pymethods2test
exp_rpt_pymethods2test-large-qwen3.5-122b-131k-opencode-traces
Agent trace dataset
Decoding the literal token IDs
The prompt_token_ids / completion_token_ids / logprobs columns are the
verbatim tokens the serving engine emitted, stored PER AGENT STEP as a
list-of-lists (one inner list per turn). To turn them back into text you MUST
use the exact tokenizer the model was served with — a generic same-family
tokenizer will decode word tokens to garbage.
Served model / tokenizer source: Qwen/Qwen3.5-122B-A10B-FP8
from transformers… See the full description on the dataset page: https://huggingface.co/datasets/open-athena/exp_rpt_pymethods2test-large-qwen3.5-122b-131k-opencode-traces.a3-rl-DCAgent_exp_rpt_pymethods2test-largeablation-pymethods2test-seqnormablation-pymethods2test-seqnorm-tisablation-pymethods2test-seqnorm-tis-part2ablation-pymethods2test-shaped