Super-squash branch 'main' using huggingface_hub

.gitattributes

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README.md

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+---
+dataset_info:
+  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: 2419845110
+  dataset_size: 4720792728
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: test
+    path: data/test-*
+source_datasets: BAAI/TACO
+license: apache-2.0
+task_categories:
+- text-generation
+- feature-extraction
+language:
+- en
+tags:
+- BAAI/TACO
+size_categories:
+- 10K<n<100K
+---
+
+# BEE-spoke-data/TACO-hf
+
+Simple re-host of https://huggingface.co/datasets/BAAI/TACO but saved as hf dataset for ease of use.
+
+
+Features:
+
+```py
+DatasetDict({
+    "train": Dataset({
+        "features": [
+            "question",
+            "solutions",
+            "starter_code",
+            "input_output",
+            "difficulty",
+            "raw_tags",
+            "name",
+            "source",
+            "tags",
+            "skill_types",
+            "url",
+            "Expected Auxiliary Space",
+            "time_limit",
+            "date",
+            "picture_num",
+            "memory_limit",
+            "Expected Time Complexity"
+        ],
+        "num_rows": 25443
+    }),
+    "test": Dataset({
+        "features": [
+            "question",
+            "solutions",
+            "starter_code",
+            "input_output",
+            "difficulty",
+            "raw_tags",
+            "name",
+            "source",
+            "tags",
+            "skill_types",
+            "url",
+            "Expected Auxiliary Space",
+            "time_limit",
+            "date",
+            "picture_num",
+            "memory_limit",
+            "Expected Time Complexity"
+        ],
+        "num_rows": 1000
+    })
+})
+```
+
+Refer to the original dataset for more details.

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