Add cluewsc2020 merging script

raw_data/merge_clue_cluewsc2020.py

@@ -0,0 +1,136 @@
+"""
+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")