Datasets:
Download scripts/view.py from to0p/codex-tool-use-trajectories: direct link, hf CLI and curl.
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- Download file 1.81 kB
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https://huggingface.co/datasets/to0p/codex-tool-use-trajectories/resolve/main/scripts/view.py
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hf download hf://datasets/to0p/codex-tool-use-trajectories/scripts/view.py
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curl -L -o view.py https://huggingface.co/datasets/to0p/codex-tool-use-trajectories/resolve/main/scripts/view.py
1.81 kB
| """Compact view of a trajectory row: role, tool names, first N chars of each message.""" | |
| import json | |
| def one_line(s, n=150): | |
| s = (s or "").replace("\r", "").replace("\n", "⏎ ") | |
| return s[:n] + ("…" if len(s) > n else "") | |
| def compact_view(row, n=150, head=8, tail=5): | |
| msgs = row["messages"] | |
| lines = [f"id={row['id']} session={row['session_id']} role={row['agent_role']} thread={row['thread_source']} model={row['model']}/{row['effort']} " | |
| f"task_source={row['task_source']} seg={row['segment']}/{row['segments_total']} calls={row['n_tool_calls']} failed={row['n_failed_calls']} flags={row['flags']} msgs={len(msgs)}"] | |
| idx = list(range(len(msgs))) | |
| if len(msgs) > head + tail: | |
| show = idx[:head] + [None] + idx[-tail:] | |
| else: | |
| show = idx | |
| for i in show: | |
| if i is None: | |
| lines.append(f" … {len(msgs) - head - tail} more messages …") | |
| continue | |
| m = msgs[i] | |
| r = m["role"] | |
| if r == "assistant": | |
| tcs = m.get("tool_calls") or [] | |
| names = ",".join(tc["function"]["name"] for tc in tcs) | |
| body = one_line(m.get("content"), n) if m.get("content") else "(no text)" | |
| tag = f"assistant[calls: {names}]" if tcs else "assistant" | |
| lines.append(f" [{i}] {tag}: {body}") | |
| for tc in tcs[:2]: | |
| lines.append(f" ↳ {tc['function']['name']}({one_line(tc['function']['arguments'], n)})") | |
| if len(tcs) > 2: | |
| lines.append(f" ↳ … +{len(tcs)-2} more calls") | |
| elif r == "tool": | |
| lines.append(f" [{i}] tool({m['tool_call_id'][-8:]}): {one_line(m['content'], n)}") | |
| else: | |
| lines.append(f" [{i}] {r}: {one_line(m['content'], n)}") | |
| return "\n".join(lines) | |