Add 'machine_learning' config data files

README.md

@@ -1204,6 +1204,8 @@ dataset_info:
   features:
   - name: question
     dtype: string
+  - name: subject
+    dtype: string
   - name: choices
     sequence: string
   - name: answer
@@ -1216,19 +1218,19 @@ dataset_info:
           '3': D
   splits:
   - name: auxiliary_train
-    num_bytes: 160601377
+    num_bytes: 161000625
     num_examples: 99842
   - name: test
-    num_bytes: 33880
+    num_bytes: 36108
     num_examples: 112
   - name: validation
-    num_bytes: 3232
+    num_bytes: 3440
     num_examples: 11
   - name: dev
-    num_bytes: 2323
+    num_bytes: 2411
     num_examples: 5
-  download_size: 166184960
-  dataset_size: 160640812
+  download_size: 47192772
+  dataset_size: 161042584
 - config_name: management
   features:
   - name: question
@@ -2161,6 +2163,16 @@ configs:
     path: logical_fallacies/validation-*
   - split: dev
     path: logical_fallacies/dev-*
+- config_name: machine_learning
+  data_files:
+  - split: auxiliary_train
+    path: machine_learning/auxiliary_train-*
+  - split: test
+    path: machine_learning/test-*
+  - split: validation
+    path: machine_learning/validation-*
+  - split: dev
+    path: machine_learning/dev-*
 ---
 
 # Dataset Card for MMLU

dataset_infos.json

@@ -2597,39 +2597,34 @@
         "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": "machine_learning",
         "version": {
             "version_str": "1.0.0",
-            "description": null,
             "major": 1,
             "minor": 0,
             "patch": 0
@@ -2637,39 +2632,32 @@
         "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": 33868,
+                "num_bytes": 36108,
                 "num_examples": 112,
-                "dataset_name": "mmlu"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 3220,
+                "num_bytes": 3440,
                 "num_examples": 11,
-                "dataset_name": "mmlu"
+                "dataset_name": null
             },
             "dev": {
                 "name": "dev",
-                "num_bytes": 2311,
+                "num_bytes": 2411,
                 "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": 160640656,
-        "size_in_bytes": 326825616
+        "download_size": 47192772,
+        "dataset_size": 161042584,
+        "size_in_bytes": 208235356
     },
     "management": {
         "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",

machine_learning/auxiliary_train-00000-of-00001.parquet

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

machine_learning/dev-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8826481d03264a8eb4fcfa4f72ee32521d2b9c49660f59eaffcbaf072037defb
+size 4453

machine_learning/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1aa57fed5c9eadac5c23f9770c5ca3144610da64fd715e6efa38535ac9aa9ef3
+size 19061

machine_learning/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6061ec24ead2e3f9d9347c51a2cd7537c1427a2d6cb0eeee1f219db87ff7ca1a
+size 5303