2022-11-17 09:42:17 -05:00

93 lines
3.3 KiB
Python

# Copyright 2021 Piotr Żelasko
# 2022 Xiaomi Corp. (authors: Fangjun Kuang)
#
# See ../../../../LICENSE for clarification regarding multiple authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import glob
import logging
import re
from pathlib import Path
import lhotse
from lhotse import CutSet, load_manifest_lazy
class GigaSpeech:
def __init__(self, manifest_dir: str):
"""
Args:
manifest_dir:
It is expected to contain the following files::
- gigaspeech_XL_split_2000/gigaspeech_cuts_XL.*.jsonl.gz
- gigaspeech_cuts_L_raw.jsonl.gz
- gigaspeech_cuts_M_raw.jsonl.gz
- gigaspeech_cuts_S_raw.jsonl.gz
- gigaspeech_cuts_XS_raw.jsonl.gz
- gigaspeech_cuts_DEV_raw.jsonl.gz
- gigaspeech_cuts_TEST_raw.jsonl.gz
"""
self.manifest_dir = Path(manifest_dir)
def train_XL_cuts(self) -> CutSet:
logging.info("About to get train-XL cuts")
filenames = list(
glob.glob(
f"{self.manifest_dir}/gigaspeech_XL_split_2000/gigaspeech_cuts_XL.*.jsonl.gz" # noqa
)
)
pattern = re.compile(r"gigaspeech_cuts_XL.([0-9]+).jsonl.gz")
idx_filenames = [(int(pattern.search(f).group(1)), f) for f in filenames]
idx_filenames = sorted(idx_filenames, key=lambda x: x[0])
sorted_filenames = [f[1] for f in idx_filenames]
logging.info(f"Loading {len(sorted_filenames)} splits")
return lhotse.combine(lhotse.load_manifest_lazy(p) for p in sorted_filenames)
def train_L_cuts(self) -> CutSet:
f = self.manifest_dir / "gigaspeech_cuts_L_raw.jsonl.gz"
logging.info(f"About to get train-L cuts from {f}")
return CutSet.from_jsonl_lazy(f)
def train_M_cuts(self) -> CutSet:
f = self.manifest_dir / "gigaspeech_cuts_M_raw.jsonl.gz"
logging.info(f"About to get train-M cuts from {f}")
return CutSet.from_jsonl_lazy(f)
def train_S_cuts(self) -> CutSet:
f = self.manifest_dir / "gigaspeech_cuts_S_raw.jsonl.gz"
logging.info(f"About to get train-S cuts from {f}")
return CutSet.from_jsonl_lazy(f)
def train_XS_cuts(self) -> CutSet:
f = self.manifest_dir / "gigaspeech_cuts_XS_raw.jsonl.gz"
logging.info(f"About to get train-XS cuts from {f}")
return CutSet.from_jsonl_lazy(f)
def test_cuts(self) -> CutSet:
f = self.manifest_dir / "gigaspeech_cuts_TEST.jsonl.gz"
logging.info(f"About to get TEST cuts from {f}")
return load_manifest_lazy(f)
def dev_cuts(self) -> CutSet:
f = self.manifest_dir / "gigaspeech_cuts_DEV.jsonl.gz"
logging.info(f"About to get DEV cuts from {f}")
return load_manifest_lazy(f)