Research Article
Leveraging Pretrained Language Models for Enhanced Entity Matching: A Comprehensive Study of Fine-Tuning and Prompt Learning Paradigms
Table 1
Overview of the eleven EM datasets.
| | Type | Name | Domain | Size | Positive instances | Attributes |
| | Structured | BeerAdvo-RateBeer | Beer | 450 | 68 | 4 | | iTunes-Amazon1 | Music | 539 | 132 | 8 | | DBLP-ACM1 | Citation | 12,363 | 2,220 | 4 | | DBLP-Scholar1 | Citation | 28,707 | 5,347 | 4 | | Amazon-Google | Software | 11,460 | 1,167 | 3 | | Walmart-Amazon1 | Electronics | 10,242 | 962 | 5 | | Abt-Buy | Product | 9,575 | 1,028 | 3 |
| | Dirty | iTunes-Amazon2 | Music | 539 | 132 | 8 | | DBLP-ACM2 | Citation | 12,363 | 2,220 | 4 | | DBLP-Scholar2 | Citation | 28,707 | 5,347 | 4 | | Walmart-Amazon2 | Electronics | 10,242 | 962 | 5 |
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