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Meta's answer to textbook authors admits torrenting LibGen and Anna's Archive data, and that some data was uploaded
In its answer to the textbook authors' class complaint, Meta admits it downloaded parts of datasets by direct download and by torrenting, and that the data included material from Books3, LibGen, Z-Library and Sci-Hub, portions of which were used to train some Llama models. It admits torrenting data from Anna's Archive, including Z-Library and LibGen portions, and that some data was uploaded while it torrented. Meta says LibGen data downloaded around October 2022 was not used to train Llama 1, but admits LibGen data it downloaded in 2023 was used to develop and train certain later Llama models. It also admits some models were trained on data included in Books3, that its training data included textbook data in some circumstances, and that it did not license the works the plaintiffs assert. Meta denies the remaining allegations and pleads twelve affirmative defenses, starting with fair use.
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