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60 lines
1.9 KiB
Python
60 lines
1.9 KiB
Python
# Copyright 2023 Xiaomi Corp. (authors: Zengrui Jin)
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#
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# See ../../../../LICENSE for clarification regarding multiple authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import glob
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import logging
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import re
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from pathlib import Path
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from typing import Dict, List
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import lhotse
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from lhotse import CutSet, load_manifest_lazy
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class MultiDataset:
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def __init__(self, fbank_dir: str, start_index: int = 0, end_index: int = 26):
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"""
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Args:
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manifest_dir:
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It is expected to contain the following files:
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- speechio_cuts_SPEECHIO_ASR_ZH00000.jsonl.gz
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...
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- speechio_cuts_SPEECHIO_ASR_ZH00026.jsonl.gz
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"""
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self.fbank_dir = Path(fbank_dir)
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self.start_index = start_index
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self.end_index = end_index
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def test_cuts(self) -> Dict[str, CutSet]:
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logging.info("About to get multidataset test cuts")
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dataset_parts = []
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for i in range(self.start_index, self.end_index + 1):
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idx = f"{i}".zfill(2)
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dataset_parts.append(f"SPEECHIO_ASR_ZH000{idx}")
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prefix = "speechio"
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suffix = "jsonl.gz"
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results_dict = {}
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for partition in dataset_parts:
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path = f"{prefix}_cuts_{partition}.{suffix}"
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logging.info(f"Loading {path} set in lazy mode")
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test_cuts = load_manifest_lazy(self.fbank_dir / path)
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results_dict[partition] = test_cuts
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return results_dict
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