Convert dataset to Parquet (#1)

- Convert dataset to Parquet (b470657542523e3dcafcd9f7bcd0c8996903edb6)
- Delete loading script auxiliary file (0123084efc5be1f99e2bb2f8613234febf0c73b0)
- Delete loading script (011de9275dcb3ddf76a5d206bf26fe7d62ff7594)
- Keep original files for reproduction. (11984322f94b68eccd538c0c8ed7e5224cf90db6)

README.md

@@ -1,3 +1,96 @@
 ---
 license: cc-by-4.0
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': medical_prescription
+          '1': negate
+          '2': none
+          '3': replace
+  - name: tokens
+    sequence: string
+  - name: ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': B-A
+          '2': B-cma_event
+          '3': B-d_dos_form
+          '4': B-d_dos_form_ext
+          '5': B-d_dos_up
+          '6': B-d_dos_val
+          '7': B-dos_cond
+          '8': B-dos_uf
+          '9': B-dos_val
+          '10': B-drug
+          '11': B-dur_ut
+          '12': B-dur_val
+          '13': B-fasting
+          '14': B-freq_days
+          '15': B-freq_int_v1
+          '16': B-freq_int_v1_ut
+          '17': B-freq_int_v2
+          '18': B-freq_int_v2_ut
+          '19': B-freq_startday
+          '20': B-freq_ut
+          '21': B-freq_val
+          '22': B-inn
+          '23': B-max_unit_uf
+          '24': B-max_unit_ut
+          '25': B-max_unit_val
+          '26': B-min_gap_ut
+          '27': B-min_gap_val
+          '28': B-qsp_ut
+          '29': B-qsp_val
+          '30': B-re_ut
+          '31': B-re_val
+          '32': B-rhythm_hour
+          '33': B-rhythm_perday
+          '34': B-rhythm_rec_ut
+          '35': B-rhythm_rec_val
+          '36': B-rhythm_tdte
+          '37': B-roa
+          '38': I-cma_event
+          '39': I-d_dos_form
+          '40': I-d_dos_form_ext
+          '41': I-d_dos_up
+          '42': I-d_dos_val
+          '43': I-dos_cond
+          '44': I-dos_uf
+          '45': I-dos_val
+          '46': I-drug
+          '47': I-fasting
+          '48': I-freq_startday
+          '49': I-inn
+          '50': I-rhythm_tdte
+          '51': I-roa
+  splits:
+  - name: train
+    num_bytes: 396424
+    num_examples: 1386
+  - name: validation
+    num_bytes: 55979
+    num_examples: 198
+  - name: test
+    num_bytes: 110872
+    num_examples: 397
+  download_size: 150866
+  dataset_size: 563275
 ---

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:75dd090da97c99d2e5f72945018583d316355f80d5e284a3c203e9a2f8e5d09d
+size 33339

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f4b98c270f727500409d59922c6b4ed5e7cbc2fb5f953fed9c5de26848815864
+size 97040

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:98b6af38454628876d703f1e517e7ca433ded2eee0c68f4383a59c5e9f5cc9f9
+size 20487

test_dataset.py

@@ -1,11 +0,0 @@
-import json
-
-from datasets import load_dataset
-
-dataset = load_dataset("./PxCorpus.py")
-print(dataset)
-# for d in dataset["train"]:
-#     if d["label"] != "medical_prescription":
-#         print(d)
-# print(dataset["train"][168])
-# print(json.dumps(dataset["train"][0], sort_keys=True, indent=4))