Commit
·
f8cb801
1
Parent(s):
9380af7
initial commit
Browse files- README.md +146 -0
- l1/test/test.zip +3 -0
- l1/train/train.zip +3 -0
- l2/test/test.zip +3 -0
- l2/train/train.zip +3 -0
- test.tsv +4 -0
- test2.py +122 -0
- train.tsv +4 -0
README.md
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---
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annotations_creators:
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- expert-generated
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language:
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- pl
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license:
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- mit
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multilinguality:
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- monolingual
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dataset_info:
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- config_name: config
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features:
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- name: audio_id
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dtype: string
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- name: audio
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dtype:
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audio:
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sampling_rate: 16000
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- name: text
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dtype: string
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---
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# Dataset Card for [Dataset Name]
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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+
- [Languages](#languages)
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+
- [Dataset Structure](#dataset-structure)
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+
- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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+
- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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+
- [Annotations](#annotations)
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+
- [Personal and Sensitive Information](#personal-and-sensitive-information)
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42 |
+
- [Considerations for Using the Data](#considerations-for-using-the-data)
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43 |
+
- [Social Impact of Dataset](#social-impact-of-dataset)
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44 |
+
- [Discussion of Biases](#discussion-of-biases)
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45 |
+
- [Other Known Limitations](#other-known-limitations)
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46 |
+
- [Additional Information](#additional-information)
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47 |
+
- [Dataset Curators](#dataset-curators)
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48 |
+
- [Licensing Information](#licensing-information)
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+
- [Citation Information](#citation-information)
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+
- [Contributions](#contributions)
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+
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## Dataset Description
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+
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- **Homepage:**
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:**
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### Dataset Summary
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+
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[More Information Needed]
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+
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### Supported Tasks and Leaderboards
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[More Information Needed]
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+
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### Languages
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[More Information Needed]
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+
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## Dataset Structure
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+
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### Data Instances
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+
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[More Information Needed]
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+
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### Data Fields
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[More Information Needed]
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### Data Splits
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[More Information Needed]
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## Dataset Creation
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+
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88 |
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### Curation Rationale
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89 |
+
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[More Information Needed]
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91 |
+
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92 |
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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107 |
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108 |
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#### Who are the annotators?
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109 |
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[More Information Needed]
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111 |
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112 |
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### Personal and Sensitive Information
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113 |
+
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114 |
+
[More Information Needed]
|
115 |
+
|
116 |
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## Considerations for Using the Data
|
117 |
+
|
118 |
+
### Social Impact of Dataset
|
119 |
+
|
120 |
+
[More Information Needed]
|
121 |
+
|
122 |
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### Discussion of Biases
|
123 |
+
|
124 |
+
[More Information Needed]
|
125 |
+
|
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### Other Known Limitations
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127 |
+
|
128 |
+
[More Information Needed]
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129 |
+
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## Additional Information
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+
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### Dataset Curators
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133 |
+
|
134 |
+
[More Information Needed]
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135 |
+
|
136 |
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### Licensing Information
|
137 |
+
|
138 |
+
[More Information Needed]
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139 |
+
|
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+
### Citation Information
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141 |
+
|
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+
[More Information Needed]
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+
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### Contributions
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+
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+
Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
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l1/test/test.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:9c2f80675f1ddc98cc06bbb1b2eb5df896779b78daf921bb9ee193dc8db1ffb0
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size 48701
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l1/train/train.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:5db01bf7e7b91e3a1ce5adbbc03488f744c68efe5c92b4c18585224e13614ffd
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size 48709
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l2/test/test.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:9c2f80675f1ddc98cc06bbb1b2eb5df896779b78daf921bb9ee193dc8db1ffb0
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size 48701
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l2/train/train.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:5db01bf7e7b91e3a1ce5adbbc03488f744c68efe5c92b4c18585224e13614ffd
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size 48709
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test.tsv
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audio_id ngram
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common_voice_pl_20547774.wav poślemytest
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common_voice_pl_20547775.wav poślemy potest
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common_voice_pl_20547775.wav poślemy po wastest
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test2.py
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# coding=utf-8
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# Lint as: python3
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"""test set"""
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import csv
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import os
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import json
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import datasets
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from datasets.utils.py_utils import size_str
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from tqdm import tqdm
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_CITATION = """\
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@inproceedings{panayotov2015librispeech,
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title={Librispeech: an ASR corpus based on public domain audio books},
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author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},
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booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},
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pages={5206--5210},
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year={2015},
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organization={IEEE}
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}
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"""
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_DESCRIPTION = """\
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Lorem ipsum
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"""
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+
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+
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_BASE_URL = "https://huggingface.co/datasets/j-krzywdziak/test/tree/main"
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_DATA_URL = "https://huggingface.co/datasets/j-krzywdziak/test/blob/main/dev.tar.gz"
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_PROMPTS_URLS = "https://huggingface.co/datasets/j-krzywdziak/test/blob/main/dev.tsv"
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+
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logger = datasets.logging.get_logger(__name__)
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class TestConfig(datasets.BuilderConfig):
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"""Lorem impsum."""
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def __init__(self, name, version, **kwargs):
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# self.language = kwargs.pop("language", None)
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# self.release_date = kwargs.pop("release_date", None)
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# self.num_clips = kwargs.pop("num_clips", None)
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# self.num_speakers = kwargs.pop("num_speakers", None)
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# self.validated_hr = kwargs.pop("validated_hr", None)
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# self.total_hr = kwargs.pop("total_hr", None)
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# self.size_bytes = kwargs.pop("size_bytes", None)
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# self.size_human = size_str(self.size_bytes)
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description = (
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f"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor "
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f"incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud "
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f"exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure "
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f"dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. "
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f"Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt "
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f"mollit anim id est laborum."
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)
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super(TestConfig, self).__init__(
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name=name,
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version=datasets.Version(version),
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description=description,
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**kwargs,
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)
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class TestASR(datasets.GeneratorBasedBuilder):
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"""Lorem ipsum."""
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DEFAULT_CONFIG_NAME = "all"
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BUILDER_CONFIGS = [
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TestConfig(
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name="Test Dataset",
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version="0.0.0",
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)
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]
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"audio_id": datasets.Value("string"),
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"audio": datasets.Audio(sampling_rate=16_000),
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"ngram": datasets.Value("string")
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}
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),
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supervised_keys=None,
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homepage=_BASE_URL,
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citation=_CITATION
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)
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def _split_generators(self, dl_manager):
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archive_path = dl_manager.download(_DATA_URL)
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# (Optional) In non-streaming mode, we can extract the archive locally to have actual local audio files:
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local_extracted_archive = dl_manager.extract(archive_path) if not dl_manager.is_streaming else {}
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meta_path = dl_manager.download_and_extract(_PROMPTS_URLS)
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return [datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"meta_path": meta_path,
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"audio_files": dl_manager.iter_archive(local_extracted_archive)
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}
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)]
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+
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def _generate_examples(self, meta_path, audio_files):
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"""Lorem ipsum."""
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metadata = {}
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with open(meta_path, encoding="utf-8") as f:
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for row in f:
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r = row.split(r"\t")
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audio_id = r[0]
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ngram = r[1]
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metadata[audio_id] = {"audio_id": audio_id,
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"ngram": ngram}
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+
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inside_clips_dir = True
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id_ = 0
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+
for path, f in audio_files:
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_, audio_name = os.path.split(path)
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+
if audio_name in metadata:
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audio = {"bytes": f.read()}
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+
yield id_, {**metadata[audio_id], "audio": audio}
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+
id_ +=1
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train.tsv
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audio_id ngram
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common_voice_pl_20547774.wav poślemytrain
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common_voice_pl_20547775.wav poślemy potrain
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common_voice_pl_20547775.wav poślemy po wastrain
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