基于评估集dev.csv和召回结果recall_result计算评估指标 Recall@k,其中k取值1,5,10,20,50. 运行如下命令进行 ANN 建库、召回,产出召回结果数据recall_result 也可以使用下面的bash脚本: 代码语言:txt 复制 sh scripts/run_build_index.sh run_build_index.sh还包含cpu和gpu运行的脚本,默认是gpu的脚本 代码语言:...
├── milvus# milvus建库数据集├── milvus_data.csv.# 构建召回库的数据├── recall# 召回(语义索引)数据集├── corpus.csv# 用于测试的召回库├── dev.csv# 召回验证集├── test.csv# 召回测试集├── train.csv# 召回训练集├── train_unsupervised.csv# 无监督训练集├──sort# 排序...
基于评估集 dev.csv 和召回结果 recall_result 计算评估指标 Recall@k,其中k取值1,5,10,20,50. 运行如下命令进行 ANN 建库、召回,产出召回结果数据 recall_result 也可以使用下面的bash脚本: sh scripts/run_build_index.sh run_build_index.sh还包含cpu和gpu运行的脚本,默认是gpu的脚本 !python -u -m padd...
curl -O https://zenodo.org/record/8332830/files/unconditional_generations.csv?download=1 To extract all unconditionally generated sequences created using the EvoDiff-seq oa_dm_640M model, run the following code:import pandas as pd df = pd.read_csv('unconditional_generations.csv', index_col =...
最后,我们需要把 TextGrids 收集到一个 transcriptions.csv 文件中,并把录音文件安排得和这个 CSV 文件对应。 使用如下指令创建最终数据集 In [ ] %python build_dataset.py --wavs slice_res --tg path/to/final/textgrids/ --dataset path/to/your/dataset/ # 修改path/to/your/segments/为存放数据预处理...
Gives you fine-grained control over the settings switches, without requiring any Python code. Use--confto specify that path to the configuration file. data-diff will load the settings fromrun.default, if it's defined. Then you can, optionally, use--runto choose to load the settings of a...
corpus.csv# 用于测试的召回库├── dev.csv# 召回验证集├── test.csv# 召回测试集├── train.csv# 召回训练集├── train_unsupervised.csv# 无监督训练集├──sort# 排序数据集├── test_pairwise.csv# 排序测试集├── dev_pairwise.csv# 排序验证集└── train_pairwise.csv# 排序训练...
New: Ability to detect programming language for files without supported extensions and clipboard contents New: Ability to match file structures (functions, classes, etc.) for text file comparison New: Language support for Typescript New: Language support for JSON New: Show preview of clipboard conte...
\ --params_path "/home/aistudio/simcse/checkpoint/model_24000/model_state.pdparams" \ --model_name_or_path rocketqa-zh-base-query-encoder \ --output_emb_size 256 \ --batch_size 128 \ --max_seq_length 64 \ --text_pair_file "/home/aistudio/literature_search_data/recall/test.csv" ...
The root arrays of each document are not equal because the values differ at each index. However, they are equivalent in terms of content: they have the same length the elements of the first can be found in the second, the same number of times for each ...