Update parquet files

README.md

@@ -1,146 +0,0 @@
----
-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.zip → Test Dataset/test-user-test.parquet

@@ -1,3 +1,3 @@
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-oid sha256:9c2f80675f1ddc98cc06bbb1b2eb5df896779b78daf921bb9ee193dc8db1ffb0
-size 48701
+oid sha256:683d6fef157510ae30d8839b4093f153eeed99a8cd4b2732a75e89296036fd1d
+size 64346

test-user.py

@@ -1,125 +0,0 @@
-# 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('test', path)
-                result["audio"] = {"path": path, "bytes":f.read()}
-                yield id_, result
-                id_ +=1

test.tsv

@@ -1,4 +0,0 @@
-audio_id	ngram
-common_voice_pl_20547774.wav	poślemy
-common_voice_pl_20547775.wav	poślemy po
-common_voice_pl_20547776.wav	poślemy po was