Upload folder using huggingface_hub

README.md

@@ -0,0 +1,57 @@
+---
+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
+---
+
+- The corpus set consists of the legal documents.
+- The query set includes questions pertaining to legal documents.
+
+**Usage**
+```
+import datasets
+
+# Download the dataset
+queries = datasets.load_dataset("embedding-benchmark/ChatDoctor_HealthCareMagic", "queries")
+documents = datasets.load_dataset("embedding-benchmark/ChatDoctor_HealthCareMagic", "corpus")
+pair_labels = datasets.load_dataset("embedding-benchmark/ChatDoctor_HealthCareMagic", "default")
+```