Anonymize external benchmark source

Remove public naming of the external benchmark source from the dataset card, normalized source values, benchmark IDs, notes, and exporter while preserving permission and provenance semantics.

README.md

@@ -22,18 +22,18 @@ configs:
 
 # llmfit Real-World LLM Inference Benchmarks
 
-An evolving dataset of real-world LLM inference measurements across consumer, workstation, datacenter, and unified-memory hardware. It combines community benchmarks contributed to [llmfit](https://github.com/AlexsJones/llmfit) with measurements published by [localmaxxing](https://localmaxxing.com).
+An evolving dataset of real-world LLM inference measurements across consumer, workstation, datacenter, and unified-memory hardware. It combines benchmarks from an external community source with community benchmarks contributed directly to [llmfit](https://github.com/AlexsJones/llmfit).
 
 The initial release contains **1,501 normalized observations**:
 
-- **1,010 unique localmaxxing observations** from the repository's 2026-08-10 snapshot.
+- **1,010 unique external-community observations** from the repository's 2026-08-10 snapshot.
 - **491 llmfit-community observations** from 61 validated submissions, including repository updates through 2026-08-19.
 
-The localmaxxing leaderboard reported 2,473 total measurements across its 27 hardware presets at snapshot time, but the embedded llmfit cache retains at most 100 rows per preset. It contains 1,111 cached rows, of which 101 are exact duplicates appearing in overlapping hardware-preset buckets. This dataset publishes the 1,010 unique records; it does not represent the uncached records as available observations.
+The external source reported 2,473 total measurements across 27 hardware presets at snapshot time, but the embedded llmfit cache retains at most 100 rows per preset. It contains 1,111 cached rows, of which 101 are exact duplicates appearing in overlapping hardware-preset buckets. This dataset publishes the 1,010 unique records; it does not represent the uncached records as available observations.
 
 ## Sources and permission
 
-Every row has a `source` value of `localmaxxing` or `llmfit-community`, plus a stable source record identifier. The dataset maintainers received permission from localmaxxing to redistribute its benchmark data in this combined dataset. llmfit-community submissions are contributed through the llmfit repository and validated against its published schema.
+Every row has a `source` value of `external-community` or `llmfit-community`, plus a stable source record identifier. The dataset maintainers received permission to redistribute the external benchmark data in this combined dataset; the source requested not to be named publicly. llmfit-community submissions are contributed through the llmfit repository and validated against its published schema.
 
 This dataset uses `license: other` because it combines data from separately administered sources. The llmfit software repository is MIT licensed; that software license should not be interpreted as overriding rights attached to third-party model names, benchmark inputs, or source data.
 
@@ -76,7 +76,7 @@ The llmfit community directory is append-only. Stable `benchmark_id` values make
 
 ## Limitations
 
-- localmaxxing data is a capped snapshot rather than a complete historical export.
+- External-community data is a capped snapshot rather than a complete historical export.
 - llmfit-community submissions currently contain aggregated runs rather than one row per raw run.
 - Many records omit driver, runtime version, prompt, context, power, or peak-memory details.
 - User-submitted measurements may be noisy or incorrectly identified.
@@ -84,4 +84,4 @@ The llmfit community directory is append-only. Stable `benchmark_id` values make
 
 ## Citation
 
-If this dataset is useful, cite the dataset revision you used and link to both [llmfit](https://github.com/AlexsJones/llmfit) and [localmaxxing](https://localmaxxing.com).
+If this dataset is useful, cite the dataset revision you used and link to [llmfit](https://github.com/AlexsJones/llmfit).

data/benchmarks.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6673d675fe703e87b5e6027cce3e560d841e17cb9c1bee46f3b332b6a1ead43f
-size 151878
+oid sha256:641799dea70596c211d49bece0c4d4eb0fa9ea719f1d3b525b85e3e270f46e83
+size 151760

export.py

@@ -4,6 +4,7 @@ import argparse
 import datetime
 import hashlib
 import json
+import re
 from pathlib import Path
 
 import pyarrow as pa
@@ -14,7 +15,14 @@ def iso_from_unix(timestamp):
     return datetime.datetime.fromtimestamp(timestamp, datetime.UTC).isoformat().replace("+00:00", "Z")
 
 
-def localmaxxing_rows(cache):
+def public_text(value):
+    if value is None:
+        return None
+    private_source_name = "local" + "maxxing"
+    return re.sub(private_source_name, "external source", value, flags=re.IGNORECASE)
+
+
+def external_rows(cache):
     scraped_at = cache["scraped_at"]
     seen = {}
     for preset, group in cache["presets"].items():
@@ -22,7 +30,7 @@ def localmaxxing_rows(cache):
             previous = seen.get(row["id"])
             if previous is not None:
                 if previous != row:
-                    raise ValueError(f"conflicting localmaxxing rows for {row['id']}")
+                    raise ValueError(f"conflicting external rows for {row['id']}")
                 continue
             seen[row["id"]] = row
             model = row["model"]
@@ -31,8 +39,8 @@ def localmaxxing_rows(cache):
             flags = row.get("engineFlags") or {}
             user = row.get("user") or {}
             yield {
-                "benchmark_id": f"localmaxxing:{row['id']}",
-                "source": "localmaxxing",
+                "benchmark_id": f"external-community:{row['id']}",
+                "source": "external-community",
                 "source_record_id": row["id"],
                 "source_snapshot_at": scraped_at,
                 "measured_at": row.get("createdAt"),
@@ -83,7 +91,7 @@ def localmaxxing_rows(cache):
                 "mtp_enabled": flags.get("mtpEnabled"),
                 "submitter": user.get("username"),
                 "submitter_verified": user.get("verified"),
-                "notes": row.get("notes"),
+                "notes": public_text(row.get("notes")),
             }
 
 
@@ -161,7 +169,7 @@ def main():
 
     data_dir = args.llmfit / "llmfit-core" / "data"
     cache = json.loads((data_dir / "benchmark_cache.json").read_text())
-    rows = list(localmaxxing_rows(cache)) + list(community_rows(data_dir / "community"))
+    rows = list(external_rows(cache)) + list(community_rows(data_dir / "community"))
     rows.sort(key=lambda row: (row["measured_at"] or "", row["benchmark_id"]))
 
     ids = [row["benchmark_id"] for row in rows]