def make_binary_sent_doc_dataset(input_prefix, output_prefix, lang,
num_workers, output_lang,
output_text_file):
n_seq_tok = [0, 0]
replaced = Counter()
def merge_result(worker_result):
replaced.update(worker_result["replaced"])
n_seq_tok[0] += worker_result["nseq"]
n_seq_tok[1] += worker_result["ntok"]
input_file = "{}{}".format(input_prefix,
("." + lang) if lang is not None else "")
ds = []
merge_result(
Binarizer.binarize_sent_doc(input_file, lambda t: ds.append(t)))
import json
with open(output_text_file, 'w') as f:
for line in ds:
f.write(json.dumps(line.numpy().tolist()) + '\n')
print("| [{}] {}: {} sents, {} tokens".format(
output_lang,
input_file,
n_seq_tok[0],
n_seq_tok[1],
))
def make_binary_sent_doc_dataset(input_prefix, output_prefix, lang,
num_workers):
n_seq_tok = [0, 0]
replaced = Counter()
def merge_result(worker_result):
replaced.update(worker_result["replaced"])
n_seq_tok[0] += worker_result["nseq"]
n_seq_tok[1] += worker_result["ntok"]
input_file = "{}{}".format(input_prefix,
("." + lang) if lang is not None else "")
offsets = Binarizer.find_offsets(input_file, num_workers)
pool = None
if num_workers > 1:
pool = Pool(processes=num_workers - 1)
for worker_id in range(1, num_workers):
prefix = "{}{}".format(output_prefix, worker_id)
pool.apply_async(binarize_sent_doc,
(args, input_file, prefix, lang,
offsets[worker_id], offsets[worker_id + 1]),
callback=merge_result)
pool.close()
ds = indexed_dataset.make_builder(dataset_dest_file(
args, output_prefix, lang, "bin"),
impl=args.dataset_impl)
merge_result(
Binarizer.binarize_sent_doc(input_file,
lambda t: ds.add_item(t),
offset=0,
end=offsets[1]))
if num_workers > 1:
pool.join()
for worker_id in range(1, num_workers):
prefix = "{}{}".format(output_prefix, worker_id)
temp_file_path = dataset_dest_prefix(args, prefix, lang)
ds.merge_file_(temp_file_path)
os.remove(indexed_dataset.data_file_path(temp_file_path))
os.remove(indexed_dataset.index_file_path(temp_file_path))
ds.finalize(dataset_dest_file(args, output_prefix, lang, "idx"))
print("| [{}] {}: {} sents, {} tokens".format(
lang,
input_file,
n_seq_tok[0],
n_seq_tok[1],
))
def binarize_sent_doc(args,
filename,
output_prefix,
lang,
offset,
end,
append_eos=True):
ds = indexed_dataset.make_builder(dataset_dest_file(
args, output_prefix, lang, "bin"),
impl=args.dataset_impl)
def consumer(tensor):
ds.add_item(tensor)
res = Binarizer.binarize_sent_doc(filename,
consumer,
append_eos=append_eos,
offset=offset,
end=end)
ds.finalize(dataset_dest_file(args, output_prefix, lang, "idx"))
return res