Update README.md

README.md

@@ -25,4 +25,55 @@ configs:
 ---
 # Dataset Card for "no_robots_test400"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+This is a subset of "no_robots", selecting 400 questions from the test set.
+
+Code:
+
+```python
+import pandas as pd
+import numpy as np
+import numpy.random
+from datasets import load_dataset, Dataset
+from copy import deepcopy
+
+def get_norobot_dataset():
+    ds = load_dataset('HuggingFaceH4/no_robots')
+    all_test_data = []
+    for sample in ds['test_sft']:
+        sample: dict
+        for i, message in enumerate(sample['messages']):
+            if message['role'] == 'user':
+                item = dict(
+                    messages=deepcopy(sample['messages'][:i + 1]),
+                    category=sample['category'],
+                    prompt_id=sample['prompt_id'],
+                )
+                all_test_data.append(item)
+    return Dataset.from_list(all_test_data)
+
+
+dataset = get_norobot_dataset().to_pandas()
+dataset.groupby('category').count()
+dataset['_sort_key'] = dataset['messages'].map(str)
+dataset = dataset.sort_values(['_sort_key'])
+
+subset = []
+for category, group_df in sorted(dataset.groupby('category')):
+    n = int(len(group_df) * 0.603)
+    if n <= 20:
+        n = len(group_df)
+    indices = np.random.default_rng(seed=42).choice(len(group_df), size=n, replace=False)
+    subset.append(group_df.iloc[indices])
+
+df = pd.concat(subset)
+df = df.drop(columns=['_sort_key'])
+df = df.reset_index(drop=True)
+print(len(df))
+print(df.groupby('category').count().to_string())
+Dataset.from_pandas(df).push_to_hub('yujiepan/no_robots_test400')
+```
+
+
+