added data, processing

process.py

@@ -0,0 +1,34 @@
+from datasets import Dataset, load_dataset
+from transformers import AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained('models/RedPajama-INCITE-Instruct-7B')
+max_seq = 2048
+
+def make_prompt(code):
+    return f'Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{code}\n\n### Response:\n'
+
+
+def is_not_too_long(data):
+    encoded = tokenizer.encode(make_prompt(data['content']))
+    return len(encoded) < max_seq
+
+def deduplicate_dicts(dicts):
+    seen = {}
+    result = []
+    for d in dicts:
+        content = d.get('content')
+        if content not in seen:
+            seen[content] = True
+            result.append(d)
+    return result
+
+dataset = load_dataset('json', data_files='ts_parser/ts-chunks.jsonl')
+
+data_short = dataset.filter(is_not_too_long)
+
+dedup = deduplicate_dicts(data_short['train'])
+
+data_short_dedup = Dataset.from_list(dedup)
+print(data_short_dedup)
+
+data_short_dedup.to_json('typescript-chunks.json')