summ_eval-0.892.dist-info/METADATA sha256=Ym_3cZ3XulBzFMLNeZafCHq-L9XAFNzep33H1i_J4DE 15967
summ_eval-0.892.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
summ_eval-0.892.dist-info/entry_points.txt sha256=SGGA7JnhNihxFVvF1p7HIEJLjE4mYZIDAPailrOAJOM 63
summ_eval-0.892.dist-info/top_level.txt sha256=Y80ySksNohvREid0RMc5_ewnDs3ktDHh-3zmwKZkhCY 16
summ_eval-0.892.dist-info/RECORD — —

top_level.txt

summ_eval
tests

entry_points.txt

[console_scripts]
calc-scores = summ_eval.calc_scores:cli_main