Refactor conversion script
Browse files- convert_datasets_to_json.py +35 -28
convert_datasets_to_json.py
CHANGED
@@ -10,10 +10,16 @@ def convert(dataset_id: str):
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dataset_name = dataset_id.split("/")[-1]
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configs = get_dataset_config_names(dataset_id)
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skipped_validation = []
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for config in configs:
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typer.echo(dataset_id)
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-
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datasets_to_convert = DatasetDict()
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for split, dataset in raw_datasets.items():
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@@ -45,46 +51,47 @@ def convert(dataset_id: str):
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df[columns_to_keep].to_json(f"{reference_name}.json", orient="records")
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typer.echo(f"Skipped validation for {skipped_validation}")
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def validate_columns(dataset: Dataset):
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-
ref_columns = ["gem_id", "
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columns = dataset.column_names
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return set(ref_columns) - set(columns)
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@app.command()
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-
def
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all_datasets = list_datasets()
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# Filter for GEM datasets
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gem_datasets = [dataset for dataset in all_datasets if dataset.id.startswith("GEM/")]
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# Filter for blocklist - currently exclude all datasets not found on GitHUb release
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blocklist = [
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"ART",
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"mlb_data_to_text",
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"OrangeSum",
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"split_and_rephrase",
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"wiki_cat_sum",
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"viggo",
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"CrossWOZ",
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"RiSAWOZ",
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"indonlg",
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"squad_v2",
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"BiSECT",
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"surface_realisation_st_2020",
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"SciDuet",
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"cochrane-simplification",
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"turku_paraphrase_corpus",
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"turku_hockey_data2text",
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"sportsett_basketball",
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"Taskmaster",
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"wiki_lingua",
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"SIMPITIKI",
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"conversational_weather",
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"RotoWire_English-German",
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"dstc10_track2_task2",
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"opusparcus",
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"xlsum",
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"wiki_auto_asset_turk", # Can't be loaded
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"references", # This repo, so exclude!
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]
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dataset_name = dataset_id.split("/")[-1]
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configs = get_dataset_config_names(dataset_id)
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skipped_validation = []
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+
load_errors = []
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for config in configs:
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typer.echo(dataset_id)
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try:
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raw_datasets = load_dataset(dataset_id, name=config)
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except:
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typer.echo(f"Failed to load {dataset_id}")
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load_errors.append(f"{dataset_id}/{config}")
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continue
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datasets_to_convert = DatasetDict()
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for split, dataset in raw_datasets.items():
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df[columns_to_keep].to_json(f"{reference_name}.json", orient="records")
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typer.echo(f"Skipped validation for {skipped_validation}")
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typer.echo(f"Load errors: {load_errors}")
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def validate_columns(dataset: Dataset):
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ref_columns = ["gem_id", "target", "references"]
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columns = dataset.column_names
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return set(ref_columns) - set(columns)
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@app.command()
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def extract_evaluation_datasets():
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all_datasets = list_datasets()
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# Filter for GEM datasets
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gem_datasets = [dataset for dataset in all_datasets if dataset.id.startswith("GEM/")]
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# Filter for blocklist - currently exclude all datasets not found on GitHUb release
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blocklist = [
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# "ART",
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# "mlb_data_to_text",
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# "OrangeSum",
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# "split_and_rephrase",
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# "wiki_cat_sum",
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# "viggo",
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# "CrossWOZ",
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# "RiSAWOZ",
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# "indonlg",
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# "squad_v2",
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# "BiSECT",
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# "surface_realisation_st_2020",
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# "SciDuet",
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# "cochrane-simplification",
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# "turku_paraphrase_corpus",
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# "turku_hockey_data2text",
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# "sportsett_basketball",
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# "Taskmaster",
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# "wiki_lingua",
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# "SIMPITIKI",
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# "conversational_weather",
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# "RotoWire_English-German",
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# "dstc10_track2_task2",
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# "opusparcus",
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# "xlsum",
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"wiki_auto_asset_turk", # Can't be loaded
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"references", # This repo, so exclude!
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]
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