Create README.md

README.md

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+## Overview
+Original dataset available [here](https://gluebenchmark.com/diagnostics).
+
+
+## Dataset curation
+Only filled in the empty rows of columns "lexical semantics", "predicate-argument structure", 
+"logic", "knowledge" with empty string `""`.
+
+## Code to create dataset
+
+```python
+import pandas as pd
+from datasets import Features, Value, ClassLabel, Dataset
+
+
+df = pd.read_csv("<path to file>/diagnostic-full.tsv", sep="\t")
+
+# column names to lower
+df.columns = df.columns.str.lower()
+
+# fill na
+assert df["label"].isna().sum() == 0
+df = df.fillna("")
+
+# encode labels
+df["label"] = df["label"].map({"entailment": 0, "neutral": 1, "contradiction": 2})
+
+# cast to dataset
+features = Features({
+    "lexical semantics": Value(dtype="string", id=None),
+    "predicate-argument structure": Value(dtype="string", id=None),
+    "logic": Value(dtype="string", id=None),
+    "knowledge": Value(dtype="string", id=None),
+    "domain": Value(dtype="string", id=None),
+    "premise": Value(dtype="string", id=None),
+    "hypothesis": Value(dtype="string", id=None),
+    "label": ClassLabel(num_classes=3, names=["entailment", "neutral", "contradiction"]),
+})
+
+dataset = Dataset.from_pandas(df, features=features)
+dataset.push_to_hub("glue_diagnostics", token="<token>", split="test")
+```
+
+
+