Datasets:
metadata
task_categories:
- question-answering
language:
- zh
tags:
- art
- humor
size_categories:
- 10K<n<100K
Note
预处理方式
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.