letor-part-2-docs-embeddings.py

docs_sequences = []
for docs_list in [bing_search_results, google_search_results]:
    docs_sequences.append(tokeniser.texts_to_sequences(docs_list))

docs_embeddings = []
for docs_set in docs_sequences:
    this_docs_set = []
    for doc in docs_set:
        this_doc_embeddings = np.array([embeddings[idx] for idx in doc])
        this_docs_set.append(this_doc_embeddings)
    docs_embeddings.append(this_docs_set)