Datasets:
Convert dataset to Parquet
#3
by
albertvillanova
HF staff
- opened
- README.md +11 -6
- aslg_pc12.py +0 -82
- data/train-00000-of-00001.parquet +3 -0
- dataset_infos.json +0 -53
README.md
CHANGED
@@ -2,16 +2,15 @@
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annotations_creators:
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- crowdsourced
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- expert-generated
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language:
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- ase
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- en
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language_creators:
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- found
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license:
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- cc-by-nc-4.0
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multilinguality:
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- translation
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pretty_name: English-ASL Gloss Parallel Corpus 2012
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size_categories:
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- 10K<n<100K
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source_datasets:
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- translation
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task_ids: []
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paperswithcode_id: aslg-pc12
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dataset_info:
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features:
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- name: gloss
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dtype: string
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splits:
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- name: train
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num_bytes:
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num_examples: 87710
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download_size:
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dataset_size:
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---
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# Dataset Card for "aslg_pc12"
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annotations_creators:
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- crowdsourced
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- expert-generated
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language_creators:
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- found
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language:
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- ase
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- en
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license:
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- cc-by-nc-4.0
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multilinguality:
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- translation
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size_categories:
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- 10K<n<100K
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source_datasets:
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- translation
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task_ids: []
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paperswithcode_id: aslg-pc12
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pretty_name: English-ASL Gloss Parallel Corpus 2012
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dataset_info:
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features:
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- name: gloss
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dtype: string
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splits:
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- name: train
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num_bytes: 13475111
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num_examples: 87710
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download_size: 7583458
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dataset_size: 13475111
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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# Dataset Card for "aslg_pc12"
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aslg_pc12.py
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# coding=utf-8
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# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""ASLG-PC12: Synthetic English-ASL Gloss Parallel Corpus 2012"""
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import datasets
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_DESCRIPTION = """\
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A large synthetic collection of parallel English and ASL-Gloss texts.
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There are two string features: text, and gloss.
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"""
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_CITATION = """\
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@inproceedings{othman2012english,
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title={English-asl gloss parallel corpus 2012: Aslg-pc12},
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author={Othman, Achraf and Jemni, Mohamed},
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booktitle={5th Workshop on the Representation and Processing of Sign Languages: Interactions between Corpus and Lexicon LREC},
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year={2012}
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}
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"""
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_GLOSS_URL = "https://www.achrafothman.net/aslsmt/corpus/sample-corpus-asl-en.asl"
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_TEXT_URL = "https://www.achrafothman.net/aslsmt/corpus/sample-corpus-asl-en.en"
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_HOMEPAGE = "https://achrafothman.net/site/asl-smt/"
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class ASLGPC12(datasets.GeneratorBasedBuilder):
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"""ASLG-PC12: Synthetic English-ASL Gloss Parallel Corpus 2012"""
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VERSION = datasets.Version("0.0.1") # sample corpus
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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# This defines the different columns of the dataset and their types
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features=datasets.Features(
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{
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"gloss": datasets.Value("string"), # American sign language gloss
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"text": datasets.Value("string"), # English text
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}
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),
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homepage=_HOMEPAGE,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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gloss_path, text_path = dl_manager.download([_GLOSS_URL, _TEXT_URL])
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={"gloss_path": gloss_path, "text_path": text_path},
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)
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]
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def _generate_examples(self, gloss_path, text_path):
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"""Yields examples."""
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gloss_f = open(gloss_path, "r", encoding="utf-8")
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text_f = open(text_path, "r", encoding="utf-8")
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for i, (gloss, text) in enumerate(zip(gloss_f, text_f)):
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yield i, {"gloss": gloss, "text": text}
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gloss_f.close()
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text_f.close()
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data/train-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:a4661fe4a0ad021884f68be05a496e58fdcf9aeba0c627a2c5f807c4c2accfcc
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size 7583458
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dataset_infos.json
DELETED
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{
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"default": {
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"description": "Synthetic English-ASL Gloss Parallel Corpus 2012\n",
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"citation": "@inproceedings{othman2012english,\n title={English-asl gloss parallel corpus 2012: Aslg-pc12},\n author={Othman, Achraf and Jemni, Mohamed},\n booktitle={5th Workshop on the Representation and Processing of Sign Languages: Interactions between Corpus and Lexicon LREC},\n year={2012}\n}\n",
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"homepage": "https://achrafothman.net/site/asl-smt/",
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"license": "",
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"features": {
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"gloss": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"text": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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}
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},
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"post_processed": null,
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"supervised_keys": null,
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"builder_name": "aslgp_c12",
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"config_name": "default",
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"version": {
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"version_str": "0.0.1",
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"description": null,
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"major": 0,
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"minor": 0,
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"patch": 1
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},
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 13497111,
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"num_examples": 87710,
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"dataset_name": "aslgp_c12"
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}
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},
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"download_checksums": {
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"https://www.achrafothman.net/aslsmt/corpus/sample-corpus-asl-en.asl": {
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"num_bytes": 6457824,
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"checksum": "e550698336419edaaedfc51882541eb033db83257fa2167900ac0db9fae91633"
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},
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"https://www.achrafothman.net/aslsmt/corpus/sample-corpus-asl-en.en": {
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"num_bytes": 6315607,
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"checksum": "889732ced6ceaeab352efd647de65ac29e1ac7adb1206b2703d9d35432924f6a"
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}
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},
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"download_size": 12773431,
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"post_processing_size": null,
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"dataset_size": 13497111,
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"size_in_bytes": 26270542
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}
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}
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