Duplicate from j-krzywdziak/test

Co-authored-by: Justyna Krzywdziak <j-krzywdziak@users.noreply.huggingface.co>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+annotations_creators:
+- expert-generated
+language:
+- pl
+license:
+- mit
+multilinguality:
+- monolingual
+dataset_info:
+- config_name: config
+  features:
+  - name: audio_id
+    dtype: string
+  - name: audio
+    dtype:
+      audio:
+        sampling_rate: 16000
+  - name: text
+    dtype: string
+duplicated_from: j-krzywdziak/test
+---
+
+
+# Dataset Card for [Dataset Name]
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:**
+- **Repository:**
+- **Paper:**
+- **Leaderboard:**
+- **Point of Contact:**
+
+### Dataset Summary
+
+[More Information Needed]
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+[More Information Needed]
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+[More Information Needed]
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]
+
+### Contributions
+
+Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.

test.py

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+# coding=utf-8
+# Lint as: python3
+"""test set"""
+
+
+import csv
+import os
+import json
+
+import datasets
+from datasets.utils.py_utils import size_str
+from tqdm import tqdm
+
+
+_CITATION = """\
+@inproceedings{panayotov2015librispeech,
+  title={Librispeech: an ASR corpus based on public domain audio books},
+  author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},
+  booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},
+  pages={5206--5210},
+  year={2015},
+  organization={IEEE}
+}
+"""
+
+_DESCRIPTION = """\
+Lorem ipsum
+"""
+
+
+_BASE_URL = "https://huggingface.co/datasets/j-krzywdziak/test/tree/main"
+_DATA_URL = "https://huggingface.co/datasets/j-krzywdziak/test/resolve/main/test.zip"
+_PROMPTS_URLS = {"test": "https://huggingface.co/datasets/j-krzywdziak/test/raw/main/test.tsv"}
+
+logger = datasets.logging.get_logger(__name__)
+
+class TestConfig(datasets.BuilderConfig):
+    """Lorem impsum."""
+
+    def __init__(self, name, **kwargs):
+        # self.language = kwargs.pop("language", None)
+        # self.release_date = kwargs.pop("release_date", None)
+        # self.num_clips = kwargs.pop("num_clips", None)
+        # self.num_speakers = kwargs.pop("num_speakers", None)
+        # self.validated_hr = kwargs.pop("validated_hr", None)
+        # self.total_hr = kwargs.pop("total_hr", None)
+        # self.size_bytes = kwargs.pop("size_bytes", None)
+        # self.size_human = size_str(self.size_bytes)
+        description = (
+            f"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor "
+            f"incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud "
+            f"exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure "
+            f"dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. "
+            f"Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt "
+            f"mollit anim id est laborum."
+        )
+        super(TestConfig, self).__init__(
+            name=name,
+            description=description,
+            **kwargs,
+        )
+
+class TestASR(datasets.GeneratorBasedBuilder):
+    """Lorem ipsum."""
+
+
+    BUILDER_CONFIGS = [
+        TestConfig(
+            name="Test Dataset",
+        )
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "audio_id": datasets.Value("string"),
+                    "audio": datasets.Audio(sampling_rate=16_000),
+                    "ngram": datasets.Value("string")
+                }
+            ),
+            supervised_keys=None,
+            homepage=_BASE_URL,
+            citation=_CITATION
+        )
+
+    def _split_generators(self, dl_manager):
+        audio_path = dl_manager.download(_DATA_URL)
+        local_extracted_archive = dl_manager.extract(audio_path) if not dl_manager.is_streaming else None
+        meta_path = dl_manager.download(_PROMPTS_URLS)
+        return [datasets.SplitGenerator(
+            name=datasets.Split.TEST,
+            gen_kwargs={
+                "meta_path": meta_path["test"],
+                "audio_files": dl_manager.iter_archive(audio_path),
+                "local_extracted_archive": local_extracted_archive,
+            }
+        )]
+
+    def _generate_examples(self, meta_path, audio_files, local_extracted_archive):
+        """Lorem ipsum."""
+        data_fields = list(self._info().features.keys())
+        metadata = {}
+        with open(meta_path, encoding="utf-8") as f:
+            next(f)
+            for row in f:
+                print(row)
+                r = row.split("\t")
+                print(r)
+                audio_id = r[0]
+                ngram = r[1]
+                metadata[audio_id] = {"audio_id": audio_id,
+                                      "ngram": ngram}
+
+        id_ = 0
+        for path, f in audio_files:
+            print(path, f)
+            _, audio_name = os.path.split(path)
+            if audio_name in metadata:
+                result = dict(metadata[audio_name])
+                path = os.path.join(path, 'test')
+                result["audio"] = {"path": path, "bytes":f.read()}
+                yield id_, result
+                id_ +=1

test.tsv

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+audio_id	ngram
+common_voice_pl_20547774.wav	poślemy
+common_voice_pl_20547775.wav	poślemy po
+common_voice_pl_20547776.wav	poślemy po was

test.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9c2f80675f1ddc98cc06bbb1b2eb5df896779b78daf921bb9ee193dc8db1ffb0
+size 48701