Refactor

conversion_errors.csv

@@ -1,45 +0,0 @@
-dataset_name,config,split,error_type,missing_columns
-GEM/RotoWire_English-German,default,test,missing_columns,"{'references', 'target'}"
-GEM/conversational_weather,default,test,missing_columns,"{'references', 'target'}"
-GEM/conversational_weather,challenge,disc_test,missing_columns,"{'references', 'target'}"
-GEM/conversational_weather,challenge,disc_test_freq_0,missing_columns,"{'references', 'target'}"
-GEM/conversational_weather,challenge,disc_test_freq_1,missing_columns,"{'references', 'target'}"
-GEM/conversational_weather,challenge,disc_test_freq_2,missing_columns,"{'references', 'target'}"
-GEM/conversational_weather,challenge,disc_test_freq_3,missing_columns,"{'references', 'target'}"
-GEM/conversational_weather,challenge,dial_test_freq_1,missing_columns,"{'references', 'target'}"
-GEM/conversational_weather,challenge,dial_test_freq_2,missing_columns,"{'references', 'target'}"
-GEM/conversational_weather,challenge,dial_test_freq_3,missing_columns,"{'references', 'target'}"
-GEM/conversational_weather,challenge,dial_test_freq_4,missing_columns,"{'references', 'target'}"
-GEM/conversational_weather,challenge,dial_test_freq_5,missing_columns,"{'references', 'target'}"
-GEM/dstc10_track2_task2,generation,test,missing_columns,"{'references', 'target'}"
-GEM/indonlg,,,config,
-GEM/sportsett_basketball,default,test,missing_columns,"{'references', 'target'}"
-GEM/squad_v2,gem_data_split,test,missing_columns,"{'references', 'target'}"
-GEM/surface_realisation_st_2020,GEM--surface_realisation_st_2020,test,missing_columns,{'references'}
-GEM/turku_hockey_data2text,main,test,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,test,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,challenge_test_abstractivity_0,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,challenge_test_abstractivity_1,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,challenge_test_abstractivity_2,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,challenge_test_abstractivity_3,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,challenge_test_abstractivity_4,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,challenge_test_abstractivity_5,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,challenge_test_abstractivity_6,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,challenge_test_abstractivity_7,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,challenge_test_abstractivity_8,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,challenge_test_topic_diversity_0,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,challenge_test_topic_diversity_1,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,challenge_test_topic_diversity_2,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,challenge_test_topic_diversity_3,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,challenge_test_topic_diversity_4,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,challenge_test_topic_diversity_5,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,challenge_test_topic_diversity_6,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,challenge_test_topic_diversity_7,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,animal,challenge_test_topic_diversity_8,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,company,test,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,company,challenge_test_abstractivity_0,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,company,challenge_test_abstractivity_1,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,company,challenge_test_abstractivity_2,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,company,challenge_test_abstractivity_3,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,company,challenge_test_abstractivity_4,missing_columns,"{'references', 'target'}"
-GEM/wiki_cat_sum,company,challenge_test_abstract

convert_datasets_to_json.py

@@ -1,107 +0,0 @@
-import typer
-from datasets import (Dataset, DatasetDict, get_dataset_config_names,
-                      load_dataset)
-from huggingface_hub import list_datasets
-
-app = typer.Typer()
-
-
-def convert(dataset_id: str):
-    dataset_name = dataset_id.split("/")[-1]
-    configs = get_dataset_config_names(dataset_id)
-    skipped_validation = []
-    load_errors = []
-
-    for config in configs:
-        typer.echo(dataset_id)
-        try:
-            raw_datasets = load_dataset(dataset_id, name=config)
-        except:
-            typer.echo(f"Failed to load {dataset_id}")
-            load_errors.append(f"{dataset_id}/{config}")
-            continue
-        datasets_to_convert = DatasetDict()
-
-        for split, dataset in raw_datasets.items():
-            if split not in ["train", "validation"]:
-                datasets_to_convert[split] = dataset
-
-        for split, dataset in datasets_to_convert.items():
-            columns_to_keep = ["gem_id", "gem_parent_id", "target", "references"]
-            remainder_cols = validate_columns(dataset)
-            if len(remainder_cols) > 0:
-                typer.echo(
-                    f"⚠️ Skipping {dataset_name}/{config}/{split} due to missing columns: {', '.join(remainder_cols)}"
-                )
-                skipped_validation.append(f"{dataset_name}/{config}/{split}")
-            else:
-                # Add `input` column if it exists
-                if "input" in dataset.column_names:
-                    columns_to_keep.append("input")
-                # The test split doesn't have a parent ID
-                if split == "test":
-                    columns_to_keep.remove("gem_parent_id")
-                # The `datasets` JSON serializer is buggy - use `pandas` for now
-                df = dataset.to_pandas()
-                # Exclude dummy config names for comparison with GitHub source dataset
-                if config in ["default", "xsum", "totto"]:
-                    reference_name = f"{dataset_name}_{split}"
-                else:
-                    reference_name = f"{dataset_name}_{config}_{split}"
-                df[columns_to_keep].to_json(f"{reference_name}.json", orient="records")
-
-    typer.echo(f"Skipped validation for {skipped_validation}")
-    typer.echo(f"Load errors: {load_errors}")
-
-
-def validate_columns(dataset: Dataset):
-    ref_columns = ["gem_id", "target", "references"]
-    columns = dataset.column_names
-    return set(ref_columns) - set(columns)
-
-
-@app.command()
-def extract_evaluation_datasets():
-    all_datasets = list_datasets()
-    # Filter for GEM datasets
-    gem_datasets = [dataset for dataset in all_datasets if dataset.id.startswith("GEM/")]
-    # Filter for blocklist - currently exclude all datasets not found on GitHUb release
-    blocklist = [
-        # "ART",
-        # "mlb_data_to_text",
-        # "OrangeSum",
-        # "split_and_rephrase",
-        # "wiki_cat_sum",
-        # "viggo",
-        # "CrossWOZ",
-        # "RiSAWOZ",
-        # "indonlg",
-        # "squad_v2",
-        # "BiSECT",
-        # "surface_realisation_st_2020",
-        # "SciDuet",
-        # "cochrane-simplification",
-        # "turku_paraphrase_corpus",
-        # "turku_hockey_data2text",
-        # "sportsett_basketball",
-        # "Taskmaster",
-        # "wiki_lingua",
-        # "SIMPITIKI",
-        # "conversational_weather",
-        # "RotoWire_English-German",
-        # "dstc10_track2_task2",
-        # "opusparcus",
-        # "xlsum",
-        "wiki_auto_asset_turk",  # Can't be loaded
-        "references",  # This repo, so exclude!
-    ]
-    blocklist = ["GEM/" + dataset for dataset in blocklist]
-    gem_datasets = [dataset for dataset in gem_datasets if dataset.id not in blocklist]
-    for dataset in gem_datasets:
-        typer.echo(f"Converting {dataset.id} ...")
-        convert(dataset.id)
-    typer.echo(f"🥳 All datasets converted!")
-
-
-if __name__ == "__main__":
-    app()

generate_evaluation_datasets.py

@@ -69,6 +69,7 @@ def validate_columns(dataset: Dataset):
 
 @app.command()
 def extract_evaluation_datasets():
+    # TODO: add flag to skip existing datasets
     errors = []
     all_datasets = list_datasets()
     # Filter for GEM datasets