Convert dataset to Parquet (#2)

- Convert dataset to Parquet (cfee71f82ec557cf792308d4b1dc72237743520b)


Co-authored-by: Walter <davzoku@users.noreply.huggingface.co>

ALL/test-00000-of-00001.parquet

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+oid sha256:5d99adc603500c05751aff9f61bed7bbd54a9ad5ea569d108b645346655aae44
+size 245784461

ALL/train-00000-of-00009.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bee336c14dda183b1f700d54a149173418c7b3def295666159dd72c32aa8b326
+size 286917870

ALL/train-00001-of-00009.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1934cd4c4e8784bfc231b0294326a308dc2b7abf5e3c7f17622ece10ae8d8b56
+size 327223660

ALL/train-00002-of-00009.parquet

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+size 177530416

ALL/train-00003-of-00009.parquet

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+size 179463335

ALL/train-00004-of-00009.parquet

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+size 205709320

ALL/train-00005-of-00009.parquet

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+size 271713449

ALL/train-00006-of-00009.parquet

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+size 213807578

ALL/train-00007-of-00009.parquet

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ALL/train-00008-of-00009.parquet

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README.md

@@ -8,7 +8,6 @@ language:
 license: apache-2.0
 multilinguality:
 - monolingual
-pretty_name: TACO
 size_categories:
 - 10K<n<100K
 source_datasets: []
@@ -16,9 +15,63 @@ task_categories:
 - text-generation
 task_ids:
 - language-modeling
+paperswithcode_id: taco-topics-in-algorithmic-code-generation
+pretty_name: TACO
 tags:
 - code
-paperswithcode_id: taco-topics-in-algorithmic-code-generation
+dataset_info:
+  config_name: ALL
+  features:
+  - name: question
+    dtype: string
+  - name: solutions
+    dtype: string
+  - name: starter_code
+    dtype: string
+  - name: input_output
+    dtype: string
+  - name: difficulty
+    dtype: string
+  - name: raw_tags
+    dtype: string
+  - name: name
+    dtype: string
+  - name: source
+    dtype: string
+  - name: tags
+    dtype: string
+  - name: skill_types
+    dtype: string
+  - name: url
+    dtype: string
+  - name: Expected Auxiliary Space
+    dtype: string
+  - name: time_limit
+    dtype: string
+  - name: date
+    dtype: string
+  - name: picture_num
+    dtype: string
+  - name: memory_limit
+    dtype: string
+  - name: Expected Time Complexity
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 4239311973
+    num_examples: 25443
+  - name: test
+    num_bytes: 481480755
+    num_examples: 1000
+  download_size: 2419844942
+  dataset_size: 4720792728
+configs:
+- config_name: ALL
+  data_files:
+  - split: train
+    path: ALL/train-*
+  - split: test
+    path: ALL/test-*
 ---
 
 # TACO Dataset