Convert dataset to Parquet (#3)

- Convert dataset to Parquet (2f74a295af88599fda9151cefa35469da83d8958)
- Delete loading script (2fee6b1f771b520e7abdc898eddafa4daff146ac)
- Delete legacy dataset_infos.json (9dcad1e446161e4e4a4d324cdf9d40b321a2a9a5)

README.md

@@ -2,16 +2,15 @@
 annotations_creators:
 - crowdsourced
 - expert-generated
+language_creators:
+- found
 language:
 - ase
 - en
-language_creators:
-- found
 license:
 - cc-by-nc-4.0
 multilinguality:
 - translation
-pretty_name: English-ASL Gloss Parallel Corpus 2012
 size_categories:
 - 10K<n<100K
 source_datasets:
@@ -20,6 +19,7 @@ task_categories:
 - translation
 task_ids: []
 paperswithcode_id: aslg-pc12
+pretty_name: English-ASL Gloss Parallel Corpus 2012
 dataset_info:
   features:
   - name: gloss
@@ -28,10 +28,15 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 13497111
+    num_bytes: 13475111
     num_examples: 87710
-  download_size: 12773431
-  dataset_size: 13497111
+  download_size: 7583458
+  dataset_size: 13475111
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
 ---
 
 # Dataset Card for "aslg_pc12"

aslg_pc12.py

@@ -1,82 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""ASLG-PC12: Synthetic English-ASL Gloss Parallel Corpus 2012"""
-
-
-import datasets
-
-
-_DESCRIPTION = """\
-A large synthetic collection of parallel English and ASL-Gloss texts.
-There are two string features: text, and gloss.
-"""
-
-_CITATION = """\
-@inproceedings{othman2012english,
-  title={English-asl gloss parallel corpus 2012: Aslg-pc12},
-  author={Othman, Achraf and Jemni, Mohamed},
-  booktitle={5th Workshop on the Representation and Processing of Sign Languages: Interactions between Corpus and Lexicon LREC},
-  year={2012}
-}
-"""
-
-_GLOSS_URL = "https://www.achrafothman.net/aslsmt/corpus/sample-corpus-asl-en.asl"
-_TEXT_URL = "https://www.achrafothman.net/aslsmt/corpus/sample-corpus-asl-en.en"
-
-_HOMEPAGE = "https://achrafothman.net/site/asl-smt/"
-
-
-class ASLGPC12(datasets.GeneratorBasedBuilder):
-    """ASLG-PC12: Synthetic English-ASL Gloss Parallel Corpus 2012"""
-
-    VERSION = datasets.Version("0.0.1")  # sample corpus
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            # This defines the different columns of the dataset and their types
-            features=datasets.Features(
-                {
-                    "gloss": datasets.Value("string"),  # American sign language gloss
-                    "text": datasets.Value("string"),  # English text
-                }
-            ),
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-
-        gloss_path, text_path = dl_manager.download([_GLOSS_URL, _TEXT_URL])
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"gloss_path": gloss_path, "text_path": text_path},
-            )
-        ]
-
-    def _generate_examples(self, gloss_path, text_path):
-        """Yields examples."""
-
-        gloss_f = open(gloss_path, "r", encoding="utf-8")
-        text_f = open(text_path, "r", encoding="utf-8")
-
-        for i, (gloss, text) in enumerate(zip(gloss_f, text_f)):
-            yield i, {"gloss": gloss, "text": text}
-
-        gloss_f.close()
-        text_f.close()

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a4661fe4a0ad021884f68be05a496e58fdcf9aeba0c627a2c5f807c4c2accfcc
+size 7583458

dataset_infos.json

@@ -1,53 +0,0 @@
-{
-  "default": {
-    "description": "Synthetic English-ASL Gloss Parallel Corpus 2012\n",
-    "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",
-    "homepage": "https://achrafothman.net/site/asl-smt/",
-    "license": "",
-    "features": {
-      "gloss": {
-        "dtype": "string",
-        "id": null,
-        "_type": "Value"
-      },
-      "text": {
-        "dtype": "string",
-        "id": null,
-        "_type": "Value"
-      }
-    },
-    "post_processed": null,
-    "supervised_keys": null,
-    "builder_name": "aslgp_c12",
-    "config_name": "default",
-    "version": {
-      "version_str": "0.0.1",
-      "description": null,
-      "major": 0,
-      "minor": 0,
-      "patch": 1
-    },
-    "splits": {
-      "train": {
-        "name": "train",
-        "num_bytes": 13497111,
-        "num_examples": 87710,
-        "dataset_name": "aslgp_c12"
-      }
-    },
-    "download_checksums": {
-      "https://www.achrafothman.net/aslsmt/corpus/sample-corpus-asl-en.asl": {
-        "num_bytes": 6457824,
-        "checksum": "e550698336419edaaedfc51882541eb033db83257fa2167900ac0db9fae91633"
-      },
-      "https://www.achrafothman.net/aslsmt/corpus/sample-corpus-asl-en.en": {
-        "num_bytes": 6315607,
-        "checksum": "889732ced6ceaeab352efd647de65ac29e1ac7adb1206b2703d9d35432924f6a"
-      }
-    },
-    "download_size": 12773431,
-    "post_processing_size": null,
-    "dataset_size": 13497111,
-    "size_in_bytes": 26270542
-  }
-}