Upload dataset_infos.json

dataset_infos.json

@@ -0,0 +1,57 @@
+{
+  "default": {
+    "description": "AfriSenti is the largest sentiment analysis benchmark for under-represented languages---covering 110,000+ annotated tweets in 14 African languages (Amharic, Algerian Arabic, Hausa, Igbo, Kinyarwanda, Moroccan Arabic, Mozambican Portuguese, Nigerian Pidgin, Oromo, Swahili, Tigrinya, Twi, Xitsonga, and Yoruba) from four language families (Afro-Asiatic, English Creole, Indo-European and Niger-Congo).\n",
+    "citation": " ",
+    "homepage": "https://github.com/afrisenti-semeval/afrisent-semeval-2023",
+    "license": "",
+    "features": {
+      "text": {
+        "dtype": "string",
+        "id": null,
+        "_type": "Value"
+      },
+      "label": {
+        "num_classes": 3,
+        "names": [
+          "positive",
+          "negative",
+          "neutral"
+        ],
+        "names_file": null,
+        "id": null,
+        "_type": "ClassLabel"
+      }
+    },
+    "post_processed": null,
+    "supervised_keys": {
+      "input": "text",
+      "output": "label"
+    },
+    "task_templates": [
+      {
+        "task": "text-classification",
+        "text_column": "text",
+        "label_column": "label",
+        "labels": [
+          "positive",
+          "negative",
+          "neutral"
+        ]
+      }
+    ],
+    "builder_name": "AfriSenti",
+    "config_name": "default",
+    "version": {
+      "version_str": "0.0.0",
+      "description": null,
+      "major": 0,
+      "minor": 0,
+      "patch": 0
+  
+    },
+    "download_size": 2069616,
+    "post_processing_size": null,
+    "dataset_size": 2173417,
+    "size_in_bytes": 4243033
+  }
+}