<jupyter_start><jupyter_text>Running Kosh from the Command LineSometimes you do not want to write a script to do simple queries our operation.Starting with Kosh 0.8 a `kosh` command line utility help you perform simple tasks from the promptTable of Content* [Basics](basics)* [Searching Datasets](search)* [Printing Datasets](print)* [Adding Datasets](add)* [Removing Datasets](remove)* [(Dis)Associating Files with Datasets](associate)* [Features](features)  * [Listing features](list)  * [Extracting features](extract)     BasicsTo learn available kosh commands from the command line simple type```bashkosh --help```This will print something like this:```usage: kosh  []Available commands are:            add        associate        cleanup_files        cp        dissociate        extract        fast_sha        features        mv        print        reassociate        remove        rm        search        tarExecute kosh operationspositional arguments:  command               Subcommand to runoptional arguments:  -h, --help            show this help message and exit  --store STORE, -s STORE                        Kosh store to use (default: None)  --dataset_record_type DATASET_RECORD_TYPE, -d DATASET_RECORD_TYPE                        type used by sina db that Kosh will recognize as                        dataset (default: dataset)  --version, -v         print version and exit (default: False)Kosh version 1.1.10.g189b2ef-``` Preping the notebookLet's copy a sample kosh store locally<jupyter_code>import shutil
shutil.copy("../tests/baselines/sina/data.sqlite", "cmd_line.sql")<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.07891491985203453, 'fraction_numerical': 0.006165228113440197, 'mean_word_length': 2.948905109489051, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '93325', 'license': 'MIT', 'n_tokens_mistral': 430, 'n_tokens_neox': 416, 'n_words': 157, 'path': 'docs/source/jupyter/Example_Command_Line_Kosh.ipynb', 'repo_name': 'tanimislam/kosh', 'size': '1622'}