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aa79b9c 9e4e0d2 aa79b9c 9e4e0d2 aa79b9c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | #!/usr/bin/env python3
# Copyright 2026 Xiaomi Corp. (authors: Han Zhu)
#
# 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.
"""Data utilities for batch inference and evaluation.
Provides ``read_test_list()`` to parse JSONL test list files used by
``omnivoice.cli.infer_batch`` and evaluation scripts.
"""
import json
import logging
from pathlib import Path
def read_test_list(path):
"""Read a JSONL test list file.
Each line should be a JSON object. Only ``id`` and ``text`` are required;
all other fields are optional (default to ``None``):
id, text, ref_audio, ref_text, instruct,
language_id, language_name, duration, speed
Returns a list of dicts.
"""
path = Path(path)
samples = []
with path.open("r", encoding="utf-8") as f:
for line_no, line in enumerate(f, 1):
line = line.strip()
if not line:
continue
try:
obj = json.loads(line)
except json.JSONDecodeError:
logging.warning(f"Skipping malformed JSON at line {line_no}: {line}")
continue
sample = {
"id": obj.get("id"),
"text": obj.get("text"),
"ref_audio": obj.get("ref_audio"),
"ref_text": obj.get("ref_text"),
"language_id": obj.get("language_id"),
"language_name": obj.get("language_name"),
"duration": obj.get("duration"),
"speed": obj.get("speed"),
"instruct": obj.get("instruct"),
}
samples.append(sample)
return samples
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