Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -43,16 +43,25 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 4778409
+    num_bytes: 4778291
     num_examples: 20000
   - name: test
-    num_bytes: 493038
+    num_bytes: 492986
     num_examples: 2120
   - name: validation
-    num_bytes: 477964
+    num_bytes: 477935
     num_examples: 2051
-  download_size: 8135045
-  dataset_size: 5749411
+  download_size: 1843443
+  dataset_size: 5749212
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: test
+    path: data/test-*
+  - split: validation
+    path: data/validation-*
 ---
 
 # Dataset Card for Business Scene Dialogue 

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+oid sha256:933f2d25d1c62fb563fcf67892230d6941879b3deaf888ed4f6bb252e89d0f9a
+size 171148

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:73d758c92c7d5e156d8f07d39912bd068317d9f396cab5b6fc53b435a70a1296
+size 1504882

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:34d6d252efc7d078a5cff0bb3450011cc0b2d75aef1b81a86e0523f8e9866616
+size 167413

dataset_infos.json

@@ -1 +1,78 @@
-{"default": {"description": "This is the Business Scene Dialogue (BSD) dataset,\na Japanese-English parallel corpus containing written conversations\nin various business scenarios.\n\nThe dataset was constructed in 3 steps:\n  1) selecting business scenes,\n  2) writing monolingual conversation scenarios according to the selected scenes, and\n  3) translating the scenarios into the other language.\n\nHalf of the monolingual scenarios were written in Japanese\nand the other half were written in English.\n\nFields:\n- id: dialogue identifier\n- no: sentence pair number within a dialogue\n- en_speaker: speaker name in English\n- ja_speaker: speaker name in Japanese\n- en_sentence: sentence in English\n- ja_sentence: sentence in Japanese\n- original_language: language in which monolingual scenario was written\n- tag: scenario\n- title: scenario title\n", "citation": "@inproceedings{rikters-etal-2019-designing,\n    title = \"Designing the Business Conversation Corpus\",\n    author = \"Rikters, Mat\u012bss  and\n      Ri, Ryokan  and\n      Li, Tong  and\n      Nakazawa, Toshiaki\",\n    booktitle = \"Proceedings of the 6th Workshop on Asian Translation\",\n    month = nov,\n    year = \"2019\",\n    address = \"Hong Kong, China\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/D19-5204\",\n    doi = \"10.18653/v1/D19-5204\",\n    pages = \"54--61\"\n}\n", "homepage": "https://github.com/tsuruoka-lab/BSD", "license": "CC BY-NC-SA 4.0", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "tag": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "original_language": {"dtype": "string", "id": null, "_type": "Value"}, "no": {"dtype": "int32", "id": null, "_type": "Value"}, "en_speaker": {"dtype": "string", "id": null, "_type": "Value"}, "ja_speaker": {"dtype": "string", "id": null, "_type": "Value"}, "en_sentence": {"dtype": "string", "id": null, "_type": "Value"}, "ja_sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "bsd_ja_en", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4778409, "num_examples": 20000, "dataset_name": "bsd_ja_en"}, "test": {"name": "test", "num_bytes": 493038, "num_examples": 2120, "dataset_name": "bsd_ja_en"}, "validation": {"name": "validation", "num_bytes": 477964, "num_examples": 2051, "dataset_name": "bsd_ja_en"}}, "download_checksums": {"https://raw.githubusercontent.com/tsuruoka-lab/BSD/master/train.json": {"num_bytes": 6740756, "checksum": "e011d1b02ed1acdbed5b677b54a3ceae26baaf6cd2a4fea64e4af4ff699c5ffb"}, "https://raw.githubusercontent.com/tsuruoka-lab/BSD/master/dev.json": {"num_bytes": 687409, "checksum": "43c11e7d9bdb4ab8ecc83114c82a77c596f98c8845af92fb74c8ca12cc9cfa5c"}, "https://raw.githubusercontent.com/tsuruoka-lab/BSD/master/test.json": {"num_bytes": 706880, "checksum": "9da3f8907147b2424671058c93d9f41179ddbd8d0c8298a3e8546c2703174d31"}}, "download_size": 8135045, "post_processing_size": null, "dataset_size": 5749411, "size_in_bytes": 13884456}}
+{
+    "default": {
+        "description": "This is the Business Scene Dialogue (BSD) dataset,\na Japanese-English parallel corpus containing written conversations\nin various business scenarios.\n\nThe dataset was constructed in 3 steps:\n  1) selecting business scenes,\n  2) writing monolingual conversation scenarios according to the selected scenes, and\n  3) translating the scenarios into the other language.\n\nHalf of the monolingual scenarios were written in Japanese\nand the other half were written in English.\n\nFields:\n- id: dialogue identifier\n- no: sentence pair number within a dialogue\n- en_speaker: speaker name in English\n- ja_speaker: speaker name in Japanese\n- en_sentence: sentence in English\n- ja_sentence: sentence in Japanese\n- original_language: language in which monolingual scenario was written\n- tag: scenario\n- title: scenario title\n",
+        "citation": "@inproceedings{rikters-etal-2019-designing,\n    title = \"Designing the Business Conversation Corpus\",\n    author = \"Rikters, Mat\u012bss  and\n      Ri, Ryokan  and\n      Li, Tong  and\n      Nakazawa, Toshiaki\",\n    booktitle = \"Proceedings of the 6th Workshop on Asian Translation\",\n    month = nov,\n    year = \"2019\",\n    address = \"Hong Kong, China\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/D19-5204\",\n    doi = \"10.18653/v1/D19-5204\",\n    pages = \"54--61\"\n}\n",
+        "homepage": "https://github.com/tsuruoka-lab/BSD",
+        "license": "CC BY-NC-SA 4.0",
+        "features": {
+            "id": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "tag": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "title": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "original_language": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "no": {
+                "dtype": "int32",
+                "_type": "Value"
+            },
+            "en_speaker": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "ja_speaker": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "en_sentence": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "ja_sentence": {
+                "dtype": "string",
+                "_type": "Value"
+            }
+        },
+        "builder_name": "parquet",
+        "dataset_name": "bsd_ja_en",
+        "config_name": "default",
+        "version": {
+            "version_str": "1.0.0",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 4778291,
+                "num_examples": 20000,
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 492986,
+                "num_examples": 2120,
+                "dataset_name": null
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 477935,
+                "num_examples": 2051,
+                "dataset_name": null
+            }
+        },
+        "download_size": 1843443,
+        "dataset_size": 5749212,
+        "size_in_bytes": 7592655
+    }
+}