Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -20,6 +20,7 @@ pretty_name: best2009
 tags:
 - word-tokenization
 dataset_info:
+  config_name: best2009
   features:
   - name: fname
     dtype: string
@@ -47,16 +48,23 @@ dataset_info:
         names:
           '0': neg
           '1': pos
-  config_name: best2009
   splits:
   - name: train
-    num_bytes: 483129998
+    num_bytes: 483129698
     num_examples: 148995
   - name: test
-    num_bytes: 10498726
+    num_bytes: 10498706
     num_examples: 2252
-  download_size: 13891260
-  dataset_size: 493628724
+  download_size: 28084787
+  dataset_size: 493628404
+configs:
+- config_name: best2009
+  data_files:
+  - split: train
+    path: best2009/train-*
+  - split: test
+    path: best2009/test-*
+  default: true
 ---
 
 # Dataset Card for `best2009`

best2009/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4cd580b1e8f2761e72c587eae89c018fde26fe638537c9539fb796981ab1238a
+size 493105

best2009/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8fcc077d023b90cb389f2ffd9341b4fb87f56c34cd7cd540ca0b4deff28e71f1
+size 27591682

dataset_infos.json

@@ -1 +1,77 @@
-{"best2009": {"description": "`best2009` is a Thai word-tokenization dataset from encyclopedia, novels, news and articles by\n[NECTEC](https://www.nectec.or.th/) (148,995/2,252 lines of train/test). It was created for\n[BEST 2010: Word Tokenization Competition](https://thailang.nectec.or.th/archive/indexa290.html?q=node/10).\nThe test set answers are not provided publicly.\n", "citation": "@inproceedings{kosawat2009best,\n  title={BEST 2009: Thai word segmentation software contest},\n  author={Kosawat, Krit and Boriboon, Monthika and Chootrakool, Patcharika and Chotimongkol, Ananlada and Klaithin, Supon and Kongyoung, Sarawoot and Kriengket, Kanyanut and Phaholphinyo, Sitthaa and Purodakananda, Sumonmas and Thanakulwarapas, Tipraporn and others},\n  booktitle={2009 Eighth International Symposium on Natural Language Processing},\n  pages={83--88},\n  year={2009},\n  organization={IEEE}\n}\n@inproceedings{boriboon2009best,\n  title={Best corpus development and analysis},\n  author={Boriboon, Monthika and Kriengket, Kanyanut and Chootrakool, Patcharika and Phaholphinyo, Sitthaa and Purodakananda, Sumonmas and Thanakulwarapas, Tipraporn and Kosawat, Krit},\n  booktitle={2009 International Conference on Asian Language Processing},\n  pages={322--327},\n  year={2009},\n  organization={IEEE}\n}\n", "homepage": "https://aiforthai.in.th/", "license": "CC-BY-NC-SA 3.0", "features": {"fname": {"dtype": "string", "id": null, "_type": "Value"}, "char": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "char_type": {"feature": {"num_classes": 12, "names": ["b_e", "c", "d", "n", "o", "p", "q", "s", "s_e", "t", "v", "w"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}, "is_beginning": {"feature": {"num_classes": 2, "names": ["neg", "pos"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "best2009", "config_name": "best2009", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 483129998, "num_examples": 148995, "dataset_name": "best2009"}, "test": {"name": "test", "num_bytes": 10498726, "num_examples": 2252, "dataset_name": "best2009"}}, "download_checksums": {"https://archive.org/download/best_dataset/data.zip": {"num_bytes": 13891260, "checksum": "009386ea03aab2abd194bcb3b86c01b81038f460296c447ce2c0e561d3eca64f"}}, "download_size": 13891260, "post_processing_size": null, "dataset_size": 493628724, "size_in_bytes": 507519984}}
+{
+    "best2009": {
+        "description": "`best2009` is a Thai word-tokenization dataset from encyclopedia, novels, news and articles by\n[NECTEC](https://www.nectec.or.th/) (148,995/2,252 lines of train/test). It was created for\n[BEST 2010: Word Tokenization Competition](https://thailang.nectec.or.th/archive/indexa290.html?q=node/10).\nThe test set answers are not provided publicly.\n",
+        "citation": "@inproceedings{kosawat2009best,\n  title={BEST 2009: Thai word segmentation software contest},\n  author={Kosawat, Krit and Boriboon, Monthika and Chootrakool, Patcharika and Chotimongkol, Ananlada and Klaithin, Supon and Kongyoung, Sarawoot and Kriengket, Kanyanut and Phaholphinyo, Sitthaa and Purodakananda, Sumonmas and Thanakulwarapas, Tipraporn and others},\n  booktitle={2009 Eighth International Symposium on Natural Language Processing},\n  pages={83--88},\n  year={2009},\n  organization={IEEE}\n}\n@inproceedings{boriboon2009best,\n  title={Best corpus development and analysis},\n  author={Boriboon, Monthika and Kriengket, Kanyanut and Chootrakool, Patcharika and Phaholphinyo, Sitthaa and Purodakananda, Sumonmas and Thanakulwarapas, Tipraporn and Kosawat, Krit},\n  booktitle={2009 International Conference on Asian Language Processing},\n  pages={322--327},\n  year={2009},\n  organization={IEEE}\n}\n",
+        "homepage": "https://aiforthai.in.th/",
+        "license": "CC-BY-NC-SA 3.0",
+        "features": {
+            "fname": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "char": {
+                "feature": {
+                    "dtype": "string",
+                    "_type": "Value"
+                },
+                "_type": "Sequence"
+            },
+            "char_type": {
+                "feature": {
+                    "names": [
+                        "b_e",
+                        "c",
+                        "d",
+                        "n",
+                        "o",
+                        "p",
+                        "q",
+                        "s",
+                        "s_e",
+                        "t",
+                        "v",
+                        "w"
+                    ],
+                    "_type": "ClassLabel"
+                },
+                "_type": "Sequence"
+            },
+            "is_beginning": {
+                "feature": {
+                    "names": [
+                        "neg",
+                        "pos"
+                    ],
+                    "_type": "ClassLabel"
+                },
+                "_type": "Sequence"
+            }
+        },
+        "builder_name": "best2009",
+        "dataset_name": "best2009",
+        "config_name": "best2009",
+        "version": {
+            "version_str": "1.0.0",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 483129698,
+                "num_examples": 148995,
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 10498706,
+                "num_examples": 2252,
+                "dataset_name": null
+            }
+        },
+        "download_size": 28084787,
+        "dataset_size": 493628404,
+        "size_in_bytes": 521713191
+    }
+}