Refactor
Browse files- conversion_errors.csv +0 -45
- convert_datasets_to_json.py +0 -107
- generate_evaluation_datasets.py +1 -0
conversion_errors.csv
DELETED
@@ -1,45 +0,0 @@
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dataset_name,config,split,error_type,missing_columns
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GEM/RotoWire_English-German,default,test,missing_columns,"{'references', 'target'}"
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GEM/conversational_weather,default,test,missing_columns,"{'references', 'target'}"
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GEM/conversational_weather,challenge,disc_test,missing_columns,"{'references', 'target'}"
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GEM/conversational_weather,challenge,disc_test_freq_0,missing_columns,"{'references', 'target'}"
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GEM/conversational_weather,challenge,disc_test_freq_1,missing_columns,"{'references', 'target'}"
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GEM/conversational_weather,challenge,disc_test_freq_2,missing_columns,"{'references', 'target'}"
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GEM/conversational_weather,challenge,disc_test_freq_3,missing_columns,"{'references', 'target'}"
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GEM/conversational_weather,challenge,dial_test_freq_1,missing_columns,"{'references', 'target'}"
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GEM/conversational_weather,challenge,dial_test_freq_2,missing_columns,"{'references', 'target'}"
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GEM/conversational_weather,challenge,dial_test_freq_3,missing_columns,"{'references', 'target'}"
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GEM/conversational_weather,challenge,dial_test_freq_4,missing_columns,"{'references', 'target'}"
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GEM/conversational_weather,challenge,dial_test_freq_5,missing_columns,"{'references', 'target'}"
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GEM/dstc10_track2_task2,generation,test,missing_columns,"{'references', 'target'}"
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GEM/indonlg,,,config,
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GEM/sportsett_basketball,default,test,missing_columns,"{'references', 'target'}"
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GEM/squad_v2,gem_data_split,test,missing_columns,"{'references', 'target'}"
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GEM/surface_realisation_st_2020,GEM--surface_realisation_st_2020,test,missing_columns,{'references'}
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GEM/turku_hockey_data2text,main,test,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,test,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,challenge_test_abstractivity_0,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,challenge_test_abstractivity_1,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,challenge_test_abstractivity_2,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,challenge_test_abstractivity_3,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,challenge_test_abstractivity_4,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,challenge_test_abstractivity_5,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,challenge_test_abstractivity_6,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,challenge_test_abstractivity_7,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,challenge_test_abstractivity_8,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,challenge_test_topic_diversity_0,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,challenge_test_topic_diversity_1,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,challenge_test_topic_diversity_2,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,challenge_test_topic_diversity_3,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,challenge_test_topic_diversity_4,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,challenge_test_topic_diversity_5,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,challenge_test_topic_diversity_6,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,challenge_test_topic_diversity_7,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,animal,challenge_test_topic_diversity_8,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,company,test,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,company,challenge_test_abstractivity_0,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,company,challenge_test_abstractivity_1,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,company,challenge_test_abstractivity_2,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,company,challenge_test_abstractivity_3,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,company,challenge_test_abstractivity_4,missing_columns,"{'references', 'target'}"
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GEM/wiki_cat_sum,company,challenge_test_abstract
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convert_datasets_to_json.py
DELETED
@@ -1,107 +0,0 @@
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import typer
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from datasets import (Dataset, DatasetDict, get_dataset_config_names,
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load_dataset)
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from huggingface_hub import list_datasets
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app = typer.Typer()
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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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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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if split not in ["train", "validation"]:
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datasets_to_convert[split] = dataset
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for split, dataset in datasets_to_convert.items():
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columns_to_keep = ["gem_id", "gem_parent_id", "target", "references"]
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remainder_cols = validate_columns(dataset)
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if len(remainder_cols) > 0:
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typer.echo(
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f"⚠️ Skipping {dataset_name}/{config}/{split} due to missing columns: {', '.join(remainder_cols)}"
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)
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skipped_validation.append(f"{dataset_name}/{config}/{split}")
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else:
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# Add `input` column if it exists
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if "input" in dataset.column_names:
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columns_to_keep.append("input")
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# The test split doesn't have a parent ID
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if split == "test":
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columns_to_keep.remove("gem_parent_id")
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# The `datasets` JSON serializer is buggy - use `pandas` for now
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df = dataset.to_pandas()
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# Exclude dummy config names for comparison with GitHub source dataset
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if config in ["default", "xsum", "totto"]:
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reference_name = f"{dataset_name}_{split}"
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else:
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reference_name = f"{dataset_name}_{config}_{split}"
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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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blocklist = ["GEM/" + dataset for dataset in blocklist]
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gem_datasets = [dataset for dataset in gem_datasets if dataset.id not in blocklist]
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for dataset in gem_datasets:
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typer.echo(f"Converting {dataset.id} ...")
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convert(dataset.id)
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typer.echo(f"🥳 All datasets converted!")
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if __name__ == "__main__":
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app()
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generate_evaluation_datasets.py
CHANGED
@@ -69,6 +69,7 @@ def validate_columns(dataset: Dataset):
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@app.command()
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def extract_evaluation_datasets():
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errors = []
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all_datasets = list_datasets()
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# Filter for GEM datasets
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@app.command()
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def extract_evaluation_datasets():
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# TODO: add flag to skip existing datasets
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errors = []
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all_datasets = list_datasets()
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# Filter for GEM datasets
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