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Results of applying the end-to-end pipeline on PubMed abstracts.
| Number | % of total | ||
|---|---|---|---|
| Abstracts | Total processed | 32,000,000 | 100 |
| Relevant according to LitSuggest | 680,426 | 2.13 | |
| Containing predicted binary chemical- chemical relations (any type) | 64,077 | 0.20 | |
| Binary chemical- chemical relations | All relation types | 176,084 | 100 |
| Conversion | 158,837 | 90.21 | |
| Indirect_conversion | 16,889 | 9.59 | |
| Non_conversion | 358 | 0.20 |
