metadata

README.md

@@ -30,7 +30,7 @@ dataset_info:
 train-eval-index:
   - config: default           # The dataset config name to use. Example for datasets without configs: default. Example for glue: sst2
     task: text-classification               # The task category name (same as task_category). Example: question-answering
-#    task_id: binary-classification            # The AutoTrain task id. Example: extractive_question_answering
+    task_id: binary_classification            # The AutoTrain task id. Example: extractive_question_answering
     splits:
       #train_split: train            # The split to use for training. Example: train
       eval_split: train        # The split to use for evaluation. Example: test
@@ -41,8 +41,8 @@ train-eval-index:
       # answers:
       #   text: text
       #   answer_start: answer_start
-      text: Disassembly
-      target: Type
+      Disassembly: text
+      Type: target
     metrics:
       - type: accuracy         # The metric id. Example: wer. Use metric id from https://hf.co/metrics
         name: accuracy         # Tne metric name to be displayed. Example: Test WER