Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -23,6 +23,7 @@ tags:
 - dissertation-abstracts-translation
 - theses-translation
 dataset_info:
+  config_name: en-pt
   features:
   - name: translation
     dtype:
@@ -30,13 +31,18 @@ dataset_info:
         languages:
         - en
         - pt
-  config_name: en-pt
   splits:
   - name: train
-    num_bytes: 472484364
+    num_bytes: 472483436
     num_examples: 1157610
-  download_size: 162229298
-  dataset_size: 472484364
+  download_size: 285468020
+  dataset_size: 472483436
+configs:
+- config_name: en-pt
+  data_files:
+  - split: train
+    path: en-pt/train-*
+  default: true
 ---
 
 # Dataset Card for CAPES

dataset_infos.json

@@ -1 +1,37 @@
-{"en-pt": {"description": "A parallel corpus of theses and dissertations abstracts in English and Portuguese were collected from the CAPES website (Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior) - Brazil. The corpus is sentence aligned for all language pairs. Approximately 240,000 documents were collected and aligned using the Hunalign algorithm.\n", "citation": "@inproceedings{soares2018parallel,\n  title={A Parallel Corpus of Theses and Dissertations Abstracts},\n  author={Soares, Felipe and Yamashita, Gabrielli Harumi and Anzanello, Michel Jose},\n  booktitle={International Conference on Computational Processing of the Portuguese Language},\n  pages={345--352},\n  year={2018},\n  organization={Springer}\n}\n", "homepage": "https://sites.google.com/view/felipe-soares/datasets#h.p_kxOR6EhHm2a6", "license": "", "features": {"translation": {"languages": ["en", "pt"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "capes", "config_name": "en-pt", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 472484364, "num_examples": 1157610, "dataset_name": "capes"}}, "download_checksums": {"https://ndownloader.figstatic.com/files/14015837": {"num_bytes": 162229298, "checksum": "08e5739e78cd5b68ca6b29507f2a746fd3a5fbdec8dde2700a4141030d21e143"}}, "download_size": 162229298, "post_processing_size": null, "dataset_size": 472484364, "size_in_bytes": 634713662}}
+{
+    "en-pt": {
+        "description": "A parallel corpus of theses and dissertations abstracts in English and Portuguese were collected from the CAPES website (Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior) - Brazil. The corpus is sentence aligned for all language pairs. Approximately 240,000 documents were collected and aligned using the Hunalign algorithm.\n",
+        "citation": "@inproceedings{soares2018parallel,\n  title={A Parallel Corpus of Theses and Dissertations Abstracts},\n  author={Soares, Felipe and Yamashita, Gabrielli Harumi and Anzanello, Michel Jose},\n  booktitle={International Conference on Computational Processing of the Portuguese Language},\n  pages={345--352},\n  year={2018},\n  organization={Springer}\n}\n",
+        "homepage": "https://sites.google.com/view/felipe-soares/datasets#h.p_kxOR6EhHm2a6",
+        "license": "",
+        "features": {
+            "translation": {
+                "languages": [
+                    "en",
+                    "pt"
+                ],
+                "_type": "Translation"
+            }
+        },
+        "builder_name": "capes",
+        "dataset_name": "capes",
+        "config_name": "en-pt",
+        "version": {
+            "version_str": "1.0.0",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 472483436,
+                "num_examples": 1157610,
+                "dataset_name": null
+            }
+        },
+        "download_size": 285468020,
+        "dataset_size": 472483436,
+        "size_in_bytes": 757951456
+    }
+}

en-pt/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8f2e5cacec1504c02b08b453f7cdddaeb652772c9800359ea2fccec46d52cfc
+size 285468020