INDRA assembly Benchmark Corpus

This data set accompanies the manuscript "Automated assembly of molecular mechanisms at scale from text mining and curated databases" which describes assembly methodology implemented in the INDRA system (https://github.com/sorgerlab/indra). The manuscript uses an example assembly pipeline on ~570k publications as input to create the INDRA Benchmark Corpus. This dataset provides INDRA Statements constituting the INDRA Benchmark Corpus as well as a set of curations on the corpus: - indra_benchmark_corpus.pkl: A Python pickle file of INDRA Statement objects. It requires INDRA to be installed to load in a Python environment. - indra_benchmark_corpus.json.gz: A gzipped JSON export of INDRA Statements. - indra_benchmark_corpus_curations.pkl: Aggregated curations on the Benchmark Corpus as a Python pickle file. The content is a list, where each element of the list is a dictionary providing a stmt_hash corresponding to the hash of a Statement in the Benchmark Corpus, and giving a correct flag (0 for overall incorrect, 1 for overall correct) to represent the overall result of curation, along with some other metadata. - indra_benchmark_corpus_curations.json: Aggregated curations on the Benchmark Corpus as a JSON file.