Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -26,6 +26,59 @@ task_ids:
 paperswithcode_id: mrqa-2019
 pretty_name: MRQA 2019
 dataset_info:
+- config_name: default
+  features:
+  - name: subset
+    dtype: string
+  - name: context
+    dtype: string
+  - name: context_tokens
+    sequence:
+    - name: tokens
+      dtype: string
+    - name: offsets
+      dtype: int32
+  - name: qid
+    dtype: string
+  - name: question
+    dtype: string
+  - name: question_tokens
+    sequence:
+    - name: tokens
+      dtype: string
+    - name: offsets
+      dtype: int32
+  - name: detected_answers
+    sequence:
+    - name: text
+      dtype: string
+    - name: char_spans
+      sequence:
+      - name: start
+        dtype: int32
+      - name: end
+        dtype: int32
+    - name: token_spans
+      sequence:
+      - name: start
+        dtype: int32
+      - name: end
+        dtype: int32
+  - name: answers
+    sequence: string
+  splits:
+  - name: train
+    num_bytes: 4090677713
+    num_examples: 516819
+  - name: validation
+    num_bytes: 484106546
+    num_examples: 58221
+  - name: test
+    num_bytes: 57712097
+    num_examples: 9633
+  download_size: 1679161250
+  dataset_size: 4632496356
+- config_name: plain_text
   features:
   - name: subset
     dtype: string
@@ -65,7 +118,6 @@ dataset_info:
         dtype: int32
   - name: answers
     sequence: string
-  config_name: plain_text
   splits:
   - name: train
     num_bytes: 4090681873
@@ -78,6 +130,15 @@ dataset_info:
     num_examples: 58221
   download_size: 1479518355
   dataset_size: 4632501076
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
 ---
 
 # Dataset Card for MRQA 2019

data/test-00000-of-00001.parquet

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+oid sha256:f99b099a4701074612b2b98bb3c937b4e09cc72411d9a8915c6ec51186bbb5a2
+size 15483098

data/train-00000-of-00009.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a7f3bdb15ac4179e7194c5f36e7b90754b2888361c7d5f5024f42bf920e7d76b
+size 40937968

data/train-00001-of-00009.parquet

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+oid sha256:ee901275a64a557398407475cc3c9f3c7ad27075939359b8dc649d1800bb63ad
+size 83288515

data/train-00002-of-00009.parquet

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+oid sha256:153cc1d83cb80b2fec592d2a06bcfd2d37778d0d9e33ecca82eebe0f0dff9012
+size 168678531

data/train-00003-of-00009.parquet

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+size 330623073

data/train-00004-of-00009.parquet

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+size 313450289

data/train-00005-of-00009.parquet

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+size 295803474

data/train-00006-of-00009.parquet

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+size 96192618

data/train-00007-of-00009.parquet

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data/train-00008-of-00009.parquet

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data/validation-00000-of-00001.parquet

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+size 177544051