{
 "id": "session1-3.5M",
 "context_tokens": 3499544,
 "context_messages": 12919,
 "cut": "at a turn boundary, right after a tool result; Manta writes the next assistant turn",
 "sampling": {
  "temperature": 1.0,
  "top_p": 0.95,
  "max_new_tokens": 2048,
  "samples": 1
 },
 "context_tail": [
  {
   "role": "assistant",
   "thinking": "",
   "text": "",
   "tool_calls": [
    {
     "name": "Bash",
     "arguments": {
      "command": "cat [REDACTED]/tasks/bcbadj7uv.output 2>/dev/null | grep -vE \"Welcome|Have fun|AI agents|READ /etc\"",
      "description": "Check data/model progress"
     }
    }
   ]
  },
  {
   "role": "tool",
   "content": "(Bash completed with no output)"
  },
  {
   "role": "assistant",
   "thinking": "",
   "text": "",
   "tool_calls": [
    {
     "name": "Bash",
     "arguments": {
      "command": "ssh -p [REDACTED] -o ConnectTimeout=60 root@[REDACTED] 'echo \"=== getdata ===\"; tail -10 /root/getdata.log 2>/dev/null; echo \"=== model dl ===\"; tail -2 /root/dl.log 2>/dev/null; du -sh /root/.hf_home 2>/dev/null; ls -la /root/[REDACTED]/*.txt 2>/dev/null' 2>&1 | grep -vE \"Welcome|Have fun|AI agents|READ /etc\"",
      "description": "Check data and model download status"
     }
    }
   ]
  },
  {
   "role": "tool",
   "content": "=== getdata ===\n    builder_instance = load_dataset_builder(\n                       ^^^^^^^^^^^^^^^^^^^^^\n  File \"/venv/main/lib/python3.12/site-packages/datasets/load.py\", line 1323, in load_dataset_builder\n    dataset_module = dataset_module_factory(\n                     ^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/venv/main/lib/python3.12/site-packages/datasets/load.py\", line 1215, in dataset_module_factory\n    raise e1 from None\n  File \"/venv/main/lib/python3.12/site-packages/datasets/load.py\", line 1175, in dataset_module_factory\n    raise RuntimeError(f\"Dataset scripts are no longer supported, but found {filename}\")\nRuntimeError: Dataset scripts are no longer supported, but found pg19.py\n=== model dl ===\n\rFetching 16 files:   6%|▋         | 1/16 [00:00<00:02,  7.12it/s]\rFetching 16 files:  12%|█▎        | 2/16 [00:00<00:01,  8.23it/s]\rFetching 16 files:  44%|████▍     | 7/16 [00:25<00:37,  4.16s/it]\rFetching 16 files:  50%|█████     | 8/16 [00:26<00:28,  3.57s/it]\rFetching 16 files: 100%|██████████| 16/16 [00:26<00:00,  1.68s/it]\nMODEL_AT /root/.hf_home/hub/[REDACTED]/snapshots/[REDACTED]\n19G\t/root/.hf_home"
  }
 ],
 "continuation": {
  "role": "assistant",
  "thinking": "Model downloaded (19G), and the getdata script hit a snag with deepmind/pg19 that has a dataset script no longer supported in datasets 5.0. I need to find a working replacement source—like the emozilla/pg19 variant—so I'll query the HF API for available configs and update the script accordingly.",
  "text": "Model downloaded (19G). getdata hit the known `datasets-5.0` script block on `deepmind/pg19`. Fixing with a parquet-only source:",
  "tool_calls": []
 },
 "original_next": {
  "role": "assistant",
  "thinking": "The model's downloaded, but the dataset script approach isn't compatible with the newer datasets library. I'm looking at alternative sources for PG-19 — either the parquet mirror at emozilla/pg19, a converted version of the original, or other long-document datasets like US public domain books or Gutenberg collections. Let me start with the parquet mirror since it should work directly.\n\nI'll also need to handle fineweb-edu and the-stack-smol which might have similar compatibility issues. I'm going to write a quick probe script that tests several dataset IDs to see which ones load successfully.",
  "text": "Model is down (19 G). `getdata` failed — `deepmind/pg19` ships a loading script, which `datasets` v4 dropped. Probing which sources actually load on this stack:",
  "tool_calls": [
   {
    "name": "Bash",
    "arguments": {
     "command": "ssh -p [REDACTED] -o ConnectTimeout=180 root@[REDACTED] 'export HF_HOME=/root/.hf_home; timeout 600 /venv/main/bin/python - <<PY 2>&1 | grep -vE \"^Downloading|^Resolving|it/s\\]|^ *$\"\nfrom datasets import load_dataset\ncands = [\n  (\"emozilla/pg19\", None, \"text\"),\n  (\"deepmind/pg19\", None, \"text\"),\n  (\"storytracer/US-PD-Books\", None, \"text\"),\n  (\"HuggingFaceFW/fineweb-edu\", \"sample-10BT\", \"text\"),\n  (\"bigcode/the-stack-smol\", None, \"content\"),\n  (\"codeparrot/codeparrot-clean-valid\", None, \"content\"),\n]\nfor name, cfg, col in cands:\n    try:\n        kw = dict(split=\"train\", streaming=True)\n        if cfg: kw[\"name\"]=cfg\n        d = load_dataset(name, **kw)\n        ex = next(iter(d))\n        n = len(ex.get(col) or \"\")\n        print(f\"OK    {name:<38} col={col} first_doc={n} chars\")\n    except Exception as e:\n        print(f\"FAIL  {name:<38} {type(e).__name__}: {str(e)[:90]}\")\nPY' 2>&1 | grep -vE \"Welcome|Have fun|AI agents|READ /etc\"",
     "description": "Probe which HF datasets load"
    }
   }
  ]
 },
 "original_agent": {
  "kind": "a current frontier agent",
  "context_compactions_before_cut": 6
 }
}