read_csv('sts_dataset.csv') 1. pd.read_csv() 函数用于读取 CSV 文件,并将其加载为一个 DataFrame 对象,便于我们进行后续的操作。 5. 预览数据 最后,为了确认数据集是否正确加载,我们可以预览数据的前几行。 AI检测代码解析 print(data.head()) 1. data.head() 方法会输出数据集的前五行,这样我们就可...
Most of the datasets are pre-existing; text similarity datasets that may be redistributed (at least for research purposes) are included. Always check the licence of a particular dataset. Some datasets may be original though, because we are working on many applied problems that pertain training su...
Semantic Text Similarity Dataset Hub. Contribute to brmson/dataset-sts development by creating an account on GitHub.
STS dataset of major parents in current breeding programs of rice (O.sativa L. subsp.in dica ) 水稻繁殖方式亲本选择MAS基因Many major genes of agricultural importance and quantitative trait loci (QTL) controlling yield components in rice have been mapped with molecular markers. The genetic ...
人工智能平台 数据集加速服务 datasetacc √ √ 自然语言处理 自学习平台 nlp-automl √ √ 自然语言处理 智能短信解析 nlp-vision √ ○ 自然语言处理 自然语言处理2.0 alinlp √ √ 自然语言处理 角色对话智能体通义星尘 xingchen √ × 人脸识别 - - × × 图像搜索 - imagesearch √ √ 机器翻译 - ali...
CTooth: a fully annotated 3d dataset and benchmark for tooth volume segmentation on cone beam computed tomography images. In Intelligent Robotics and Applications: 15th International Conference, ICIRA 2022, Harbin, China, August 1–3, 2022, Proceedings, Part IV (pp. 191-200). Cham: Springer ...
Interpretable STS Introduced by Lopez-Gazpio et al. inInterpretable Semantic Textual Similarity: Finding and explaining differences between sentences A dataset of sentence pairs annotated following the formalization. Source:Interpretable Semantic Textual Similarity: Finding and explaining differences between ...
DatasetsMTEB Translated SNLI Dataset in Marathi ASSIN ASSIN2 Most implemented papers Most implemented Social Latest No code Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks UKPLab/sentence-transformers • • IJCNLP 2019 However, it requires that both sentences are fed into the ...
import os import zipfile import requests # 假设数据集的下载链接是 'http://example.com/dataset.zip' url = 'http://example.com/dataset.zip' dataset_zip = 'dataset.zip' dataset_dir = 'dataset' # 下载数据集 response = requests.get(url, stream=True) with open(dataset_zip, 'wb') as f...
人工智能平台 数据集加速服务 datasetacc √ √ 自然语言处理 自学习平台 nlp-automl √ √ 自然语言处理 智能短信解析 nlp-vision √ ○ 自然语言处理 自然语言处理2.0 alinlp √ √ 自然语言处理 角色对话智能体通义星尘 xingchen √ × 人脸识别 - - × × 图像搜索 - imagesearch √ √ 机器翻译 - ali...