Possibly dumb question: How do you ensure there's no data leakage when benchmarking transfer learning techniques? Is that even a problem anymore when the whole point is to learn "common sense" knowledge?
For example their “Colossal Clean Crawled Corpus” (C4), a dataset consisting of hundreds of gigabytes of clean English text scraped from the web, might contain much of the same information as the benchmark datasets, which I presume is also scraped from the web.
For example their “Colossal Clean Crawled Corpus” (C4), a dataset consisting of hundreds of gigabytes of clean English text scraped from the web, might contain much of the same information as the benchmark datasets, which I presume is also scraped from the web.