Add canonical kacperwikiel tokenizer

README.md

@@ -14,9 +14,9 @@ Normalized tokenizer artifacts collected from the contributor directories in
 [`slayerlabs/tokenizer`](https://github.com/slayerlabs/tokenizer/tree/1a5cd2c2e4df2287b4c19b3dbf5051f5d460fdc1),
 pinned to source commit `1a5cd2c2e4df2287b4c19b3dbf5051f5d460fdc1`.
 
-The dataset contains one row per tokenizer: 38 rows from `Arek`, `KasiaMP`,
-`dawidm`, `ola`, `Janek`, `patryk`, and `Konrad`. Use the Dataset Viewer to sort,
-filter, and compare the tokenizers without navigating contributor folders.
+The dataset contains one row per tokenizer: the 38 workshop submissions plus
+the canonical SlayerLab Polish 32k tokenizer by `kacperwikiel`. Use the Dataset
+Viewer to sort, filter, and compare tokenizers without navigating folders.
 
 ## Columns
 
@@ -33,6 +33,7 @@ filter, and compare the tokenizers without navigating contributor folders.
 - `reported_metrics`: evaluation numbers reported by the author, encoded as JSON.
 - `metadata`: normalized metadata encoded as a JSON string.
 - `tokenizer_json`: complete, lossless original JSON file contents.
+- `source_repo`: repository containing the original artifact.
 - `source_path`: original path in the source repository.
 - `source_commit`: pinned source Git commit.
 - `bytes`: original JSON file size.

build_parquet.py

@@ -3,6 +3,7 @@
 
 import argparse
 import csv
+import hashlib
 import json
 from pathlib import Path
 
@@ -11,6 +12,7 @@ import pyarrow.parquet as pq
 
 
 SOURCE_COMMIT = "1a5cd2c2e4df2287b4c19b3dbf5051f5d460fdc1"
+KACPER_SOURCE_COMMIT = "8a273e6fd6e05b56d9d05e15e0de8232f8be3548"
 GITHUB_AUTHORS = {
     "Arek": "Maggio333",
     "KasiaMP": "KateMajzel",
@@ -87,6 +89,7 @@ def main() -> None:
     parser.add_argument("--source-root", type=Path, default=Path("."))
     parser.add_argument("--manifest", type=Path, default=Path("manifest.csv"))
     parser.add_argument("--output", type=Path, default=Path("data/train-00000-of-00001.parquet"))
+    parser.add_argument("--kacper-tokenizer", type=Path)
     args = parser.parse_args()
 
     rows = []
@@ -118,6 +121,7 @@ def main() -> None:
                         extract_metadata(document), ensure_ascii=False, sort_keys=True
                     ),
                     "tokenizer_json": raw_json,
+                    "source_repo": "https://github.com/slayerlabs/tokenizer",
                     "source_path": source_path,
                     "source_commit": SOURCE_COMMIT,
                     "bytes": int(item["bytes"]),
@@ -125,6 +129,39 @@ def main() -> None:
                 }
             )
 
+    if args.kacper_tokenizer:
+        raw_json = args.kacper_tokenizer.read_text(encoding="utf-8")
+        document = json.loads(raw_json)
+        model = document["model"]
+        metrics = extract_reported_metrics(document)
+        rows.append(
+            {
+                "author": "kacperwikiel",
+                "size": len(model["vocab"]),
+                "name": "polish_bpe_32k.json",
+                "quick_status": "ready_hf_tokenizers",
+                "hf_loadable": True,
+                "format": "hf_tokenizers",
+                "model_type": model["type"],
+                "merge_count": merge_count(document),
+                "normalizer": component_name(document.get("normalizer")),
+                "pre_tokenizer": component_name(document.get("pre_tokenizer")),
+                "decoder": component_name(document.get("decoder")),
+                "unk_token": str(model.get("unk_token") or ""),
+                "added_tokens_count": len(document.get("added_tokens", [])),
+                "reported_metrics": json.dumps(metrics, ensure_ascii=False, sort_keys=True),
+                "metadata": json.dumps(
+                    extract_metadata(document), ensure_ascii=False, sort_keys=True
+                ),
+                "tokenizer_json": raw_json,
+                "source_repo": "https://huggingface.co/SlayerLab/slayer-scratch",
+                "source_path": "tokenizers/polish_bpe_32k.json",
+                "source_commit": KACPER_SOURCE_COMMIT,
+                "bytes": len(raw_json.encode("utf-8")),
+                "sha256": hashlib.sha256(raw_json.encode("utf-8")).hexdigest(),
+            }
+        )
+
     schema = pa.schema(
         [
             ("author", pa.string()),
@@ -143,6 +180,7 @@ def main() -> None:
             ("reported_metrics", pa.string()),
             ("metadata", pa.string()),
             ("tokenizer_json", pa.large_string()),
+            ("source_repo", pa.string()),
             ("source_path", pa.string()),
             ("source_commit", pa.string()),
             ("bytes", pa.int64()),

data/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2763c94cfaeb582062ad428d600015d9e6f0646a61081a190a8505e3a2243bf0
-size 16491254
+oid sha256:a631ad16d7ce5000d41a9d0cd05e6a3398c02b81c87d5e1dff0b2534e47b592b
+size 16896171