Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
License:
Download validate.py from stanley-nv/tool-routing-data: direct link, hf CLI and curl.
- Browser
- Download file 2.79 kB
-
https://huggingface.co/datasets/stanley-nv/tool-routing-data/resolve/main/validate.py
- Command line
-
hf download hf://datasets/stanley-nv/tool-routing-data/validate.py
-
curl -L -o validate.py https://huggingface.co/datasets/stanley-nv/tool-routing-data/resolve/main/validate.py
2.79 kB
| """Validate the dataset files: schema, labels, duplicates inside / across splits. Usage: python validate.py [dataset_dir]""" | |
| import collections, json, re, sys | |
| from pathlib import Path | |
| root = Path(sys.argv[1] if len(sys.argv) > 1 else Path(__file__).parent) | |
| LABELS = {"wiki", "websearch", "weather", "news", "files", "shell", "other"} | |
| norm = lambda q: re.sub(r"[^a-z0-9]+", " ", q.lower()).strip() | |
| errors = [] | |
| def read(p): return [json.loads(l) for l in open(root / p, encoding="utf-8") if l.strip()] | |
| splits = {} | |
| for name, path in (("train", "routing/train.jsonl"), ("validation", "routing/validation.jsonl"), ("test", "routing/test.jsonl"), ("test2", "routing/test2.jsonl"), ("synthetic", "synthetic/templates.jsonl")): | |
| rows = read(path); splits[name] = rows; seen = set() | |
| for i, r in enumerate(rows): | |
| if set(r) != {"query", "label", "source", "style"}: errors.append(f"{path}:{i} bad keys {sorted(r)}") | |
| if r.get("label") not in LABELS: errors.append(f"{path}:{i} bad label {r.get('label')!r}") | |
| if not isinstance(r.get("query"), str) or not r["query"].strip(): errors.append(f"{path}:{i} empty query") | |
| n = norm(r["query"]) | |
| if n in seen: errors.append(f"{path}:{i} duplicate inside split: {r['query']!r}") | |
| seen.add(n) | |
| print(f"routing {name:10s} {len(rows):6d} rows", dict(sorted(collections.Counter(r["label"] for r in rows).items()))) | |
| keys = {n: {norm(r["query"]) for r in rows} for n, rows in splits.items()} | |
| for a in splits: | |
| for b in splits: | |
| if a < b and keys[a] & keys[b]: errors.append(f"routing leakage {a} / {b}: {len(keys[a] & keys[b])} shared queries") | |
| names = collections.Counter() | |
| for split in ("train", "validation", "test"): | |
| rows = read(f"tools/{split}.jsonl") | |
| for i, t in enumerate(rows): | |
| if set(t) != {"name", "descriptions", "queries", "source"}: errors.append(f"tools/{split}:{i} bad keys {sorted(t)}") | |
| if not re.fullmatch(r"[a-z][a-z0-9_]*", t["name"]): errors.append(f"tools/{split}:{i} bad name {t['name']!r}") | |
| if len(t["descriptions"]) < 2 or any(not d.strip() for d in t["descriptions"]): errors.append(f"tools/{split}:{i} needs >= 2 non-empty descriptions") | |
| if len(t["queries"]) < 5: errors.append(f"tools/{split}:{i} too few queries") | |
| names[t["name"]] += 1 | |
| print(f"tools {split:10s} {len(rows):6d} tools, {sum(len(t['queries']) for t in rows)} queries") | |
| errors += [f"tool name used in several places: {n}" for n, c in names.items() if c > 1] | |
| pt = json.load(open(root / "priority_tools.json", encoding="utf-8")) | |
| if set(pt) != LABELS: errors.append(f"priority_tools.json keys {sorted(pt)}") | |
| print("\n" + ("OK: no problems found" if not errors else f"{len(errors)} problem(s):\n " + "\n ".join(errors[:30]))) | |
| sys.exit(1 if errors else 0) | |