Convert dataset to Parquet

Convert dataset to Parquet.

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"

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 +1,38 @@
 {
-  "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
-  }
+    "default": {
+        "description": "A large synthetic collection of parallel English and ASL-Gloss texts.\nThere are two string features: text, and gloss.\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",
+                "_type": "Value"
+            },
+            "text": {
+                "dtype": "string",
+                "_type": "Value"
+            }
+        },
+        "builder_name": "parquet",
+        "dataset_name": "aslg_pc12",
+        "config_name": "default",
+        "version": {
+            "version_str": "0.0.1",
+            "major": 0,
+            "minor": 0,
+            "patch": 1
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 13475111,
+                "num_examples": 87710,
+                "dataset_name": null
+            }
+        },
+        "download_size": 7583458,
+        "dataset_size": 13475111,
+        "size_in_bytes": 21058569
+    }
 }