dataset info

README.md

@@ -0,0 +1,16 @@
+---
+dataset_info:
+  features:
+  - name: title
+    dtype: string
+  - name: text
+    dtype: string
+  - name: source
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 2737612
+    num_examples: 5000
+  download_size: 0
+  dataset_size: 2737612
+---

dataset.py

@@ -1,7 +1,7 @@
 import json
 import datasets
 
-class MNLPDataset(datasets.GeneratorBasedBuilder):
+class MNLP_M2_rag_documents(datasets.GeneratorBasedBuilder):
     def _info(self):
         return datasets.DatasetInfo(
             features=datasets.Features({
@@ -13,11 +13,10 @@ class MNLPDataset(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        path = dl_manager.download_and_extract("wiki_rag_subset_with_source.jsonl")
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": path},
+                gen_kwargs={"filepath": "wiki_rag_subset_with_source.jsonl"},
             )
         ]
 

dataset_infos.json

@@ -2,24 +2,15 @@
   "default": {
     "description": "RAG documents for MNLP",
     "features": {
-      "title": {
-        "_type": "Value",
-        "dtype": "string"
-      },
-      "text": {
-        "_type": "Value",
-        "dtype": "string"
-      },
-      "source": {
-        "_type": "Value",
-        "dtype": "string"
-      }
+      "title":   { "_type": "Value", "dtype": "string" },
+      "text":    { "_type": "Value", "dtype": "string" },
+      "source":  { "_type": "Value", "dtype": "string" }
     },
     "splits": {
       "train": {
         "name": "train",
-        "num_bytes": 0,  
-        "num_examples": 5000  
+        "num_bytes": 2737612,
+        "num_examples": 5000
       }
     }
   }