Add 'marketing' config data files

README.md

@@ -1266,6 +1266,8 @@ dataset_info:
   features:
   - name: question
     dtype: string
+  - name: subject
+    dtype: string
   - name: choices
     sequence: string
   - name: answer
@@ -1278,19 +1280,19 @@ dataset_info:
           '3': D
   splits:
   - name: auxiliary_train
-    num_bytes: 160601377
+    num_bytes: 161000625
     num_examples: 99842
   - name: test
-    num_bytes: 63025
+    num_bytes: 66055
     num_examples: 234
   - name: validation
-    num_bytes: 7394
+    num_bytes: 7707
     num_examples: 25
   - name: dev
-    num_bytes: 1481
+    num_bytes: 1534
     num_examples: 5
-  download_size: 166184960
-  dataset_size: 160673277
+  download_size: 47211905
+  dataset_size: 161075921
 - config_name: medical_genetics
   features:
   - name: question
@@ -2185,6 +2187,16 @@ configs:
     path: management/validation-*
   - split: dev
     path: management/dev-*
+- config_name: marketing
+  data_files:
+  - split: auxiliary_train
+    path: marketing/auxiliary_train-*
+  - split: test
+    path: marketing/test-*
+  - split: validation
+    path: marketing/validation-*
+  - split: dev
+    path: marketing/dev-*
 ---
 
 # Dataset Card for MMLU

dataset_infos.json

@@ -2737,39 +2737,34 @@
         "features": {
             "question": {
                 "dtype": "string",
-                "id": null,
+                "_type": "Value"
+            },
+            "subject": {
+                "dtype": "string",
                 "_type": "Value"
             },
             "choices": {
                 "feature": {
                     "dtype": "string",
-                    "id": null,
                     "_type": "Value"
                 },
-                "length": -1,
-                "id": null,
                 "_type": "Sequence"
             },
             "answer": {
-                "num_classes": 4,
                 "names": [
                     "A",
                     "B",
                     "C",
                     "D"
                 ],
-                "id": null,
                 "_type": "ClassLabel"
             }
         },
-        "post_processed": null,
-        "supervised_keys": null,
-        "task_templates": null,
-        "builder_name": "mmlu",
+        "builder_name": "parquet",
+        "dataset_name": "mmlu",
         "config_name": "marketing",
         "version": {
             "version_str": "1.0.0",
-            "description": null,
             "major": 1,
             "minor": 0,
             "patch": 0
@@ -2777,39 +2772,32 @@
         "splits": {
             "auxiliary_train": {
                 "name": "auxiliary_train",
-                "num_bytes": 160601257,
+                "num_bytes": 161000625,
                 "num_examples": 99842,
-                "dataset_name": "mmlu"
+                "dataset_name": null
             },
             "test": {
                 "name": "test",
-                "num_bytes": 63013,
+                "num_bytes": 66055,
                 "num_examples": 234,
-                "dataset_name": "mmlu"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 7382,
+                "num_bytes": 7707,
                 "num_examples": 25,
-                "dataset_name": "mmlu"
+                "dataset_name": null
             },
             "dev": {
                 "name": "dev",
-                "num_bytes": 1469,
+                "num_bytes": 1534,
                 "num_examples": 5,
-                "dataset_name": "mmlu"
-            }
-        },
-        "download_checksums": {
-            "data.tar": {
-                "num_bytes": 166184960,
-                "checksum": "bec563ba4bac1d6aaf04141cd7d1605d7a5ca833e38f994051e818489592989b"
+                "dataset_name": null
             }
         },
-        "download_size": 166184960,
-        "post_processing_size": null,
-        "dataset_size": 160673121,
-        "size_in_bytes": 326858081
+        "download_size": 47211905,
+        "dataset_size": 161075921,
+        "size_in_bytes": 208287826
     },
     "medical_genetics": {
         "description": "This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.\n",

marketing/auxiliary_train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c2782fc860f57d9345a9233ab04f494b0af5ae85b893a27853f7014b14a3bd07
+size 47163955

marketing/dev-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e27aa228b90ca6c1a608babba1ac24628d53f10ecc9a1ff8b6a1f0131d51b260
+size 3738

marketing/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f51d8afa4082af375186991f5bbc0bb6caf799d793240209582b5efd4e1e401
+size 36632

marketing/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2a9c7448f5cb53594a23fecc457d9d38ce4f13330cd02e1beb61cde64085230a
+size 7580