Convert dataset to Parquet

Basque_clinical/test-00000-of-00001.parquet

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Basque_clinical/train-00000-of-00001.parquet

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Basque_clinical/validation-00000-of-00001.parquet

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Basque_temporal/test-00000-of-00001.parquet

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English_clinical/test-00000-of-00001.parquet

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English_clinical/train-00000-of-00001.parquet

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README.md

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+---
+dataset_info:
+- config_name: Basque_clinical
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': B-CLINENTITY
+          '2': I-CLINENTITY
+  splits:
+  - name: train
+    num_bytes: 414353
+    num_examples: 1392
+  - name: validation
+    num_bytes: 57192
+    num_examples: 202
+  - name: test
+    num_bytes: 848051
+    num_examples: 3126
+  download_size: 505262
+  dataset_size: 1319596
+- config_name: Basque_temporal
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': B-EVENT
+          '2': B-ACTOR
+          '3': B-BODYPART
+          '4': B-TIMEX3
+          '5': B-RML
+          '6': I-EVENT
+          '7': I-ACTOR
+          '8': I-BODYPART
+          '9': I-TIMEX3
+          '10': I-RML
+  splits:
+  - name: train
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+    num_examples: 2188
+  - name: validation
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+    num_examples: 312
+  - name: test
+    num_bytes: 169678
+    num_examples: 626
+  download_size: 345948
+  dataset_size: 848051
+- config_name: English_clinical
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': B-CLINENTITY
+          '2': I-CLINENTITY
+  splits:
+  - name: train
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+  - name: validation
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+    num_examples: 363
+  - name: test
+    num_bytes: 689360
+    num_examples: 1520
+  download_size: 672196
+  dataset_size: 2068003
+- config_name: English_temporal
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: ner_tags
+    sequence:
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+  splits:
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+  - name: validation
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+    num_examples: 152
+  - name: test
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+    num_examples: 304
+  download_size: 251619
+  dataset_size: 689360
+- config_name: French_clinical
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: ner_tags
+    sequence:
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+          '1': B-CLINENTITY
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+    num_examples: 302
+  - name: test
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+    num_examples: 1109
+  download_size: 657580
+  dataset_size: 2110306
+- config_name: French_temporal
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: ner_tags
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+    num_examples: 222
+  download_size: 235375
+  dataset_size: 682748
+- config_name: Italian_clinical
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: ner_tags
+    sequence:
+      class_label:
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+          '0': O
+          '1': B-CLINENTITY
+          '2': I-CLINENTITY
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+    num_examples: 308
+  - name: test
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+    num_examples: 1146
+  download_size: 710023
+  dataset_size: 2126711
+- config_name: Italian_temporal
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
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+          '6': I-EVENT
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+  - name: test
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+    num_examples: 230
+  download_size: 250535
+  dataset_size: 691524
+- config_name: Spanish_clinical
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: ner_tags
+    sequence:
+      class_label:
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+          '0': O
+          '1': B-CLINENTITY
+          '2': I-CLINENTITY
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+    num_examples: 297
+  - name: test
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+    num_examples: 1134
+  download_size: 668173
+  dataset_size: 2036837
+- config_name: Spanish_temporal
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': B-EVENT
+          '2': B-ACTOR
+          '3': B-BODYPART
+          '4': B-TIMEX3
+          '5': B-RML
+          '6': I-EVENT
+          '7': I-ACTOR
+          '8': I-BODYPART
+          '9': I-TIMEX3
+          '10': I-RML
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+    num_examples: 114
+  - name: test
+    num_bytes: 137730
+    num_examples: 227
+  download_size: 246575
+  dataset_size: 680981
+configs:
+- config_name: Basque_clinical
+  data_files:
+  - split: train
+    path: Basque_clinical/train-*
+  - split: validation
+    path: Basque_clinical/validation-*
+  - split: test
+    path: Basque_clinical/test-*
+- config_name: Basque_temporal
+  data_files:
+  - split: train
+    path: Basque_temporal/train-*
+  - split: validation
+    path: Basque_temporal/validation-*
+  - split: test
+    path: Basque_temporal/test-*
+- config_name: English_clinical
+  data_files:
+  - split: train
+    path: English_clinical/train-*
+  - split: validation
+    path: English_clinical/validation-*
+  - split: test
+    path: English_clinical/test-*
+- config_name: English_temporal
+  data_files:
+  - split: train
+    path: English_temporal/train-*
+  - split: validation
+    path: English_temporal/validation-*
+  - split: test
+    path: English_temporal/test-*
+- config_name: French_clinical
+  data_files:
+  - split: train
+    path: French_clinical/train-*
+  - split: validation
+    path: French_clinical/validation-*
+  - split: test
+    path: French_clinical/test-*
+  default: true
+- config_name: French_temporal
+  data_files:
+  - split: train
+    path: French_temporal/train-*
+  - split: validation
+    path: French_temporal/validation-*
+  - split: test
+    path: French_temporal/test-*
+- config_name: Italian_clinical
+  data_files:
+  - split: train
+    path: Italian_clinical/train-*
+  - split: validation
+    path: Italian_clinical/validation-*
+  - split: test
+    path: Italian_clinical/test-*
+- config_name: Italian_temporal
+  data_files:
+  - split: train
+    path: Italian_temporal/train-*
+  - split: validation
+    path: Italian_temporal/validation-*
+  - split: test
+    path: Italian_temporal/test-*
+- config_name: Spanish_clinical
+  data_files:
+  - split: train
+    path: Spanish_clinical/train-*
+  - split: validation
+    path: Spanish_clinical/validation-*
+  - split: test
+    path: Spanish_clinical/test-*
+- config_name: Spanish_temporal
+  data_files:
+  - split: train
+    path: Spanish_temporal/train-*
+  - split: validation
+    path: Spanish_temporal/validation-*
+  - split: test
+    path: Spanish_temporal/test-*
+---

Spanish_clinical/test-00000-of-00001.parquet

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Spanish_clinical/train-00000-of-00001.parquet

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Spanish_clinical/validation-00000-of-00001.parquet

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Spanish_temporal/train-00000-of-00001.parquet

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Spanish_temporal/validation-00000-of-00001.parquet

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test_e3c.py

@@ -1,8 +0,0 @@
-import json
-
-from datasets import load_dataset
-
-dataset = load_dataset("./E3C.py", name="French")
-print(dataset)
-# print(dataset["train"][0])
-print(json.dumps(dataset["train"][0], sort_keys=True, indent=4))