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MATH-500 CoT completions (DeepSeek-R1-Distill-Qwen-1.5B)

Successful chain-of-thought completions for HuggingFaceH4/MATH-500 test problems, generated with deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B via vLLM.

Files

File Description
records.parquet Main dataset: correct completions as token IDs
manifest.json Schema, tokenizer, run ids, decoding config
problem_index.json unique_idproblem_idx in MATH-500 test
subject_max_tokens.json Per-subject completion caps (main build)
build_checkpoint.json Completed problem ids (500/500)
generation_attempts.parquet Per-problem build/retry attempt summary
generation_history_summary.json Rollup stats by phase, subject, and cap

Load a completion

import json
import pandas as pd
from datasets import load_dataset
from transformers import AutoTokenizer

records = pd.read_parquet("hf://datasets/ChrisMcCormick/math500-cot-deepseek-r1-1.5b/records.parquet")
manifest = json.loads(open("hf://datasets/ChrisMcCormick/math500-cot-deepseek-r1-1.5b/manifest.json").read())
rec = records.iloc[0]

math = load_dataset("HuggingFaceH4/MATH-500", split="test")
row = math[int(rec.problem_idx)]

tok = AutoTokenizer.from_pretrained(manifest["tokenizer"])
text = tok.decode(rec.completion_token_ids, skip_special_tokens=False)

Generation settings

  • 8 samples per problem (temperature=0.6, top_p=0.95, seed=0)
  • Per-subject max_tokens caps (see subject_max_tokens.json)
  • Extended-cap retry pass for zero-CoT problems (see generation_history_summary.json)

Source code: grpo-arithmetic (branch_viz/math500_cot_dataset/).

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