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.gitattributes

@@ -53,3 +53,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+data/data.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

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+# Note
+
+## 预处理方式
+
+```python
+from datasets import load_dataset
+import jsonlines
+import matplotlib.pyplot as plt
+
+ds_ruozhiba = load_dataset("kirp/wisdomBar")
+
+_data = []
+for item in ds_ruozhiba["train"]:
+    instruct = item["title"] if item["detail"] is None else item["title"] + ("," if item["title"][-1] not in [",", "，","。", ".", "！", "!", "？", "?"] else "") + item["detail"]
+    if instruct:
+        _data.append(instruct)
+_data_to_dump = [[{"from": "human", "value": value}] for value in _data]
+
+with jsonlines.open('ruozhiba/ruozhiba.jsonl', mode='w') as writer:
+    writer.write_all(_data_to_dump)
+
+def string_length_distribution(strings, step=10, gate_coef=0.005):
+    distribution = {i: 0 for i in range(0, 100)}
+    for string in strings:
+        length = len(string)
+        distribution[length // step] += 1
+    distribution = {
+        f"{k*step}-{(k+1)*step}": v for k, v in distribution.items() if v > gate_coef * max(distribution.values())
+    }
+    return distribution
+
+
+dist = string_length_distribution(_data)
+
+plt.bar(list(dist.keys()), list(dist.values()))
+plt.xlabel("String Length")
+plt.ylabel("Count")
+plt.title("String Length Distribution")
+plt.show()
+```
+
+注意事项:
+
+-   拼接方式不是完全合理,部分 title 是初始问题或者梗,detail 部分是答案,部分是梗的进一步补充(语义上并列的同义表述/进一步的阐述),因此需要根据实际情况进行调整.
+-   当前暂不对所属细分的处理方式单独处理,统一将拼接后的内容作为 human 的输入.

data/data.jsonl

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+size 13655939