Update README.md

README.md

@@ -75,13 +75,16 @@ This dataset is taken from `marcel-gohsen/dstc3` and formatted with our [AutoInt
 ```python
 from datasets import load_dataset
 from autointent import Dataset
+from autointent.context.data_handler import split_dataset
 
 # load original data
 dstc3 = load_dataset("marcel-gohsen/dstc3")
 
 # extract intent names
 dstc3["test"] = dstc3["test"].filter(lambda example: example["transcript"] != "")
-intent_names = sorted(set(name for intents in dstc3["test"]["intent"] for name in intents))
+intent_names = sorted(
+    set(name for intents in dstc3["test"]["intent"] for name in intents)
+)
 intent_names.remove("reqmore")
 dstc3["test"].filter(lambda example: "reqmore" in example["intent"])
 name_to_id = {name: i for i, name in enumerate(intent_names)}
@@ -90,20 +93,23 @@ name_to_id = {name: i for i, name in enumerate(intent_names)}
 def transform(example: dict):
     return {
         "utterance": example["transcript"],
-        "label": [name_to_id[intent_name] for intent_name in example["intent"] if intent_name != "reqmore"],
+        "label": [int(name in example["intent"]) for name in intent_names],
     }
-dstc_converted = dstc3["test"].map(transform, remove_columns=dstc3["test"].features.keys())
+dstc_converted = dstc3["test"].map(
+    transform, remove_columns=dstc3["test"].features.keys()
+)
 
 # format to autointent.Dataset
 intents = [{"id": i, "name": name} for i, name in enumerate(intent_names)]
 utterances = []
-oos_utterances = []
 for rec in dstc_converted.to_list():
-    if len(rec["label"]) == 0:
+    if sum(rec["label"]) == 0:
         rec.pop("label")
-        oos_utterances.append(rec["utterance"])
     else:
         utterances.append(rec)
-oos_records = [{"utterance": ut} for ut in set(oos_utterances)]
-dstc_converted = Dataset.from_dict({"intents": intents, "train": utterances + oos_records})
+
+dstc_converted = Dataset.from_dict({"intents": intents, "train": utterances})
+dstc_converted["train"], dstc_converted["test"] = split_dataset(
+    dstc_converted, split="train", test_size=0.2, random_seed=42
+)
 ```