Datasets:

Modalities:
Text
Formats:
csv
Languages:
Hebrew
ArXiv:
Libraries:
Datasets
pandas
License:
Dataset Viewer
Auto-converted to Parquet Duplicate
context
stringlengths
2.34k
469k
abstract
stringlengths
87
42.5k
topic
stringlengths
21
142
โ™ฆ . .ืžื‘ื•ื .ื”ื”ืกื“ืจื™ื ื”ื—ื•ืงื™ื™ื ืœืจื™ืฉื•ื™ ื ื”ื’ื™ื ื•ืœืจื™ืฉื•ื ื›ืœื™ ืจื›ื‘ ื•ืจื™ืฉื•ื™ ื ื ืงื‘ืขื• ื‘ืคืงื•ื“ืช ื”ืชืขื‘ื•ืจื” (ื ื•ืกื— ื—ื“ืฉ), ื”ืชืฉื›"ื-1961 , ื•ื‘ืชืงื ื•ืช ืฉื”ื•ืชืงื ื• ืขืœ ืคื™ื”, ื‘ืขื™ืงืจ ืชืงื ื•ืช ื”ืชืขื‘ื•ืจื”, ื”ืชืฉื›"ื -1961 . ืจืฉื•ืช ื”ืจื™ืฉื•ื™ ืฉื‘ืžืฉืจื“ ื”ืชื—ื‘ื•ืจื” (ืœื”ืœืŸ - ืจืฉื•ืช ื”ืจื™ืฉื•ื™ ืื• ื”ืจืฉื•ืช) ืžื•ืคืงื“ืช ืขืœ ืงื‘ื™ืขืช ื”ื ื—ื™ื•ืช ืœื”ื›ืฉืจืชื ืฉืœ ื ื”ื’ื™ ืจื›ื‘ ืžื ื•ืขื™ ื•ืขืœ ืจื™ืฉื•ื ื•ืจื™ืฉื•ื™ ืฉืœ ื ื”ื’ื™ื ื•ื›ืœื™ ืจื›ื‘. ื”ืจืฉื•ืช...
95 .ื”ื”ืชืžื•ื“ื“ื•ืช ืขื ืชืื•ื ื•ืช ื”ื“ืจื›ื™ื . .ืžืžืฆืื™ ืžืขืงื‘ .ืคืขื•ืœื•ืช ื”ื‘ื™ืงื•ืจืช .ื”ื”ืชืžื•ื“ื“ื•ืช ืขื ืชืื•ื ื•ืช ื”ื“ืจื›ื™ื - ืžืขืงื‘ ืžื•ืจื—ื‘ ื‘ืžืฉืจื“ ื”ืชื—ื‘ื•ืจื” ื•ื”ื‘ื˜ื™ื—ื•ืช ื‘ื“ืจื›ื™ื ื•ื‘ืžืฉื˜ืจืช ื™ืฉืจืืœ ื ืขืฉื” ืžืขืงื‘ ืžื•ืจื—ื‘ ืœื‘ื“ื™ืงืช ืชื™ืงื•ืŸ ืœื™ืงื•ื™ื™ื ื‘ื ื•ืฉื ื”ื ืคืงืช ืจื™ืฉื™ื•ื ื•ืช ื ื”ื™ื’ื” ืฉืคื•ืจืกืžื• ื‘ื“ื•ื— ืฉื ืชื™ 56 .ื‘ ืฉืœ ืžื‘ืงืจ ื”ืžื“ื™ื ื” ืขืœ ื”ื”ืชืžื•ื“ื“ื•ืช ืขื ืชืื•ื ื•ืช ื”ื“ืจื›ื™ื ื‘ืื’ืฃ ื”ืชื ื•ืขื” ื”ืืจืฆื™ ืฉืœ ื”ืžืฉื˜ืจื” ื ื‘ื“ืงื• ื“ืจื›ื™ ื”...
ืžื˜ืœื•ืช ืจื•ื—ื‘/ื”ืชืžื•ื“ื“ื•ืช ืขื ืชืื•ื ื•ืช ื”ื“ืจื›ื™ื โ€“ ื”ื ืคืงืช ืจื™ืฉื™ื•ื ื•ืช ื ื”ื™ื’ื” - ืžืžืฆืื™ ืžืขืงื‘
" โ™ฆ .ืžื‘ื•ื .1. ื ื•ืฉืื™ ื”ื‘ื ื™ื™ื” ื”ืœื ื—ื•ืงื™ืช ื•ื”ืคืœื™ืฉื” ืœืงืจืงืขื•ืช ื”ืžื“ื™(...TRUNCATED)
" 45 .ืื›ื™ืคืช ื“ื™ื ื™ ืžืงืจืงืขื™ืŸ . .ืคืขื•ืœื•ืช ื”ื‘ื™ืงื•ืจืช .ื‘ื™ื—ื™ื“ื” ื”ืืจืฆื™ืช (...TRUNCATED)
ืžื˜ืœื•ืช ืจื•ื—ื‘/ืื›ื™ืคืช ื“ื™ื ื™ ืžืงืจืงืขื™ืŸ
" โ™ฆ . .ืžื‘ื•ื .ืชืื•ื ื•ืช ื”ื“ืจื›ื™ื ื•ืชืจื‘ื•ืช ื”ื ื”ื™ื’ื” ื‘ื™ืฉืจืืœ ืื™ื ื ื™ื•ืจ(...TRUNCATED)
" ื”ื”ืชืžื•ื“ื“ื•ืช ืขื ืชืื•ื ื•ืช ื”ื“ืจื›ื™ื 103 .ื”ื˜ื™ืคื•ืœ ื‘ืขื‘ืจื™ื™ื ื™ ืชื ื•ืขื” ืž(...TRUNCATED)
"ืžื˜ืœื•ืช ืจื•ื—ื‘/ื”ืชืžื•ื“ื“ื•ืช ืขื ืชืื•ื ื•ืช ื”ื“ืจื›ื™ื โ€“ ื”ื˜ื™ืคื•ืœ ื‘ืขื‘ืจื™ื™ื (...TRUNCATED)
" โ™ฆ . .ืžื‘ื•ื .1. ืืจื’ื•ืŸ ืคืฉื™ืขื” ื”ื•ื ื—ื‘ืจ ื‘ื ื™ ืื“ื, ืžืื•ื’ื“ ืื• ื‘ืœืชื™ -(...TRUNCATED)
" .ืคืจืง ืจืืฉื•ืŸ .ืžื˜ืœื•ืช ืจื•ื—ื‘ . 3 .ื”ืžืื‘ืง ื‘ืืจื’ื•ื ื™ ื”ืคืฉื™ืขื” . .ืคืขื•ืœื•(...TRUNCATED)
ืžื˜ืœื•ืช ืจื•ื—ื‘/ื”ืžืื‘ืง ื‘ืืจื’ื•ื ื™ ื”ืคืฉื™ืขื”
" โ™ฆ . .ืžื‘ื•ื .ื—ื•ืง ืžืฉืง ื”ื—ืฉืžืœ, ื”ืชืฉื \"ื• - 1996 (ืœื”ืœืŸ- ื”ื—ื•ืง), ื ื•ืขื“ \"ืœ(...TRUNCATED)
" 1195 .ืžืฉืจื“ ื”ืชืฉืชื™ื•ืช ื”ืœืื•ืžื™ื•ืช . .ืคืขื•ืœื•ืช ื”ื‘ื™ืงื•ืจืช .ื‘ืžืฉืจื“ ื”ืชืฉืช(...TRUNCATED)
ืžืฉืจื“ ื”ืื ืจื’ื™ื™ื”/ื”ื™ืขืจื›ื•ืช ืœื”ืชืžื•ื“ื“ื•ืช ืขื ืžื—ืกื•ืจ ื‘ื—ืฉืžืœ
" โ™ฆ . .ืžื‘ื•ื .ื‘ืขืงื‘ื•ืช ื”ื‘ื™ืงื•ืฉ ืœื—ืฉืžืœ ื”ื”ื•ืœืš ื•ื’ื“ืœ ื‘ืžื“ื™ื ื” ื”ื•ืงืžื• (...TRUNCATED)
" ืžืฉืจื“ ื”ืชืฉืชื™ื•ืชื”ืœืื•ืžื™ื•ืช 1219 . ืฉื™ืžื•ืจ ืื ืจื’ื™ื” ื•ื ื™ืฆื•ืœ ืื ืจื’ื™ื•ืช(...TRUNCATED)
"ืžืฉืจื“ ื”ืื ืจื’ื™ื™ื”/ืฉื™ืžื•ืจ ืื ืจื’ื™ื” ื•ื ื™ืฆื•ืœ ืื ืจื’ื™ื•ืช ืžืชื—ื“ืฉื•ืช ื‘ืžืฉ(...TRUNCATED)
" โ™ฆ . .ืžื‘ื•ื .1. ืžืฉืจื“ ื”ืชืฉืชื™ื•ืช ื”ืœืื•ืžื™ื•ืช (ืœื”ืœืŸ - ื”ืžืฉืจื“) ื”ื•ื ื”ืžืช(...TRUNCATED)
" ืžืฉืจื“ ื”ืชืฉืชื™ื•ืช ื”ืœืื•ืžื™ื•ืช 1237 . ืžื›ื•ื ื™ ื”ืžื—ืงืจ ืฉื‘ืื—ืจื™ื•ืช ืžืฉืจื“ ื”(...TRUNCATED)
"ืžืฉืจื“ ื”ืื ืจื’ื™ื™ื”/ืžื›ื•ื ื™ ื”ืžื—ืงืจ ืฉื‘ืื—ืจื™ื•ืช ืžืฉืจื“ ื”ืชืฉืชื™ื•ืช ื”ืœืื•ืž(...TRUNCATED)
" ืžื‘ื•ื .ื—ื‘ืจืช ื ืžืœ ืื™ืœืช ื‘ืข\"ืž (ืœื”ืœืŸ - ื”ื—ื‘ืจื”) ื”ื•ืงืžื” ื‘ื™ื•ืœื™ 2004 . (...TRUNCATED)
" 1373 . ื—ื‘ืจืช ื ืžืœ ืื™ืœืช ื‘ืข\"ืž . .ืคืขื•ืœื•ืช ื”ื‘ื™ืงื•ืจืช .ื‘ื—ื‘ืจืช \"ื ืžืœ ืื™(...TRUNCATED)
ื—ื‘ืจืช ื ืžืœ ืื™ืœืช ื‘ืข_ืž/ืื™ืจื•ื— ืžื•ืคืขื™ ืชืจื‘ื•ืช ื‘ืฉื˜ื— ื ืžืœ ืื™ืœืช
" โ™ฆ . .ืžื‘ื•ื .1. ื”ืฆื™ื‘ื•ืจ ื‘ื™ืฉืจืืœ ืฆื•ืจืš ื‘ื›ืœ ืฉื ื” ืžื–ื•ืŸ ืจื‘ ืžืŸ ื”ื—ื™ - (...TRUNCATED)
" 787 .ืžืฉืจื“ ื”ื—ืงืœืื•ืช ื•ืคื™ืชื•ื— ื”ื›ืคืจ . .ืคืขื•ืœื•ืช ื”ื‘ื™ืงื•ืจืช .ื”ืคื™ืงื•ื— ืข(...TRUNCATED)
ืžืฉืจื“ ื”ื—ืงืœืื•ืช ื•ืคื™ืชื•ื— ื”ื›ืคืจ/ื”ืคื™ืงื•ื— ืขืœ ืžื–ื•ืŸ ืœื‘ืขืœื™ ื—ื™ื™ื
" โ™ฆ . .ืžื‘ื•ื .ื”ืชื—ื‘ื•ืจื” ื”ืฆื™ื‘ื•ืจื™ืช ื‘ืื•ื˜ื•ื‘ื•ืกื™ื (ืœื”ืœืŸ - ืชื—\"ืฆ) ื”ื™ื(...TRUNCATED)
" 1067 .ืžืฉืจื“ ื”ืชื—ื‘ื•ืจื” ื•ื”ื‘ื˜ื™ื—ื•ืช ื‘ื“ืจื›ื™ื . .ืคืขื•ืœื•ืช ื”ื‘ื™ืงื•ืจืช .ื‘ืžืฉ(...TRUNCATED)
ืžืฉืจื“ ื”ืชื—ื‘ื•ืจื” ื•ื”ื‘ื˜ื™ื—ื•ืช ื‘ื“ืจื›ื™ื/ื”ืฉื™ืจื•ืช ืœื ื•ืกืข ื‘ืื•ื˜ื•ื‘ื•ืก
End of preview. Expand in Data Studio

MevakerSumm

Abstractive summarization dataset for long documents.

Citing

If you use MevakerSumm in your research, please cite Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language.

@article{shalumov2024mevaker,
      title={Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language}, 
      author={Vitaly Shalumov and Harel Haskey and Yuval Solaz},
      year={2024},
      eprint={2403.09719},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
Downloads last month
24

Paper for HeTree/MevakerSumm