add dataset card

README.md

@@ -42,3 +42,73 @@ configs:
   - split: intents
     path: intents/intents-*
 ---
+
+
+# banking77
+
+This is a text classification dataset. It is intended for machine learning research and experimentation.
+
+This dataset is obtained via formatting another publicly available data to be compatible with our [AutoIntent Library](https://deeppavlov.github.io/AutoIntent/index.html).
+
+## Usage
+
+It is intended to be used with our [AutoIntent Library](https://deeppavlov.github.io/AutoIntent/index.html):
+
+```python
+from autointent import Dataset
+
+dream = Dataset.from_datasets("AutoIntent/banking77")
+```
+
+## Source
+
+This dataset is taken from `PolyAI/banking77` and formatted with our [AutoIntent Library](https://deeppavlov.github.io/AutoIntent/index.html):
+
+```python
+# define utils
+import requests
+import json
+from autointent import Dataset
+from datasets import load_dataset
+
+def load_json_from_url(github_file: str):
+    raw_text = requests.get(github_file).text
+    return json.loads(raw_text)
+
+def convert_banking77(banking77_train, shots_per_intent, intent_names):
+    all_labels = sorted(banking77_train.unique("label"))
+    n_classes = len(intent_names)
+    assert all_labels == list(range(n_classes))
+
+    classwise_utterance_records = [[] for _ in range(n_classes)]
+    intents = [
+        {
+            "id": i,
+            "name": name,
+        }
+        for i, name in enumerate(intent_names)
+    ]
+
+    for b77_batch in banking77_train.iter(batch_size=16, drop_last_batch=False):
+        for txt, intent_id in zip(b77_batch["text"], b77_batch["label"], strict=False):
+            target_list = classwise_utterance_records[intent_id]
+            if shots_per_intent is not None and len(target_list) >= shots_per_intent:
+                continue
+            target_list.append({"utterance": txt, "label": intent_id})
+
+    utterances = [rec for lst in classwise_utterance_records for rec in lst]
+    return Dataset.from_dict({"intents": intents, "train": utterances})
+
+# load 
+file_url = "https://huggingface.co/datasets/PolyAI/banking77/resolve/main/dataset_infos.json"
+dataset_description = load_json_from_url(file_url)
+intent_names = dataset_description["default"]["features"]["label"]["names"]
+banking77 = load_dataset("PolyAI/banking77", trust_remote_code=True)
+
+# convert
+banking77_converted = convert_banking77(
+    banking77["train"],
+    shots_per_intent=None,
+    intent_names=intent_names
+)
+```