added stats

count_tokens.py

@@ -0,0 +1,49 @@
+from datasets import load_dataset
+from itertools import islice
+import sys
+import time
+from tqdm import tqdm
+from transformers import AutoTokenizer
+from itertools import islice
+import json
+
+NUM_PROC = 12
+
+dataset = load_dataset("hoskinson-center/proof-pile")
+tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neox-20B")
+
+def length(example):
+    return {"length": [len(x) for x in tokenizer(example["text"])["input_ids"]]}
+
+dataset = dataset.map(length, batched=True, num_proc=NUM_PROC)
+
+stats = dict()
+
+for x in tqdm(dataset["train"]):
+    meta = json.loads(x["meta"])
+
+    if "config" in meta.keys():
+        config = meta["config"]
+    elif "set_name" in meta.keys(): 
+        config = meta["set_name"]
+    elif "subset_name" in meta.keys():
+        path = meta["file"]
+        config = path[:path.index("/")]
+    else:
+        print(x)
+        raise KeyError()
+
+    if config not in stats.keys():
+        stats[config] = dict()
+        stats[config]["bytes"] = 0 
+        stats[config]["tokens"] = 0
+
+    stats[config]["bytes"] += len(x["text"].encode("utf-8"))
+    stats[config]["tokens"] += x["length"]
+
+
+print(json.dumps(stats, indent=2))
+print("saving stats...")
+
+with open("stats.json", "w") as f: 
+    f.write(json.dumps(stats, indent=2))

stats.json

@@ -0,0 +1,26 @@
+{
+  "arxiv": {
+    "bytes": 13609690878,
+    "tokens": 4905230148
+  },
+  "stack_exchange": {
+    "bytes": 962813093,
+    "tokens": 306853916
+  },
+  "formal": {
+    "bytes": 141328715,
+    "tokens": 59043874
+  },
+  "wiki": {
+    "bytes": 20573531,
+    "tokens": 6561329
+  },
+  "MATH": {
+    "bytes": 2429955,
+    "tokens": 898410
+  },
+  "books": {
+    "bytes": 15776008,
+    "tokens": 5553483
+  }
+}