python - エラー: トークンは 1 つのエンティティの一部にしかできないため、設定するエンティティが重複しないようにしてください

Question

次のコードを使用して、spaCy NER データセット形式を Flair 形式に変換しようとしているときに:

from spacy.gold import biluo_tags_from_offsets
nlp = spacy.load("en_core_web_md")

ents = TRAIN_DATA

with open("flair_ner.txt","w") as f:
    for sent,tags in ents:
        doc = nlp(sent)
        biluo = biluo_tags_from_offsets(doc,tags['entities'])
        for word,tag in zip(doc, biluo):
            f.write(f"{word} {tag}\n")
        f.write("\n")

重複エラーが発生しています:

ValueError: [E103] Trying to set conflicting doc.ents: '(1155, 1199, 'Email Address')' and '(1143, 1240, 'Links')'. A token can only be part of one entity, so make sure the entities you're setting don't overlap.

次に例を示します。

[('Afreen Jamadar\nActive member of IIIT Committee in Third year\n\nSangli, Maharashtra - Email me on Indeed: indeed.com/r/Afreen-Jamadar/8baf379b705e37c6\n\nI wish to use my knowledge, skills and conceptual understanding to create excellent team\nenvironments and work consistently achieving organization objectives believes in taking initiative\nand work to excellence in my work.\n\nWORK EXPERIENCE\n\nActive member of IIIT Committee in Third year\n\nCisco Networking -  Kanpur, Uttar Pradesh\n\norganized by Techkriti IIT Kanpur and Azure Skynet.\nPERSONALLITY TRAITS:\n• Quick learning ability\n• hard working\n\nEDUCATION\n\nPG-DAC\n\nCDAC ACTS\n\n2017\n\nBachelor of Engg in Information Technology\n\nShivaji University Kolhapur -  Kolhapur, Maharashtra\n\n2016\n\nSKILLS\n\nDatabase (Less than 1 year), HTML (Less than 1 year), Linux. (Less than 1 year), MICROSOFT\nACCESS (Less than 1 year), MICROSOFT WINDOWS (Less than 1 year)\n\nADDITIONAL INFORMATION\n\nTECHNICAL SKILLS:\n\n• Programming Languages: C, C++, Java, .net, php.\n• Web Designing: HTML, XML\n• Operating Systems: Windows […] Windows Server 2003, Linux.\n• Database: MS Access, MS SQL Server 2008, Oracle 10g, MySql.\n\nhttps://www.indeed.com/r/Afreen-Jamadar/8baf379b705e37c6?isid=rex-download&ikw=download-top&co=IN',
  {'entities': [(1155, 1199, 'Email Address'),
    (1143, 1240, 'Links'),
    (743, 1141, 'Skills'),
    (729, 733, 'Graduation Year'),
    (706, 728, 'Location'),
    (675, 703, 'College Name'),
    (631, 673, 'Degree'),
    (625, 630, 'Graduation Year'),
    (614, 623, 'College Name'),
    (606, 612, 'Degree'),
    (458, 479, 'Location'),
    (438, 454, 'Companies worked at'),
    (104, 148, 'Email Address'),
    (62, 68, 'Location'),
    (0, 14, 'Name')]}),