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.gitattributes

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README.md

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-## Overview
-
-Original dataset available [here](https://github.com/sheng-z/JOCI/tree/master/data). 
-This dataset is the "full" JOCI dataset, which is the file named `joci.csv.zip`.
-
-
-# Dataset curation
-The following processing is applied,
-
-- `label` column renamed to `original_label`
-- creation of the `label` column using the following mapping, using common practices ([1](https://github.com/rabeehk/robust-nli/blob/c32ff958d4df68ac2fad9bf990f70d30eab9f297/data/scripts/joci.py#L22-L27), [2](https://github.com/azpoliak/hypothesis-only-NLI/blob/b045230437b5ba74b9928ca2bac5e21ae57876b9/data/convert_joci.py#L7-L12))
-
-```
-{
-    0: "contradiction", 
-    1: "contradiction",  
-    2: "neutral",
-    3: "neutral",
-    4: "neutral",
-    5: "entailment",
-}
-```
-
-- finally, converting this to the usual NLI classes, that is `{"entailment": 0, "neutral": 1, "contradiction": 2}`
-
-
-## Code to create dataset
-```python
-import pandas as pd
-from datasets import Features, Value, ClassLabel, Dataset
-
-
-# read data
-df = pd.read_csv("<path to folder>/joci.csv")
-
-# column name to lower
-df.columns = df.columns.str.lower()
-
-# rename label column
-df = df.rename(columns={"label": "original_label"})
-
-# encode labels
-df["label"] = df["original_label"].map({
-    0: "contradiction", 
-    1: "contradiction",  
-    2: "neutral",
-    3: "neutral",
-    4: "neutral",
-    5: "entailment",
-})
-
-# encode labels
-df["label"] = df["label"].map({"entailment": 0, "neutral": 1, "contradiction": 2})
-
-# cast to dataset
-features = Features({
-    "context": Value(dtype="string"),
-    "hypothesis": Value(dtype="string"),
-    "label": ClassLabel(num_classes=3, names=["entailment", "neutral", "contradiction"]),
-    "original_label": Value(dtype="int32"),
-    "context_from": Value(dtype="string"),
-    "hypothesis_from": Value(dtype="string"),
-    "subset": Value(dtype="string"),
-})
-ds = Dataset.from_pandas(df, features=features)
-ds.push_to_hub("joci", token="<token>")
-```

dataset_infos.json

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