Delete loading script auxiliary file

raw_data/merge_clue_cluewsc2020.py

@@ -1,136 +0,0 @@
-"""
-Adds clue/cluewsc2020 samples to xwinograd
-From: https://gist.github.com/jordiclive/26506ea7e897ad8270f9e793bdc285b5
-"""
-
-import json
-
-import datasets
-import pandas as pd
-from datasets import load_dataset
-
-
-def find_pronoun(x):
-    pronoun = x["target"]["span2_text"]
-    indices = [x["target"]["span2_index"], x["target"]["span2_index"] + len(pronoun)]
-    return [pronoun, indices, list(pronoun)]
-
-
-def find_switch(x):
-    pronoun = x["target"]["span1_text"]
-    indices = [x["target"]["span1_index"], x["target"]["span1_index"] + len(pronoun)]
-    if x["label"] == 1:
-        label = False
-    else:
-        label = True
-    return [pronoun, indices, list(pronoun), label]
-
-
-def convert_to_format(df):
-
-    df["pronoun"] = df.apply(find_pronoun, axis=1)
-
-    df["toks"] = df["text"].apply(lambda x: list(x))
-
-    df["switch"] = df.apply(find_switch, axis=1)
-    df.reset_index(inplace=True, drop=True)
-
-    lang = []
-    original = []
-    o_text = []
-    sent = []
-    toks = []
-    pronoun = []
-    switch = []
-    df["pronoun_to_replace"] = df["target"].apply(lambda x: x["span2_text"])
-    for i, df_text in df.groupby(["text", "pronoun_to_replace"]):
-        if len(df_text) == 1:
-            continue
-        df_text.reset_index(inplace=True, drop=True)
-        try:
-            if df_text["label"][0] != df_text["label"][1]:
-                df_text = df_text[:2]
-            elif df_text["label"][0] != df_text["label"][2] and len(df_text) > 2:
-                df_text = df_text.iloc[[0, 2], :]
-                df_text.reset_index(inplace=True, drop=True)
-            df_new = df_text[:1]
-            df_new["switch"] = df_new["switch"].apply(
-                lambda x: [df_text["switch"][0], df_text["switch"][1]]
-            )
-
-            lang.append("zh")
-            original.append("original")
-            o_text.append("?")
-            sent.append(df_new.iloc[0]["text"])
-            toks.append(df_new.iloc[0]["toks"])
-            pronoun.append(df_new.iloc[0]["pronoun"])
-            switch.append(df_new.iloc[0]["switch"])
-
-        except:
-            continue
-
-    total_df = pd.DataFrame(
-        {0: lang, 1: original, 2: o_text, 3: sent, 4: toks, 5: pronoun, 6: switch}
-    )
-    count = total_df[5].apply(lambda x: len(x[0]))
-    total_df[4] = total_df[4].apply(lambda x: json.dumps(x))
-    total_df[5] = total_df[5].apply(lambda x: json.dumps(x))
-    total_df[6] = total_df[6].apply(lambda x: json.dumps(x))
-    return total_df, count
-
-
-def remove_at(i, s):
-    return s[:i] + s[i + 1 :]
-
-
-def remove_to(x):
-    if x["count"] == 2:
-        return remove_at(x["sentence"].index("_") + 1, x["sentence"])
-    else:
-        return x["sentence"]
-
-
-def get_original_splits():
-    # xwinograd directory is https://huggingface.co/datasets/Muennighoff/xwinograd/tree/9dbcc59f86f9e53e0b36480d806982499d877edc
-
-    for j, i in enumerate(["en", "jp", "ru", "pt", "fr", "zh"]):
-        if j == 0:
-            dfx = datasets.load_dataset("xwinograd", i)["test"].to_pandas()
-            dfx["lang"] = i
-        else:
-            df = datasets.load_dataset("xwinograd", i)["test"].to_pandas()
-            df["lang"] = i
-            dfx = pd.concat([dfx, df])
-    return dfx
-
-
-def get_examples_from_clue():
-    # xwinograd directory is commit: https://huggingface.co/datasets/Muennighoff/xwinograd/tree/9dbcc59f86f9e53e0b36480d806982499d877edc
-
-    dataset = load_dataset("clue", "cluewsc2020")
-    df = dataset["train"].to_pandas()
-    df_val = dataset["validation"].to_pandas()
-    df = pd.concat([df, df_val])
-    new_examples, count = convert_to_format(df)
-    new_examples.reset_index(inplace=True, drop=True)
-    new_examples.to_csv(
-        "xwinograd/data/xwinograd.tsv", sep="\t", header=None, index=False
-    )
-    df_post = datasets.load_dataset("xwinograd", "zh")
-    df_post = df_post["test"].to_pandas()
-    df_post["count"] = count
-    df_post["sentence"] = df_post.apply(remove_to, axis=1)
-    df_post = df_post[["sentence", "option1", "option2", "answer"]]
-    return df_post
-
-
-if __name__ == "__main__":
-    # xwinograd directory is commit: https://huggingface.co/datasets/Muennighoff/xwinograd/tree/9dbcc59f86f9e53e0b36480d806982499d877edc
-    dfx = get_original_splits()
-    df_post = get_examples_from_clue()
-    df_post.to_json("new_examples_updated.json", orient="split")
-    df_post["lang"] = "zh"
-    dfx = pd.concat([dfx, df_post])
-    dfx.drop_duplicates()
-    dfx.reset_index(inplace=True, drop=True)
-    dfx.to_json("all_examples_updated.json", orient="split")