Datasets:
medhi-corneille
commited on
Suppression des *WAV
Browse filesMerge branch 'main' of https://huggingface.co/datasets/Akabi/Luxemburgish_Press_Conferences_Gov
- audio_with_transcriptions/test_differences.json +0 -0
- audio_with_transcriptions/wer_and_cer.json +0 -243
- dataset_dict.py +29 -0
- metadata.jsonl +0 -0
- transcriptions_1689948997.csv +0 -33
audio_with_transcriptions/test_differences.json
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audio_with_transcriptions/wer_and_cer.json
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[
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{
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"actual_transcription": "Voilà. Iech Alleguerten e schéinen, gudde Mëtteg.",
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"enhqnced_trqnscription": "alleguerten schéinn gudde mëtteg ech"
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},
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{
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"actual_transcription": "Ech si frou Iech haut kënnen, zesummen",
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"enhqnced_trqnscription": "si iech haut kënnen zesummen"
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},
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{
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"actual_transcription": "mam Joëlle Welfring, e wichtege Projet fir eis",
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"enhqnced_trqnscription": "mam joel welfering wichtege projet fir eis"
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},
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{
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"actual_transcription": "eis Regierung, och wann et am Fong éischter eng intern Aarbecht ass,",
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"enhqnced_trqnscription": "eis regierung och wann et am fong éischter eng intern aarbecht ass"
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},
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{
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"actual_transcription": "déi och laang gebraucht huet, ass et awer wichteg fir och méi transparent kënnen ze schaffen.",
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"enhqnced_trqnscription": "déi och laang gebraucht huet ass et awer wichteg fir och méi transparent e kënnen ze schaffen"
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},
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{
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"actual_transcription": "Ech hat et schonn an der Ried zur Lag vun der Natioun annoncéier, dass mer och als Regierung",
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"enhqnced_trqnscription": "ech hat et schonn an der ried zu laf vun der natioun e annoncéiert edass mer och als regierung"
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},
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{
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"actual_transcription": "",
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"enhqnced_trqnscription": ""
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},
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{
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"actual_transcription": "",
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"enhqnced_trqnscription": ""
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},
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{
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"actual_transcription": "",
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"enhqnced_trqnscription": ""
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},
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{
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"actual_transcription": "",
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"enhqnced_trqnscription": ""
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},
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{
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"actual_transcription": "",
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"enhqnced_trqnscription": ""
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{
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"actual_transcription": "",
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"enhqnced_trqnscription": ""
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},
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{
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"actual_transcription": "",
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"enhqnced_trqnscription": ""
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{
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"actual_transcription": "",
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"enhqnced_trqnscription": ""
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},
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{
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"actual_transcription": "",
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"enhqnced_trqnscription": ""
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},
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{
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"actual_transcription": "",
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"enhqnced_trqnscription": ""
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{
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"actual_transcription": "",
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"enhqnced_trqnscription": ""
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"actual_transcription": "",
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"enhqnced_trqnscription": ""
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{
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"actual_transcription": "",
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"enhqnced_trqnscription": ""
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{
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"actual_transcription": "",
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"enhqnced_trqnscription": ""
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{
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"actual_transcription": "",
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"enhqnced_trqnscription": ""
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{
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"actual_transcription": "",
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"enhqnced_trqnscription": ""
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"actual_transcription": "",
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"actual_transcription": "",
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"actual_transcription": "",
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"actual_transcription": "",
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"actual_transcription": "",
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"actual_transcription": "",
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"enhqnced_trqnscription": ""
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"actual_transcription": "",
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"actual_transcription": "",
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]
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dataset_dict.py
ADDED
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import datasets
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class LuxembourgPressConferencesGov(datasets.GeneratorBasedBuilder):
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def _info(self):
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return datasets.DatasetInfo(
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features=datasets.Features(
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{
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"file_name": datasets.Audio(sampling_rate=16000),
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"transcription": datasets.Value("string"),
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}
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),
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)
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def _split_generators(self, dl_manager):
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={"filepath": "metadata.jsonl"},
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),
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]
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def _generate_examples(self, filepath):
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with open(filepath, "r", encoding="utf-8") as f:
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for idx, line in enumerate(f):
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data = json.loads(line)
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yield idx, {
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"file_name": data["file_name"],
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"transcription": data["transcription"],
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}
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metadata.jsonl
CHANGED
The diff for this file is too large to render.
See raw diff
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transcriptions_1689948997.csv
DELETED
@@ -1,33 +0,0 @@
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chunk_name,transcription
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chunk_name,transcription
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chunk_name,transcription
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chunk_name,transcription
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chunk_name,transcription
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chunk_name,transcription
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chunk_name,transcription
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chunk_name,transcription
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chunk_name,transcription
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chunk_name,transcription
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chunk_name,transcription
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