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.gitattributes

@@ -53,3 +53,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+train.jsonl filter=lfs diff=lfs merge=lfs -text

subsample_csfevernli.py

@@ -0,0 +1,26 @@
+from datasets import load_dataset
+import os
+import jsonlines
+
+# Load the dataset
+dataset = load_dataset("ctu-aic/csfever_nli")
+
+# Shuffle the test dataset and subsample 2/3 of the data
+shuffled_test_dataset = dataset["test"].shuffle(seed=42)
+subsampled_test_dataset = shuffled_test_dataset.select(range(int(len(shuffled_test_dataset) * 2 / 3)))
+
+# Define the output directory and create it if it doesn't exist
+output_dir = ".data/hf_dataset/csfever_nli"
+os.makedirs(output_dir, exist_ok=True)
+
+# Function to write the dataset split to a jsonl file
+def write_jsonl(data, filepath):
+    with jsonlines.open(filepath, mode='w') as writer:
+        writer.write_all(data)
+
+# Write the datasets to jsonl files
+write_jsonl(dataset["train"], os.path.join(output_dir, "train.jsonl"))
+write_jsonl(dataset["validation"], os.path.join(output_dir, "validation.jsonl"))
+write_jsonl(subsampled_test_dataset, os.path.join(output_dir, "test.jsonl"))
+
+print(f"Datasets saved to {output_dir}")

train.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c9309fcc178deb04578ac4adc5c1f457d3e3e8a5735e8c5706bf58e1a2f3418e
+size 91716128