def sidebar_selection()

in utils/gradio_utils.py [0:0]

• 47 lines of code
• 11 McCabe index (conditional complexity)

def sidebar_selection(ds_name_to_dict, column_id=""):
    ds_names = list(ds_name_to_dict.keys())
    with gr.Accordion(f"Choose dataset and field {column_id}", open=True):
        subheader()
        # choose a dataset to analyze
        ds_name = gr.Dropdown(
            label=f"Choose dataset to explore{column_id}:",
            choices=ds_names,
            value="hate_speech18",
        )
        # choose a config to analyze
        ds_configs = ds_name_to_dict[ds_name.value]
        # special handling for the largest-by-far dataset, C4
        if ds_name == "c4":
            config_names = ['en', 'en.noblocklist', 'realnewslike']
        else:
            config_names = list(ds_configs.keys())
        config_name = gr.Dropdown(
            label=f"Choose configuration{column_id}:",
            choices=config_names,
            value=config_names[0],
        )
        # choose a subset of num_examples
        ds_config = ds_configs[config_name.value]
        text_features = ds_config[HF_FEATURE_FIELD]["string"]
        # TODO @yacine: Explain what this is doing and why eg tp[0] could = "id"
        text = f"Which text feature from the {column_id} dataset would you like to analyze?"
        choices = [('text',)] if ds_name == "c4" else [tp for tp in text_features if tp[0] != "id"]
        text_field = gr.Dropdown(
            label=text,
            choices=[str(f) for f in choices],
            value=str(choices[0])
        )
        # Choose a split and dataset size
        avail_splits = list(ds_config["splits"].keys())
        # 12.Nov note: Removing "test" because those should not be examined
        # without discussion of pros and cons, which we haven't done yet.
        if "test" in avail_splits:
            avail_splits.remove("test")
        split = gr.Dropdown(
            label=f"Which split from the{column_id} dataset would you like to analyze?",
            choices=avail_splits,
            value=avail_splits[0],
        )
        label_field, label_names = get_label_names(ds_name.value, config_name.value, ds_name_to_dict)
        calculate_btn = gr.Button(value="Calculate", variant="primary")
        return {
            "dset_name": ds_name,
            "dset_config": config_name,
            "split_name": split,
            "text_field": text_field,
            "label_field": label_field,
            "label_names": label_names,
            "calculate_btn": calculate_btn
        }