Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -1,206 +1,216 @@
 ---
 annotations_creators:
 - expert-generated
-language:
-- en
 language_creators:
 - found
+language:
+- en
 license:
 - other
 multilinguality:
 - monolingual
-pretty_name: FabNER is a manufacturing text dataset for Named Entity Recognition.
 size_categories:
 - 10K<n<100K
 source_datasets: []
-tags:
-- manufacturing
-- 2000-2020
 task_categories:
 - token-classification
 task_ids:
 - named-entity-recognition
+pretty_name: FabNER is a manufacturing text dataset for Named Entity Recognition.
+tags:
+- manufacturing
+- 2000-2020
 dataset_info:
-  - config_name: fabner
-    features:
-      - name: id
-        dtype: string
-      - name: tokens
-        sequence: string
-      - name: ner_tags
-        sequence:
-          class_label:
-            names:
-              '0': O
-              '1': B-MATE
-              '2': I-MATE
-              '3': E-MATE
-              '4': S-MATE
-              '5': B-MANP
-              '6': I-MANP
-              '7': E-MANP
-              '8': S-MANP
-              '9': B-MACEQ
-              '10': I-MACEQ
-              '11': E-MACEQ
-              '12': S-MACEQ
-              '13': B-APPL
-              '14': I-APPL
-              '15': E-APPL
-              '16': S-APPL
-              '17': B-FEAT
-              '18': I-FEAT
-              '19': E-FEAT
-              '20': S-FEAT
-              '21': B-PRO
-              '22': I-PRO
-              '23': E-PRO
-              '24': S-PRO
-              '25': B-CHAR
-              '26': I-CHAR
-              '27': E-CHAR
-              '28': S-CHAR
-              '29': B-PARA
-              '30': I-PARA
-              '31': E-PARA
-              '32': S-PARA
-              '33': B-ENAT
-              '34': I-ENAT
-              '35': E-ENAT
-              '36': S-ENAT
-              '37': B-CONPRI
-              '38': I-CONPRI
-              '39': E-CONPRI
-              '40': S-CONPRI
-              '41': B-MANS
-              '42': I-MANS
-              '43': E-MANS
-              '44': S-MANS
-              '45': B-BIOP
-              '46': I-BIOP
-              '47': E-BIOP
-              '48': S-BIOP
-    splits:
-      - name: train
-        num_bytes: 4394010
-        num_examples: 9435
-      - name: validation
-        num_bytes: 934347
-        num_examples: 2183
-      - name: test
-        num_bytes: 940136
-        num_examples: 2064
-    download_size: 1265830
-    dataset_size: 6268493
-  - config_name: fabner_bio
-    features:
-      - name: id
-        dtype: string
-      - name: tokens
-        sequence: string
-      - name: ner_tags
-        sequence:
-          class_label:
-            names:
-              '0': O
-              '1': B-MATE
-              '2': I-MATE
-              '3': B-MANP
-              '4': I-MANP
-              '5': B-MACEQ
-              '6': I-MACEQ
-              '7': B-APPL
-              '8': I-APPL
-              '9': B-FEAT
-              '10': I-FEAT
-              '11': B-PRO
-              '12': I-PRO
-              '13': B-CHAR
-              '14': I-CHAR
-              '15': B-PARA
-              '16': I-PARA
-              '17': B-ENAT
-              '18': I-ENAT
-              '19': B-CONPRI
-              '20': I-CONPRI
-              '21': B-MANS
-              '22': I-MANS
-              '23': B-BIOP
-              '24': I-BIOP
-    splits:
-      - name: train
-        num_bytes: 4394010
-        num_examples: 9435
-      - name: validation
-        num_bytes: 934347
-        num_examples: 2183
-      - name: test
-        num_bytes: 940136
-        num_examples: 2064
-    download_size: 1258672
-    dataset_size: 6268493
-  - config_name: fabner_simple
-    features:
-      - name: id
-        dtype: string
-      - name: tokens
-        sequence: string
-      - name: ner_tags
-        sequence:
-          class_label:
-            names:
-              '0': O
-              '1': MATE
-              '2': MANP
-              '3': MACEQ
-              '4': APPL
-              '5': FEAT
-              '6': PRO
-              '7': CHAR
-              '8': PARA
-              '9': ENAT
-              '10': CONPRI
-              '11': MANS
-              '12': BIOP
-    splits:
-      - name: train
-        num_bytes: 4394010
-        num_examples: 9435
-      - name: validation
-        num_bytes: 934347
-        num_examples: 2183
-      - name: test
-        num_bytes: 940136
-        num_examples: 2064
-    download_size: 1233960
-    dataset_size: 6268493
-  - config_name: text2tech
-    features:
-      - name: id
-        dtype: string
-      - name: tokens
-        sequence: string
-      - name: ner_tags
-        sequence:
-          class_label:
-            names:
-              '0': O
-              '1': Technological System
-              '2': Method
-              '3': Material
-              '4': Technical Field
-    splits:
-      - name: train
-        num_bytes: 4394010
-        num_examples: 9435
-      - name: validation
-        num_bytes: 934347
-        num_examples: 2183
-      - name: test
-        num_bytes: 940136
-        num_examples: 2064
-    download_size: 1192966
-    dataset_size: 6268493
+- config_name: fabner
+  features:
+  - name: id
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': B-MATE
+          '2': I-MATE
+          '3': E-MATE
+          '4': S-MATE
+          '5': B-MANP
+          '6': I-MANP
+          '7': E-MANP
+          '8': S-MANP
+          '9': B-MACEQ
+          '10': I-MACEQ
+          '11': E-MACEQ
+          '12': S-MACEQ
+          '13': B-APPL
+          '14': I-APPL
+          '15': E-APPL
+          '16': S-APPL
+          '17': B-FEAT
+          '18': I-FEAT
+          '19': E-FEAT
+          '20': S-FEAT
+          '21': B-PRO
+          '22': I-PRO
+          '23': E-PRO
+          '24': S-PRO
+          '25': B-CHAR
+          '26': I-CHAR
+          '27': E-CHAR
+          '28': S-CHAR
+          '29': B-PARA
+          '30': I-PARA
+          '31': E-PARA
+          '32': S-PARA
+          '33': B-ENAT
+          '34': I-ENAT
+          '35': E-ENAT
+          '36': S-ENAT
+          '37': B-CONPRI
+          '38': I-CONPRI
+          '39': E-CONPRI
+          '40': S-CONPRI
+          '41': B-MANS
+          '42': I-MANS
+          '43': E-MANS
+          '44': S-MANS
+          '45': B-BIOP
+          '46': I-BIOP
+          '47': E-BIOP
+          '48': S-BIOP
+  splits:
+  - name: train
+    num_bytes: 4394010
+    num_examples: 9435
+  - name: validation
+    num_bytes: 934347
+    num_examples: 2183
+  - name: test
+    num_bytes: 940136
+    num_examples: 2064
+  download_size: 1265830
+  dataset_size: 6268493
+- config_name: fabner_bio
+  features:
+  - name: id
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': B-MATE
+          '2': I-MATE
+          '3': B-MANP
+          '4': I-MANP
+          '5': B-MACEQ
+          '6': I-MACEQ
+          '7': B-APPL
+          '8': I-APPL
+          '9': B-FEAT
+          '10': I-FEAT
+          '11': B-PRO
+          '12': I-PRO
+          '13': B-CHAR
+          '14': I-CHAR
+          '15': B-PARA
+          '16': I-PARA
+          '17': B-ENAT
+          '18': I-ENAT
+          '19': B-CONPRI
+          '20': I-CONPRI
+          '21': B-MANS
+          '22': I-MANS
+          '23': B-BIOP
+          '24': I-BIOP
+  splits:
+  - name: train
+    num_bytes: 4394010
+    num_examples: 9435
+  - name: validation
+    num_bytes: 934347
+    num_examples: 2183
+  - name: test
+    num_bytes: 940136
+    num_examples: 2064
+  download_size: 1258672
+  dataset_size: 6268493
+- config_name: fabner_simple
+  features:
+  - name: id
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': MATE
+          '2': MANP
+          '3': MACEQ
+          '4': APPL
+          '5': FEAT
+          '6': PRO
+          '7': CHAR
+          '8': PARA
+          '9': ENAT
+          '10': CONPRI
+          '11': MANS
+          '12': BIOP
+  splits:
+  - name: train
+    num_bytes: 4394010
+    num_examples: 9435
+  - name: validation
+    num_bytes: 934347
+    num_examples: 2183
+  - name: test
+    num_bytes: 940136
+    num_examples: 2064
+  download_size: 1233960
+  dataset_size: 6268493
+- config_name: text2tech
+  features:
+  - name: id
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': Technological System
+          '2': Method
+          '3': Material
+          '4': Technical Field
+  splits:
+  - name: train
+    num_bytes: 4394010
+    num_examples: 9435
+  - name: validation
+    num_bytes: 934347
+    num_examples: 2183
+  - name: test
+    num_bytes: 940136
+    num_examples: 2064
+  download_size: 1192966
+  dataset_size: 6268493
+configs:
+- config_name: fabner
+  data_files:
+  - split: train
+    path: fabner/train-*
+  - split: validation
+    path: fabner/validation-*
+  - split: test
+    path: fabner/test-*
+  default: true
 ---
 
 # Dataset Card for FabNER

fabner/test-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e0406c84c4f5709e0ef22fdcadf5d5d40f70f6a8e63847852421f2df127e99eb
+size 187818

fabner/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fc7fa7f8d45a6d98953d677be056c96ca6b8fbd0dee4e1e1ccd39eb149cc3ea9
+size 886876

fabner/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf1f5f2b4b3787b719994c433e5a3179f2c71b23055818fa130020592bce126b
+size 191136