SummEval
Resources for the "SummEval: Re-evaluating Summarization Evaluation" paper
파일 탐색기
최종 버전 다운로드 (.zip)- logo-lily.png
- logo-salesforce.svg
- pair_data.py
- paraphrase-en.gz
- basic.config
- stopwords.txt
- svr.pyr_score.en.pkl
- svr.responsiveness.en.pkl
- adj.exc
- adv.exc
- buildExeptionDB.pl
- noun.exc
- verb.exc
- adj.exc
- adv.exc
- buildExeptionDB.pl
- noun.exc
- verb.exc
- smart_common_words.txt
- WordNet-2.0.exc.db
- AttDef.pod
- AttlistDecl.pod
- Attr.pod
- CDATASection.pod
- CharacterData.pod
- Comment.pod
- Document.pod
- DocumentFragment.pod
- DocumentType.pod
- DOMException.pm
- DOMImplementation.pod
- Element.pod
- ElementDecl.pod
- Entity.pod
- EntityReference.pod
- NamedNodeMap.pm
- NamedNodeMap.pod
- Node.pod
- NodeList.pm
- NodeList.pod
- Notation.pod
- Parser.pod
- PerlSAX.pm
- ProcessingInstruction.pod
- Text.pod
- XMLDecl.pod
- BuildDOM.pm
- DOM.pm
- RegExp.pm
- README.txt
- RELEASE-NOTE.txt
- ROUGE-1.5.5.pl
- runROUGE-test.pl
- __init__.cpython-36.pyc
- __init__.cpython-37.pyc
- data_samplers.cpython-36.pyc
- data_samplers.cpython-37.pyc
- datasets.cpython-36.pyc
- datasets.cpython-37.pyc
- LoggingHandler.cpython-36.pyc
- LoggingHandler.cpython-37.pyc
- SentenceTransformer.cpython-36.pyc
- SentenceTransformer.cpython-37.pyc
- util.cpython-36.pyc
- util.cpython-37.pyc
- __init__.cpython-36.pyc
- __init__.cpython-37.pyc
- BinaryEmbeddingSimilarityEvaluator.cpython-36.pyc
- BinaryEmbeddingSimilarityEvaluator.cpython-37.pyc
- EmbeddingSimilarityEvaluator.cpython-36.pyc
- EmbeddingSimilarityEvaluator.cpython-37.pyc
- LabelAccuracyEvaluator.cpython-36.pyc
- LabelAccuracyEvaluator.cpython-37.pyc
- SentenceEvaluator.cpython-36.pyc
- SentenceEvaluator.cpython-37.pyc
- SequentialEvaluator.cpython-36.pyc
- SequentialEvaluator.cpython-37.pyc
- SimilarityFunction.cpython-36.pyc
- SimilarityFunction.cpython-37.pyc
- TripletEvaluator.cpython-36.pyc
- TripletEvaluator.cpython-37.pyc
- __init__.py
- BinaryEmbeddingSimilarityEvaluator.py
- EmbeddingSimilarityEvaluator.py
- LabelAccuracyEvaluator.py
- SentenceEvaluator.py
- SequentialEvaluator.py
- SimilarityFunction.py
- TripletEvaluator.py
- __init__.py
- BatchHardTripletLoss.py
- CosineSimilarityLoss.py
- MultipleNegativesRankingLoss.py
- SoftmaxLoss.py
- test_batch_hard_triplet_loss.py
- TripletLoss.py
- __init__.cpython-36.pyc
- __init__.cpython-37.pyc
- BERT.cpython-36.pyc
- BERT.cpython-37.pyc
- BoW.cpython-36.pyc
- BoW.cpython-37.pyc
- CNN.cpython-36.pyc
- CNN.cpython-37.pyc
- Dense.cpython-36.pyc
- Dense.cpython-37.pyc
- LSTM.cpython-36.pyc
- LSTM.cpython-37.pyc
- Pooling.cpython-36.pyc
- Pooling.cpython-37.pyc
- RoBERTa.cpython-36.pyc
- RoBERTa.cpython-37.pyc
- WordEmbeddings.cpython-36.pyc
- WordEmbeddings.cpython-37.pyc
- WordWeights.cpython-36.pyc
- WordWeights.cpython-37.pyc
- XLNet.cpython-36.pyc
- XLNet.cpython-37.pyc
- __init__.cpython-36.pyc
- __init__.cpython-37.pyc
- WhitespaceTokenizer.cpython-36.pyc
- WhitespaceTokenizer.cpython-37.pyc
- WordTokenizer.cpython-36.pyc
- WordTokenizer.cpython-37.pyc
- __init__.py
- PhraseTokenizer.py
- WhitespaceTokenizer.py
- WordTokenizer.py
- __init__.py
- AbstractModel.py
- BERT.py
- BoW.py
- CNN.py
- Dense.py
- LSTM.py
- Pooling.py
- RoBERTa.py
- WordEmbeddings.py
- WordWeights.py
- XLNet.py
- __init__.cpython-36.pyc
- __init__.cpython-37.pyc
- InputExample.cpython-36.pyc
- InputExample.cpython-37.pyc
- LabelSentenceReader.cpython-36.pyc
- LabelSentenceReader.cpython-37.pyc
- NLIDataReader.cpython-36.pyc
- NLIDataReader.cpython-37.pyc
- STSDataReader.cpython-36.pyc
- STSDataReader.cpython-37.pyc
- TripletReader.cpython-36.pyc
- TripletReader.cpython-37.pyc
- __init__.py
- InputExample.py
- LabelSentenceReader.py
- NLIDataReader.py
- STSDataReader.py
- TripletReader.py
- __init__.py
- data_samplers.py
- datasets.py
- LoggingHandler.py
- SentenceTransformer.py
- util.py
- __init__.py
- bert_score_metric.py
- blanc_metric.py
- bleu_metric.py
- calc_scores.py
- chrfpp_metric.py
- cider_metric.py
- cider_utils.py
- data_stats_metric.py
- data_stats_utils.py
- meteor_metric.py
- metric.py
- mover_score_metric.py
- rouge_metric.py
- rouge_we_metric.py
- s3_metric.py
- s3_utils.py
- sentence_movers_metric.py
- sentence_movers_utils.py
- summa_qa_metric.py
- summa_qa_utils.py
- supert_metric.py
- supert_utils.py
- syntactic_metric.py
- syntactic_utils.py
- test_util.py
- __init__.py
- test_bert_score.py
- test_bleu.py
- test_chrfpp.py
- test_cider.py
- test_data_stats.py
- test_meteor.py
- test_mover_score.py
- test_rouge.py
- test_rouge_we.py
- test_sentence_movers.py
- test_summaqa.py
- test_syntactic.py
- setup.py
- LICENSE
- README.md
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/Yale-LILY/SummEval
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd SummEval
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
2. 공식 설치 스크립트
쉬움 추천사전 준비물
- Python 3 pip 명령어를 쓰려면 Python이 필요합니다.
pip install summ-eval
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
설치 후 새 터미널을 열고, 프로그램의 버전 확인 명령(예: --version)으로 정상 설치됐는지 확인하세요.
이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.
3. Python
쉬움사전 준비물
pip install summ-eval
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
pip install -e .
requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.
python -m unittest discover
파이썬 스크립트(또는 모듈)를 실행합니다.
에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.
이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.
// repository documentation
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