Create README.md

README.md

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+---
+task_categories:
+- text-retrieval
+task_ids:
+- document-retrieval
+config_names:
+- corpus
+tags:
+- text-retrieval
+dataset_info:
+  - config_name: default
+    features:
+      - name: query-id
+        dtype: string
+      - name: corpus-id
+        dtype: string
+      - name: score
+        dtype: float64
+  - config_name: corpus
+    features:
+      - name: id
+        dtype: string
+      - name: text
+        dtype: string
+  - config_name: queries
+    features:
+      - name: id
+        dtype: string
+      - name: text
+        dtype: string
+configs:
+  - config_name: default
+    data_files:
+      - split: test
+        path: relevance.jsonl
+  - config_name: corpus
+    data_files:
+      - split: corpus
+        path: corpus.jsonl
+  - config_name: queries
+    data_files:
+      - split: queries
+        path: queries.jsonl
+---
+
+WikiSQL is a dataset comprising 80,654 hand-annotated examples of natural language questions and corresponding SQL queries across 24,241 tables from Wikipedia.
+
+**Usage**
+```
+import datasets
+
+# Download the dataset
+queries = datasets.load_dataset("embedding-benchmark/MBPP", "queries")
+documents = datasets.load_dataset("embedding-benchmark/MBPP", "corpus")
+pair_labels = datasets.load_dataset("embedding-benchmark/MBPP", "default")
+```