o hq$@s2dZddlZddlZddlZddlmZddlZddlmZddlZddl m Z ddl m m mmZddZdd Zd d Zd d ZddZddZedkreZejdedddejdedddejdedddejdedddejdedd dejd!edd"deZeedSdS)#a6 Converts a .json file from AMT to a .bio format and then a .json file To ignore Facility and Product, turn NORP into miscellaneous: python3 stanza/utils/datasets/ner/convert_amt.py --input_path /u/nlp/data/ner/stanza/en_amt/output.manifest --ignore Product,Facility --remap NORP=Miscellaneous To turn all labels into the 4 class used in conll03: python3 stanza/utils/datasets/ner/convert_amt.py --input_path /u/nlp/data/ner/stanza/en_amt/output.manifest --ignore Product,Facility --remap NORP=MISC,Miscellaneous=MISC,Location=LOC,Person=PER,Organization=ORG N) itemgetter)tqdm)write_sentencescCsng}d}d}d}t|dd}t|D]\}}t|}t|dgkr*|d7}qd|vr3|d7}q|d} d} |D]0} | dksH| drIq=d|| vrPq=|| d} d | vr[q=d | vrm| duritd || d } q=| durw|d7}qtd d | D} | r|d7}|dkrt d t | | | | fqWdn1swYt dt ||||f|S)a  Read the json file and extract the NER labels Will not return lines which are not labeled Return format is a list of lines where each line is a tuple: (text, labels) labels is a list of maps, {'label':..., 'startOffset':..., 'endOffset':...} rzutf-8)encodingsourceNmetadata annotationsentitiesz0Found a map with multiple annotations at line %dc3s&|]tfdddDVqdS)c3s|]}|vVqdS)N.0xentityr `/var/www/html/env_mimamsha/lib/python3.10/site-packages/stanza/utils/datasets/ner/convert_amt.py Fsz&read_json...)label startOffset endOffsetN)any)r r rrrFszread_json..zIFound an entity which was missing either label, startOffset, or endOffsetz_Found %d labeled lines. %d lines were blank, %d lines were broken, and %d lines were unlabeled) open enumeratejsonloadssortedkeysendswith ValueErrorrprintappendlen)input_filenamedocsblank unlabeledbrokenfinline_idxlinedocrr kr is_brokenr r r read_jsonsX      (r-cs,s|Stdfdd|D}|S)N,cs*g|]}|dfdd|dDfqS)rcsg|] }|dvr|qS)rr r ignoredr r Yz4remove_ignored_labels...rr )r r*r/r rr1Ys"z)remove_ignored_labels..)setsplit)r#r0new_docsr r/rremove_ignored_labelsRs r6c Cs|s|Si}|dD]}|d}|d||d<q t|g}|D]%}t|d}|D]}||d|d|d<q.|d|f} || q#|S)Nr.=rrr)r4rcopydeepcopygetr ) r#remap remappings remappingpiecesr5r*r rnew_docr r r remap_labels]s   r@c Csg}d}d}d}|D]P}|\}}t|ddd}g}|D]6} |d7}t|D]&} | d| dkr>| d| dkr>|d7}n| d| dkrL|d7}nq&|| q|||fq td|||f|S) z Currently the NER tool does not handle nesting, so we just throw away nested entities In the event of entites which exactly overlap, the first one in the list wins rcSs|d|d fS)Nrrr )rr r r~sz remove_nesting..)keyrrrz7Ignored %d exact and %d nested labels out of %d entries)rreversedr r) r#r5nestedexacttotalr*rlabels new_labelsrotherr r rremove_nestingqs.   rJcCs`||}|j}|D] }|jD]}d|_qq |D]}|d}|d} |d} |D]}|jdj| kr;|jdj| kr;nq'qd} d} t|jD]U\} }|j| kr\|j| kr\|} d|| _n2| dur|j| krr| dkrr|j| d } n*|j| kr| dkr|jd vr|j| d } nd ||_|j| kr| dur|} nqF| dus| durtd qd d|DS)zt Given a source text and a list of labels, tokenize the text, then assign labels based on the spans defined OrrrrNzB-r)r..zI-zThis should not happencSsg|] }dd|jDqS)cSsg|]}|j|jfqSr )textner)r tokenr r rr1sz*process_doc...)tokens)r sentencer r rr1r2zprocess_doc..) sentencesrQrO start_charend_charrrNAssertionError)rrGpiper*rSrRrPrrO start_offset end_offset start_token end_token token_idxr r r process_docsL   r]cCst|j}t|dkrtddSt||j}t||j}t|}t j |j dd}g}t |D]}| tg||Rq/tdt||j}t|j|td|j|drd|dd d }n|d }t||dS) z Read in a .json file of labeled data from AMT, write out a converted .bio file Enforces that there is only one set of labels on a sentence (TODO: add an option to skip certain sets of labels) rz,Error: no documents found in the input file!Ntokenize) processorszUFound %d total sentences (may be more than #docs if a doc has more than one sentence)zSentences written to %sz.bioz.json)r- input_pathr!rr6ignorer@r;rJstanzaPipelinelanguagerextendr] output_pathrrprepare_ner_fileprocess_dataset)argsr#rWrSr* bio_filename json_filenamer r rmains&       rm__main__z --languageenzLanguage to process)typedefaulthelpz --input_pathzoutput.manifestzWhere to find the filesz --output_pathzdata/ner/en_amt.test.biozWhere to output the resultsz--json_output_pathzIWhere to output .json. Best guess will be made if there is no .json filez--ignorez:Ignore these labels: comma separated list without B- or I-z--remapz)Remap labels: comma separated list of X=Y)__doc__argparser8roperatorrsysrrcstanza.utils.datasets.ner.utilsr*stanza.utils.datasets.ner.prepare_ner_fileutilsdatasetsrOrhr-r6r@rJr]rm__name__ArgumentParserparser add_argumentstr parse_argsrjr r r rs6    9 !0