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--- |
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language: |
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- zh |
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tags: |
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- SongNet |
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- pytorch |
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- zh |
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- Text2Text-Generation |
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license: "apache-2.0" |
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widget: |
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- text: "丹枫江冷人初去" |
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--- |
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# SongNet for Chinese Couplet(songnet-base-chinese-couplet) Model |
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SongNet中文对联仿写模型 |
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`songnet-base-chinese-couplet` evaluate couplet test data： |
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The overall performance of SongNet on couplet **test**: |
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|input_text|predict| |
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|:--- |:--- | |
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|一句相思吟岁月</s>千杯美酒醉风情|<bos>一生只剩诗和酒</s>满腹无关雪与梅</s>| |
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在Couplet测试集上生成结果满足字数相同、词性对齐、词面对齐、形似要求，针对性的SongNet网络结构，在语义对仗工整和平仄合律上的效果明显优于T5和GPT2等模型。 |
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SongNet的网络结构： |
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## Usage |
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本项目开源在文本生成项目：[textgen](https://github.com/shibing624/textgen)，可支持SongNet模型，通过如下命令调用： |
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Install package: |
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```shell |
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pip install -U textgen |
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``` |
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```python |
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import sys |
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sys.path.append('..') |
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from textgen.language_modeling import SongNetModel |
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model = SongNetModel(model_type='songnet', model_name='songnet-base-chinese-couplet') |
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sentences = [ |
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"严蕊<s1>如梦令<s2>道是梨花不是。</s>道是杏花不是。</s>白白与红红，别是东风情味。</s>曾记。</s>曾记。</s>人在武陵微醉。", |
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"<s1><s2>一句相思吟岁月</s>千杯美酒醉风情", |
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"<s1><s2>几树梅花数竿竹</s>一潭秋水半屏山" |
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"<s1><s2>未舍东江开口咏</s>且施妙手点睛来", |
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"<s1><s2>一去二三里</s>烟村四五家", |
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] |
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print("inputs:", sentences) |
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print("outputs:", model.generate(sentences)) |
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sentences = [ |
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"<s1><s2>一句____月</s>千杯美酒__情", |
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"<s1><s2>一去二三里</s>烟村__家</s>亭台__座</s>八__枝花", |
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] |
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print("inputs:", sentences) |
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print("outputs:", model.fill_mask(sentences)) |
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``` |
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output: |
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```shell |
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inputs: ['严蕊<s1>如梦令<s2>道是梨花不是。</s>道是杏花不是。</s>白白与红红，别是东风情味。</s>曾记。</s>曾记。</s>人在武陵微醉。', '<s1><s2>一句相思吟岁月</s>千杯美酒醉风情', '<s1><s2>几树梅花数竿竹</s>一潭秋水半屏山<s1><s2>未舍东江开口咏</s>且施妙手点睛来', '<s1><s2>一去二三里</s>烟村四五家'] |
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outputs: ['<bos>盛世欣开新气象</s>春联喜绘大文章</s>春天铺锦笺，宏图更写好山山</s>新篇章</s>新篇章</s>神州高唱好年华</s>', '<bos>一曲琴音添雅韵</s>几回酒醉解愁思</s>', '<bos>三分天下隆中对</s>四面八方九派江山笔底留</s>', '<bos>春深花已老</s>夜静露方浓</s>'] |
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inputs: ['<s1><s2>一句____月</s>千杯美酒__情', '<s1><s2>一去二三里</s>烟村__家</s>亭台__座</s>八__枝花'] |
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outputs: ['<bos>一句佳诗吟盛月</s>千杯美酒祝春情</s>', '<bos>一去二三里</s>烟村百二家</s>亭台十二座</s>八里一枝花</s>'] |
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``` |
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模型文件组成： |
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``` |
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t5-chinese-couplet |
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├── pytorch_model.bin |
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└── vocab.txt |
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``` |
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### 训练数据集 |
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#### 中文对联数据集 |
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- 数据：[对联github](https://github.com/wb14123/couplet-dataset)、[清洗过的对联github](https://github.com/v-zich/couplet-clean-dataset) |
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- 相关内容 |
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- [Huggingface](https://huggingface.co/) |
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- [SongNet paper](https://aclanthology.org/2020.acl-main.68/) |
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- [textgen](https://github.com/shibing624/textgen) |
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数据格式： |
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```text |
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head -n 1 couplet_files/couplet/train/in.txt |
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晚 风 摇 树 树 还 挺 |
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head -n 1 couplet_files/couplet/train/out.txt |
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晨 露 润 花 花 更 红 |
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``` |
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如果需要训练SongNet模型，请参考[https://github.com/shibing624/textgen/blob/main/examples/language_generation/training_zh_songnet_demo.py](https://github.com/shibing624/textgen/blob/main/examples/language_generation/training_zh_songnet_demo.py) |
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## Citation |
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```latex |
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@software{textgen, |
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author = {Xu Ming}, |
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title = {textgen: Implementation of Text Generation models}, |
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year = {2022}, |
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url = {https://github.com/shibing624/textgen}, |
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} |
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``` |
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