File size: 2,763 Bytes
a310f45 79f877d a310f45 35507ca a310f45 |
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 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 |
import csv
import json
import os
import datasets
_ANNOT_URL = {
"train": "https://huggingface.co/datasets/ujs/hinglish/blob/main/data/metadata.csv",
"test": "https://huggingface.co/datasets/ujs/hinglish/blob/main/data/metadata-test.csv"
}
_DATA_URL = [
"https://huggingface.co/datasets/ujs/hinglish/blob/main/data/train.tar.gz",
"https://huggingface.co/datasets/ujs/hinglish/blob/main/data/test.tar.gz"
]
_DESCRIPTION = """\
A Hugginface version of the Hindi-English code-switched dataset from OpenSLR-104.
"""
class HinglishDataset(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.0.0")
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features({
"path": datasets.Value("string"),
"audio": datasets.Audio(sampling_rate=16_000),
"sentence": datasets.Value("string"),
}),
supervised_keys=("audio", "sentence"),
)
def _split_generators(self, dl_manager):
prompts_paths = dl_manager.download(_ANNOT_URL)
archive = dl_manager.download(_DATA_URL)
train_dir = "hinglish/data/train"
test_dir = "hinglish/data/test"
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"prompts_path": prompts_paths["train"],
"path_to_clips": train_dir,
"audio_files": dl_manager.iter_archive(archive),
},
),
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={
"prompts_path": prompts_paths["test"],
"path_to_clips": test_dir,
"audio_files": dl_manager.iter_archive(archive),
},
),
]
def _generate_examples(self, promts_path, path_to_clips, audio_files):
examples = {}
with open(promts_path, encoding="utf-8") as f:
for row in f:
data = row.strip().split(",", 1)
audio_path = "/".join([path_to_clips, data[0]])
examples[audio_path] = {
"path": audio_path,
"sentence": data[1]
}
inside_clips_dir = False
id_ = 0
for path, f in audio_files:
if path.startswith(path_to_clips):
inside_clips_dir = True
if path in examples:
audio = {"path": path, "bytes": f.read()}
yield id_, {**examples[path], "audio": audio}
id += 1
elif inside_clips_dir:
break
|