Adding files to the repo for the first time

corpus/files/metadata_dev.tsv

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+audio_id	language	normalized_text	absolute_path
+common_voice_ca_34546728	Catalan	un nen petit escolta un telèfon mòbil	corpus/speech/dev/common_voice_ca_34546728.mp3
+common_voice_ca_31490843	Catalan	dues dones parlen per telèfon mòbil mentre seuen a unes escales de pedra	corpus/speech/dev/common_voice_ca_31490843.mp3
+common_voice_ca_30835494	Catalan	enviem aquí la notificació digital	corpus/speech/dev/common_voice_ca_30835494.mp3
+common_voice_ca_17664763	Catalan	tributs cedits per l'estat respecte dels quals aquest comparteix competències inspectores amb la generalitat	corpus/speech/dev/common_voice_ca_17664763.mp3
+common_voice_ca_17567381	Catalan	la longitud del tronc de l'actuació és de sis mil sis-cents seixanta-huit coma huit-cents setanta-huit metres	corpus/speech/dev/common_voice_ca_17567381.mp3
+common_voice_ca_28791266	Catalan	escalar l'everest era l'ambició de la seva vida	corpus/speech/dev/common_voice_ca_28791266.mp3
+common_voice_ca_17463398	Catalan	tots els homes són iguals	corpus/speech/dev/common_voice_ca_17463398.mp3
+common_voice_ca_31062549	Catalan	he estat de nou amb el teu amic bart	corpus/speech/dev/common_voice_ca_31062549.mp3
+common_voice_ca_32094808	Catalan	el vint-i-nou de febrer en roger anirà al metge	corpus/speech/dev/common_voice_ca_32094808.mp3
+common_voice_ca_17468207	Catalan	on són els altres	corpus/speech/dev/common_voice_ca_17468207.mp3

corpus/files/metadata_test.tsv

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+audio_id	language	normalized_text	absolute_path
+common_voice_ca_17517643	Catalan	ho he vist	corpus/speech/test/common_voice_ca_17517643.mp3
+common_voice_ca_26260354	Catalan	sota aquest segell van publicar un llibre dels itineraris de rhode island	corpus/speech/test/common_voice_ca_26260354.mp3
+common_voice_ca_37597161	Catalan	actualment només queda el de l'escola	corpus/speech/test/common_voice_ca_37597161.mp3
+common_voice_ca_31310653	Catalan	déu va crear aleshores una dona coneguda com sela perquè fos la seva dona	corpus/speech/test/common_voice_ca_31310653.mp3
+common_voice_ca_31118063	Catalan	l'emir va arribar fins a pamplona i la va destruir totalment	corpus/speech/test/common_voice_ca_31118063.mp3
+common_voice_ca_19026173	Catalan	cada dia que passa quimet està més satisfet del seu ordinador i de la seua impressora de color	corpus/speech/test/common_voice_ca_19026173.mp3
+common_voice_ca_17468208	Catalan	softcatalà recomana executar primer el catalanitzador a l'equip i posteriorment instal·lar-hi el libreoffice	corpus/speech/test/common_voice_ca_17468208.mp3
+common_voice_ca_37590278	Catalan	la modalitat de justificació la determina l'import de la subvenció atorgada	corpus/speech/test/common_voice_ca_37590278.mp3
+common_voice_ca_30771720	Catalan	el dia del judici	corpus/speech/test/common_voice_ca_30771720.mp3
+common_voice_ca_30886886	Catalan	tota l'estona hem anat amb els esquís posats	corpus/speech/test/common_voice_ca_30886886.mp3

corpus/files/metadata_train.tsv

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+audio_id	language	normalized_text	absolute_path
+common_voice_ca_32391864	Catalan	per cap d'any na neida i na bet volen anar al cinema	corpus/speech/train/common_voice_ca_32391864.mp3
+common_voice_ca_17459145	Catalan	després va explicar per què era allí	corpus/speech/train/common_voice_ca_17459145.mp3
+common_voice_ca_17376998	Catalan	difon entre els auditors els criteris aplicables a l'hora de fer les inspeccions i controls de les entitats	corpus/speech/train/common_voice_ca_17376998.mp3
+common_voice_ca_17492886	Catalan	gràcies per venir	corpus/speech/train/common_voice_ca_17492886.mp3
+common_voice_ca_20754772	Catalan	molts fans consideren que l'estil propi de la banda definitivament es forja en aquest disc	corpus/speech/train/common_voice_ca_20754772.mp3
+common_voice_ca_19035756	Catalan	fes bé que no ho perdràs	corpus/speech/train/common_voice_ca_19035756.mp3
+common_voice_ca_33660753	Catalan	gens brillant sobretot pel rei mort	corpus/speech/train/common_voice_ca_33660753.mp3
+common_voice_ca_19433813	Catalan	la distribució és oberta amb un porxo perimetral exterior	corpus/speech/train/common_voice_ca_19433813.mp3
+common_voice_ca_31397205	Catalan	àrees organitzades d'activitat de tempestes reforcen zones frontals preexistents i poden ultrapassar fronts freds	corpus/speech/train/common_voice_ca_31397205.mp3
+common_voice_ca_35110415	Catalan	envoltant el talaiot trobem un mur de construcció moderna que oculta parcialment el talaiot originari	corpus/speech/train/common_voice_ca_35110415.mp3
+common_voice_ca_17513482	Catalan	els amics te'ls tries els parents te'ls tragues	corpus/speech/train/common_voice_ca_17513482.mp3
+common_voice_ca_20187488	Catalan	només l'educació primària és gratuïta a atakora	corpus/speech/train/common_voice_ca_20187488.mp3
+common_voice_ca_31834990	Catalan	dissabte na dolça i en marc aniran a la biblioteca	corpus/speech/train/common_voice_ca_31834990.mp3
+common_voice_ca_17641708	Catalan	el discurs econòmic de les principals formacions polítiques és dèbil poc estructurat i excessivament superficial	corpus/speech/train/common_voice_ca_17641708.mp3
+common_voice_ca_19039808	Catalan	s'hi farà un tast del nou firefox tres i qui s'acosti podrà gaudir també d'obsequis commemoratius	corpus/speech/train/common_voice_ca_19039808.mp3
+common_voice_ca_30886885	Catalan	la malaltia li ha descarnat les galtes	corpus/speech/train/common_voice_ca_30886885.mp3
+common_voice_ca_17475567	Catalan	una vegada teníem clar què volíem tocava estructurar-ho	corpus/speech/train/common_voice_ca_17475567.mp3
+common_voice_ca_31500541	Catalan	prades o almenys el seu castell té un origen islàmic	corpus/speech/train/common_voice_ca_31500541.mp3
+common_voice_ca_19895047	Catalan	no obstant això és considerat el campionat nacional paraguaià	corpus/speech/train/common_voice_ca_19895047.mp3
+common_voice_ca_17475568	Catalan	mar bonança mar de dones	corpus/speech/train/common_voice_ca_17475568.mp3

corpus/files/tars_dev.paths

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+corpus/speech/dev.tar.gz

corpus/files/tars_test.paths

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+corpus/speech/test.tar.gz

corpus/files/tars_train.paths

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+corpus/speech/train.tar.gz

corpus/speech/dev.tar.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8398f98973c16227fbb5acc38fc7310373f04b18615dd4f484fa4896a1f285b3
+size 360068

corpus/speech/test.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5e06a91f4cba8244cda64223417853ca49a42ab85172f83d5ba05afc47e80779
+size 379065

corpus/speech/train.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:88efe852cadb3dda8117ce8ce61eb0d0ba8e6627849ee8ad87de6f3f2783b057
+size 847346

toy_corpus_asr_ca.py

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+from collections import defaultdict
+import os
+import json
+import csv
+
+import datasets
+
+_NAME="loading_script"
+_VERSION="1.0.0"
+
+_DESCRIPTION = """
+This is a script to load a dataset in a Hugging Face object.
+"""
+
+_CITATION = """
+@misc{menaloadingscript2023,
+      title={Loading Script.}, 
+      author={Hernandez Mena, Carlos Daniel},
+      year={2023},
+      url={https://huggingface.co/carlosdanielhernandezmena},
+}
+"""
+
+_HOMEPAGE = "https://huggingface.co/carlosdanielhernandezmena"
+
+_LICENSE = "CC-BY-4.0, See https://creativecommons.org/licenses/by/4.0/"
+
+_BASE_DATA_DIR = "data/"
+_METADATA_TRAIN = _BASE_DATA_DIR + "train.tsv"
+_METADATA_TEST = _BASE_DATA_DIR + "test.tsv"
+_METADATA_DEV = _BASE_DATA_DIR + "dev.tsv"
+
+class DummyCorpusAsrEsConfig(datasets.BuilderConfig):
+    """BuilderConfig for Loading Script."""
+
+    def __init__(self, name, **kwargs):
+        name=_NAME
+        super().__init__(name=name, **kwargs)
+
+class DummyCorpusAsrEs(datasets.GeneratorBasedBuilder):
+    """Loading Script."""
+
+    VERSION = datasets.Version(_VERSION)
+    BUILDER_CONFIGS = [
+        DummyCorpusAsrEsConfig(
+            name=_NAME,
+            version=datasets.Version(_VERSION),
+        )
+    ]
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "audio_id": datasets.Value("string"),
+                "audio": datasets.Audio(sampling_rate=16000),
+                "language": datasets.Value("string"),
+                "normalized_text": datasets.Value("string"),
+                "absolute_path": datasets.Value("string"),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+    
+        metadata_train=dl_manager.download_and_extract(_METADATA_TRAIN)
+        metadata_test=dl_manager.download_and_extract(_METADATA_TEST)
+        metadata_dev=dl_manager.download_and_extract(_METADATA_DEV)
+        
+        meta_paths={"train":metadata_train,"test":metadata_test,"dev":metadata_dev}
+        
+        with open(metadata_train) as f:
+            hash_meta_train = {x["audio_id"]: x for x in csv.DictReader(f, delimiter="\t")}
+
+        with open(metadata_test) as f:
+            hash_meta_test = {x["audio_id"]: x for x in csv.DictReader(f, delimiter="\t")}
+
+        with open(metadata_dev) as f:
+            hash_meta_dev = {x["audio_id"]: x for x in csv.DictReader(f, delimiter="\t")}            
+        
+        hash_audios=defaultdict(dict)
+        hash_audios["train"]=[]
+        for audio_in in hash_meta_train:
+            hash_audios["train"].append(hash_meta_train[audio_in]["absolute_path"])
+
+        hash_audios["test"]=[]
+        for audio_in in hash_meta_test:
+            hash_audios["test"].append(hash_meta_test[audio_in]["absolute_path"])
+        
+        hash_audios["dev"]=[]
+        for audio_in in hash_meta_dev:
+            hash_audios["dev"].append(hash_meta_dev[audio_in]["absolute_path"])
+
+        absolute_paths=hash_audios
+        
+        audio_paths = dl_manager.download(hash_audios)
+        
+        local_extracted_audio_paths = dl_manager.download_and_extract(audio_paths)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "audio_archives":[dl_manager.iter_archive(archive) for archive in audio_paths["train"]],
+                    "local_extracted_archives_paths": local_extracted_audio_paths["train"],
+                    "metadata_paths": meta_paths["train"],
+                    "absolute_paths":absolute_paths["train"],
+                }
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "audio_archives": [dl_manager.iter_archive(archive) for archive in audio_paths["dev"]],
+                    "local_extracted_archives_paths": local_extracted_audio_paths["dev"],
+                    "metadata_paths": meta_paths["dev"],
+                    "absolute_paths":absolute_paths["dev"],
+                }
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "audio_archives": [dl_manager.iter_archive(archive) for archive in audio_paths["test"]],
+                    "local_extracted_archives_paths": local_extracted_audio_paths["test"],
+                    "metadata_paths": meta_paths["test"],
+                    "absolute_paths":absolute_paths["test"],
+                }
+            ),
+        ]
+
+    def _generate_examples(self, audio_archives, local_extracted_archives_paths, metadata_paths,absolute_paths):
+
+        features = ["language","normalized_text","absolute_path"]
+        
+        meta_path = metadata_paths
+
+        with open(meta_path) as f:
+            metadata = {x["audio_id"]: x for x in csv.DictReader(f, delimiter="\t")}
+
+        for audio_archive,local_path,rel_path in zip(audio_archives,local_extracted_archives_paths,absolute_paths):
+            audio_id =os.path.splitext(os.path.basename(rel_path))[0]
+            path = local_path
+                        
+            yield audio_id, {
+                "audio_id": audio_id,
+                **{feature: metadata[audio_id][feature] for feature in features},
+                "audio": {"path": path},
+            }
+