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Overview
Glint-Research/Fable-5-traces preserves Fable 5 coding-agent behavior in two complementary surfaces:
| Surface | Location | Purpose |
|---|---|---|
| Agent Trace view | pi-traces/*.jsonl through config pi_agent/train |
Hugging Face Agent Traces / Data Studio inspection. Each file is a Pi-style trace containing a session, model_change, thinking_level_change, user context, and assistant reasoning plus text/tool output. |
| Merged training rows | fable5_cot_merged.jsonl |
Flat JSONL for direct SFT, filtering, and custom conversion. Each row contains context, cot, output_type, output, completion, and provenance fields. |
| Raw logs | /claude/ |
Original session-level material retained for archival inspection and alternative converters. |
The active dataset viewer is intentionally pointed at the Pi trace files so the Hub can render the examples as agent trajectories rather than as a plain JSONL table.
Dataset Anatomy
The merged row corpus was audited on June 19, 2026. Counts below are computed over fable5_cot_merged.jsonl and the generated pi-traces/ conversion.
| Metric | Value |
|---|---|
| Total merged examples | 4,665 |
| Pi trace files | 4,665 |
| Unique source sessions | 60 |
| Model rows | 4,665 claude-fable-5 |
| Tool-use rows | 3,799 |
| Assistant text rows | 866 |
| Local-origin rows | 3,712 |
| Imported/HF-origin rows | 953 |
| Median rows per source session | 38 |
| P90 rows per source session | 207 |
| Largest source session slice | 439 rows |
Output Distribution
| Output type | Rows | Share |
|---|---|---|
tool_use |
3,799 | 81.44% |
text |
866 | 18.56% |
Tool Distribution
| Tool | Rows |
|---|---|
Bash |
1,544 |
Edit |
960 |
Read |
443 |
Write |
311 |
PowerShell |
136 |
WebSearch |
72 |
mcp__Claude_Preview__preview_eval |
63 |
WebFetch |
44 |
TaskUpdate |
37 |
ToolSearch |
35 |
TaskCreate |
26 |
mcp__Claude_Preview__preview_screenshot |
24 |
ScheduleWakeup |
23 |
| Other tools | 81 |
Source Mix
| Source root | Rows |
|---|---|
-home-lane-MythosMini |
2,024 |
| imported HF slice / other | 953 |
-home-lane-GR |
447 |
-home-lane |
425 |
-home-lane-AIArchives |
316 |
-home-lane-rblx |
215 |
-home-lane-Blindbot-hf-space |
87 |
-home-lane-AOTpy |
60 |
-home-lane-Blindbot |
58 |
-home-lane-log |
52 |
-home-lane-letsclaudething |
28 |
Text Length Profile
| Field | Median chars | P90 chars | P95 chars | Max chars | Mean chars |
|---|---|---|---|---|---|
context |
7,022 | 7,022 | 7,022 | 7,022 | 6,593.2 |
cot |
2,365 | 4,186 | 5,274 | 9,145 | 2,669.4 |
completion |
2,726 | 6,166 | 8,848 | 73,607 | 3,754.9 |
The fixed upper bound in many context rows reflects the merged-file truncation policy. Use /claude/ if you need to inspect fuller raw session logs.
Pi Agent Trace Mapping
Each merged row is converted into a minimal Pi-compatible trace:
| Event | Meaning |
|---|---|
session |
Synthetic stable UUID derived from row UID; cwd normalized to /workspace. |
model_change |
Records claude-fable-5. |
thinking_level_change |
Set to high for trace viewer grouping. |
message user |
The merged row context, preserving the prompt and preceding tool/result transcript. |
message assistant |
A thinking item from cot, then either a text item or a toolCall item derived from output. |
This mapping is designed for visualization and distillation. It does not claim that each converted file was originally a standalone Pi run; it is a faithful row-level projection of the merged Fable 5 trace data into the Hub-supported Agent Traces format.
Fields in fable5_cot_merged.jsonl
| Field | Type | Description |
|---|---|---|
uid |
string | Stable row identifier, usually session_id#index. |
source_file |
string | Original raw trace source path. |
session |
string | Source session identifier. |
model |
string | Captured model name; all audited rows are claude-fable-5. |
context |
string | Prompt and prior transcript context used for the row. |
cot |
string | Reasoning trace captured for the assistant action. |
output_type |
string | tool_use or text. |
output |
object | Tool name and arguments for tool rows, or text payload for assistant message rows. |
completion |
string | Full serialized completion-style representation containing reasoning and output. |
origin |
string | Provenance bucket, currently local or hf. |
Loading
View Agent Traces
Open the Hub viewer at:
https://huggingface.co/datasets/Glint-Research/Fable-5-traces/viewer/pi_agent/train
Stream the Pi Agent Trace Projection
from datasets import load_dataset
ds = load_dataset(
"Glint-Research/Fable-5-traces",
"pi_agent",
split="train",
streaming=True,
)
row = next(iter(ds))
print(row["harness"])
print(row["session_id"])
print(row["messages"][-1])
print(row["file_path"])
Load the Flat Merged JSONL
from datasets import load_dataset
merged = load_dataset(
"json",
data_files="https://huggingface.co/datasets/Glint-Research/Fable-5-traces/resolve/main/fable5_cot_merged.jsonl",
split="train",
)
print(merged.column_names)
print(merged[0]["output_type"])
Intended Uses
- SFT and distillation research for coding-agent reasoning plus action prediction.
- Tool-call policy modeling over realistic shell, file-editing, preview, web, and task-management actions.
- Agent trace visualization and qualitative inspection in Hugging Face Data Studio.
- Debugging row-level conversions between flat training JSONL and event-oriented agent traces.
- Studying how long-form reasoning, terminal observations, and concrete tool invocations interleave in coding sessions.
Caveats and Responsible Use
- The dataset contains coding-agent transcripts, terminal outputs, local file paths, and generated work logs. Treat it as agent telemetry, not as sanitized benchmark data.
- Many merged
contextvalues are intentionally truncated; use raw/claude/files when session-level continuity matters. - Tool outputs and command logs are not guaranteed to be executable in your environment.
- This is not a hidden-eval dataset and should not be used as a claim of model capability by itself.
- The active card is optimized for Agent Trace inspection. The flat JSONL remains available for training workflows that prefer row-level examples.
- License: AGPL-3.0. Check compatibility before using this data in commercial or closed-source training pipelines.
Provenance
This dataset was assembled from Fable 5 agent traces collected by Glint Research and companion trace material contributed through the TeichAI ecosystem. The Pi Agent trace projection was generated from fable5_cot_merged.jsonl so the corpus can be inspected through the Hugging Face Agent Traces viewer.
Related Links
- Hugging Face Agent Traces documentation: https://huggingface.co/docs/hub/agent-traces
- Pretty external viewer: https://tracehouse.ai/d/glint-research-fable-5-traces-0d89ee?t=qVJ4V1EOeQyQlJEhxYwmIZo11gyPnVBW
- Full logs reference: https://huggingface.co/datasets/cfahlgren1/Fable-5-traces
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