NYTK / reading-comprehension-hurc-hubert-hungarian

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Total runs: 17
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7-day runs: 4
30-day runs: 6
Model's Last Updated: January 10 2023
question-answering

Introduction of reading-comprehension-hurc-hubert-hungarian

Model Details of reading-comprehension-hurc-hubert-hungarian

Hungarian Reading Comprehension with finetuned huBERT model

For further details, see our demo site .

Results
Model Exact Match F1
huBERT 64.50 69.03
mT5 69.51 76.26
Usage with pipeline
from transformers import pipeline

context = "A kedd hajnalban elhunyt Somló Tamásra emlékezett zenésztársa, Presser Gábor. Somló Tamás nagyszerű egyénisége, énekhangja és éneklési stílusa egészen egyedülálló volt' – fogalmazott. '1968 lehetett, amikor először találkoztunk, gyakorlatilag váltottuk egymást az Omega együttesben. Tamás akkor indult el az artista pályán, miközben zenélt is. Az Omegában csak néhányszor játszottunk együtt, miután én beléptem, ő éveket töltött külföldön artistaként, aztán összefutottunk az LGT-ben, ennek már 43 éve' - idézte fel Presser Gábor. Somló Tamás színpadi jelenléte nagy húzóerőt jelentett a zenekar számára és zenészi képességeit mutatta az is, hogy amikor Frenreisz Károly helyett belépett az LGT-be, néhány hét alatt megtanult basszusgitározni."
question = "'Nem ismerek olyan embert, aki Tamásra haragudott volna. Életét úgy fejezte be, ahogyan élt: utolsó fellépésére, amely talán egy hónappal ezelőtt lehetett, már nagyon nehezen tudott csak elmenni, de nem mondta le, mert Pécsett egy jótékonysági koncerten játszott beteg gyerekeknek' - mondta [MASK]."

qa = pipeline(task="question-answering", model="NYTK/reading-comprehension-hurc-hubert-hungarian")

print(qa({"question": question, "context": context})["answer"])
Citation

If you use this model, please cite the following paper:

@article {yang-ligeti-rc,
    title = {Building machine reading comprehension model from scratch},
    journal = {Annales Mathematicae et Informaticae},
    year = {2023},
    author = {Yang, Zijian Győző and Ligeti-Nagy, Noémi},
    pages = {accetped}
}

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17
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0
24-hour runs
1
3-day runs
4
7-day runs
6
30-day runs

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