Convert dataset to Parquet

README.md

@@ -0,0 +1,61 @@
+---
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: question
+    dtype: string
+  - name: answer_a
+    dtype: string
+  - name: answer_b
+    dtype: string
+  - name: answer_c
+    dtype: string
+  - name: answer_d
+    dtype: string
+  - name: answer_e
+    dtype: string
+  - name: correct_answers
+    sequence:
+      class_label:
+        names:
+          '0': a
+          '1': b
+          '2': c
+          '3': d
+          '4': e
+  - name: type
+    dtype: string
+  - name: subject_name
+    dtype: string
+  - name: number_correct_answers
+    dtype:
+      class_label:
+        names:
+          '0': '1'
+          '1': '2'
+          '2': '3'
+          '3': '4'
+          '4': '5'
+  splits:
+  - name: train
+    num_bytes: 1029583
+    num_examples: 2171
+  - name: validation
+    num_bytes: 140202
+    num_examples: 312
+  - name: test
+    num_bytes: 291607
+    num_examples: 622
+  download_size: 882152
+  dataset_size: 1461392
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
+---

data/test-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4f7017b959855ea1b62c7776e33d98a6cb9c3f19a37a7e578f69d3de7542f57a
+size 177940

data/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:190607dd752d164486d3bff6962f523e2b471f0435f356425d3aec12265f080c
+size 612223

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4407dc65677163f1826a2226a0b77eaf75552d7710ee51dcc1095d53e6ad1835
+size 91989

test_dataset.py

@@ -1,16 +0,0 @@
-from datasets import load_dataset
-
-dataset = load_dataset("./FrenchMedMCQA.py")
-
-print("#"*50)
-print(dataset)
-print("#"*50)
-print(dataset["train"])
-print("#"*50)
-print(dataset["train"][0])
-print("#"*50)
-
-print(dataset["train"].features["number_correct_answers"].names)
-
-label_list = dataset["train"].features["correct_answers"].feature.names
-print(label_list)