README: document self-contained task images (no external base image/repo/token)

README.md

@@ -1,26 +1,33 @@
 # harbor-datasets-tabred
 
 Harbor-format **TabReD** benchmark (yandex-research/tabred, ICLR 2025): 8 real industry tabular tasks with a temporal train/test split (40k-train / 10k-test slice). A general benchmark for
-**any Harbor agent** — the tasks are agent-neutral. `registry.json` at the root,
-**one folder per task**.
+**any Harbor agent** — tasks are agent-neutral and **self-contained**.
+`registry.json` at the root, **one folder per task**.
 
-## Dataset (see `registry.json`)
-- **tabred-real** — each `datasets/tabred-real/<task>/` ships real data (`environment/data/`), a
-  base `instruction.md` (task description + data/eval context + GPU hint + submission
-  format — no agent- or library-specific content), a scorer (`tests/score.py`) and
-  the harbor task config. Any agent reads the same instruction and writes
-  `/workspace/submission.csv`.
+## What each task contains
+```
+datasets/tabred-real/<task>/
+  environment/Dockerfile      # builds FROM python:3.12-slim — no external base image
+  environment/requirements.txt
+  environment/prepare.py      # stages the data into /workspace at build time
+  environment/data/           # the real data
+  instruction.md              # task description + submission format (agent-neutral)
+  tests/                      # scorer + verifier
+  task.toml                   # Harbor task config
+```
+Nothing outside this repository is required: no private images, no extra repos,
+no tokens. `docker build` pulls only `python:3.12-slim` and public PyPI/apt
+packages. The agent is installed by Harbor itself, so any agent works.
 
 Tasks (`-i`): weather, cooking-time, delivery-eta, maps-routing, sberbank-housing, homesite-insurance, ecom-offers, homecredit-default.
 
 ## Run
 ```bash
 REPO=https://huggingface.co/datasets/danil-e/harbor-datasets-tabred
-
-# Docker (default):
 harbor run --repo $REPO -d tabred-real -i weather -a <agent> -m <model>
-
-# Docker-less (e.g. running Harbor inside a container) — Singularity/Apptainer,
-# daemon-less and GPU-capable:
-harbor run --repo $REPO -d tabred-real -i weather -a <agent> -m <model> -e singularity
 ```
+The task image is built on first run (installs the task's Python stack, so the
+first build takes a few minutes; later runs reuse the cached image).
+
+Harbor's other environment backends (`-e ...`, e.g. for hosts without a Docker
+daemon) work the same way — see the Harbor documentation for their requirements.