headroomlabs-ai/headroom · error · ImportError
HuggingFace datasets required for this loader. Install with:
Error message
HuggingFace datasets required for this loader. Install with: pip install headroom-ai[evals]
What it means
Raised by _check_datasets_installed() in headroom.evals.datasets: the HuggingFace `datasets` library is an optional dependency (shipped under the 'evals' extra), and every loader in this module (e.g. load_hotpotqa) calls the guard before importing it. The ImportError is chained from the original failure and names the exact extra to install: headroom-ai[evals].
Source
Thrown at headroom/evals/datasets.py:42
Custom:
- Tool output samples: Built-in realistic tool outputs
"""
from __future__ import annotations
import json
from pathlib import Path
from typing import Any
from headroom.evals.core import EvalCase, EvalSuite
def _check_datasets_installed() -> None:
"""Check if HuggingFace datasets is installed."""
try:
import datasets # noqa: F401
except ImportError as e:
raise ImportError(
"HuggingFace datasets required for this loader. "
"Install with: pip install headroom-ai[evals]"
) from e
# =============================================================================
# RAG / RETRIEVAL DATASETS
# =============================================================================
def load_hotpotqa(
n: int = 100,
split: str = "validation",
) -> EvalSuite:
"""Load HotpotQA dataset for multi-hop QA evaluation.
HotpotQA contains questions requiring reasoning over multiple
Wikipedia passages, with verified ground truth answers.View on GitHub (pinned to 322425c43b)
Solutions
- Install the extra in the same interpreter: `pip install 'headroom-ai[evals]'`
- Or install the dependency directly: `pip install datasets`
- Verify with `python -c "import datasets"` in the environment that runs the evals; fix venv mismatch if needed
Example fix
# before from headroom.evals.datasets import load_hotpotqa cases = load_hotpotqa(n=100) # ImportError: HuggingFace datasets required... # after # pip install 'headroom-ai[evals]' from headroom.evals.datasets import load_hotpotqa cases = load_hotpotqa(n=100)
Defensive patterns
Strategy: validation
Validate before calling
try:
import datasets # noqa: F401
except ImportError:
raise SystemExit("Eval datasets need the extra: pip install 'headroom-ai[evals]'") Prevention
- Install with the [evals] extra on machines that run dataset loaders
- Add `python -c 'import datasets'` to CI for eval pipelines
- Keep eval dependencies in the same interpreter as headroom to avoid venv mismatches
When it happens
Trigger: Calling any dataset loader (load_hotpotqa and siblings) with a plain `pip install headroom-ai` installation that omitted the [evals] extra, so `import datasets` fails. The guard fires before any network or parsing work.
Common situations: Minimal installs in Docker/CI for the proxy-only use case, then later running evals; stale environments from before the extra existed (datasets was perhaps a hard dep); interpreter mismatch where datasets lives in another venv.
Related errors
- anthropic package required. Install with: pip install anthro
- openai package required. Install with: pip install openai
- Magika is required for ML-based content detection. Install w
- openai package not installed. Install with: pip install open
- qdrant-client not installed. Install with: pip install qdran
AI-assisted analysis of headroomlabs-ai/headroom@322425c43b (2026-08-15).
Data as JSON: /api/errors/259f56a9c4c601d7.
Report an issue: GitHub.