Token Classification
Transformers
ONNX
Safetensors
English
Japanese
Chinese
bert
anime
filename-parsing
Eval Results (legacy)
Instructions to use ModerRAS/AniFileBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModerRAS/AniFileBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ModerRAS/AniFileBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ModerRAS/AniFileBERT") model = AutoModelForTokenClassification.from_pretrained("ModerRAS/AniFileBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 8,955 Bytes
7509455 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 | """Tests for full source-list expansion of DAG annotation patches."""
from __future__ import annotations
import json
import subprocess
import sys
import tempfile
import unittest
from pathlib import Path
def write_jsonl(path: Path, rows: list[dict]) -> None:
path.write_text(
"\n".join(json.dumps(row, ensure_ascii=False) for row in rows) + "\n",
encoding="utf-8",
)
class ExpandDmhyDagAnnotationsTests(unittest.TestCase):
def run_expand(
self,
tmp: Path,
dag: dict,
source_rows: list[dict],
patch_rows: list[dict],
*,
limit: int | None = None,
) -> tuple[list[dict], dict, subprocess.CompletedProcess[str]]:
dag_path = tmp / "dag.json"
source_path = tmp / "dmhy_list.jsonl"
patches_path = tmp / "patches.jsonl"
output_path = tmp / "expanded.jsonl"
manifest_path = tmp / "expanded.manifest.json"
dag_path.write_text(json.dumps(dag, ensure_ascii=False), encoding="utf-8")
write_jsonl(source_path, source_rows)
write_jsonl(patches_path, patch_rows)
command = [
sys.executable,
"-m",
"tools.expand_dmhy_dag_annotations",
"--dag",
str(dag_path),
"--source-list",
str(source_path),
"--patches",
str(patches_path),
"--output",
str(output_path),
"--manifest-output",
str(manifest_path),
]
if limit is not None:
command.extend(["--limit", str(limit)])
run = subprocess.run(command, check=False, capture_output=True, text=True)
self.assertEqual(run.returncode, 0, run.stderr)
rows = [
json.loads(line)
for line in output_path.read_text(encoding="utf-8").splitlines()
if line.strip()
]
manifest = json.loads(manifest_path.read_text(encoding="utf-8"))
return rows, manifest, run
def test_source_list_expands_multiple_values_for_same_terminal(self) -> None:
with tempfile.TemporaryDirectory() as tmpdir:
rows, manifest, _run = self.run_expand(
Path(tmpdir),
{
"nodes": [],
"terminals": [
{
"terminal_id": "t0",
"node_id": 1,
"prefix": "[ANi] Full Show - ",
"value_examples": ["[ANi] Full Show - 01 [1080P].mkv"],
}
],
},
[
{"value": "[ANi] Full Show - 01 [1080P].mkv"},
{"value": "[ANi] Full Show - 02 [1080P].mkv"},
{"value": "[ANi] Full Show - 03 [1080P].mkv"},
],
[
{
"unit_id": "u0",
"terminal_ids": ["t0"],
"episode_title_suffixes": [],
"media_suffixes": ["[1080P]"],
"title_candidates": ["Full Show"],
"source": "responses-dag-v1",
"fallback": False,
"status": "ok",
}
],
)
self.assertEqual([row["filename"] for row in rows], [
"[ANi] Full Show - 01 [1080P].mkv",
"[ANi] Full Show - 02 [1080P].mkv",
"[ANi] Full Show - 03 [1080P].mkv",
])
self.assertTrue(all(row["terminal_id"] == "t0" for row in rows))
self.assertEqual(manifest["input_rows"], 3)
self.assertEqual(manifest["matched_rows"], 3)
self.assertEqual(manifest["output_rows"], 3)
self.assertEqual(manifest["unique_terminals_matched"], 1)
def test_unmatched_values_are_counted(self) -> None:
with tempfile.TemporaryDirectory() as tmpdir:
rows, manifest, _run = self.run_expand(
Path(tmpdir),
{
"nodes": [],
"terminals": [
{
"terminal_id": "t0",
"node_id": 1,
"prefix": "Known Show - ",
"value_examples": ["Known Show - 01 [1080P].mkv"],
}
],
},
[
{"value": "Known Show - 01 [1080P].mkv"},
{"value": "Other Show - 01 [1080P].mkv"},
{"value": ""},
],
[
{
"unit_id": "u0",
"terminal_ids": ["t0"],
"episode_title_suffixes": [],
"media_suffixes": ["[1080P]"],
"title_candidates": [],
"source": "responses-dag-v1",
"fallback": False,
"status": "ok",
}
],
)
self.assertEqual(len(rows), 1)
self.assertEqual(manifest["input_rows"], 3)
self.assertEqual(manifest["matched_rows"], 1)
self.assertEqual(manifest["unmatched_rows"], 2)
self.assertEqual(manifest["status_counts"]["unmatched"], 2)
def test_patch_with_multiple_terminal_ids_maps_to_each_terminal(self) -> None:
with tempfile.TemporaryDirectory() as tmpdir:
rows, manifest, _run = self.run_expand(
Path(tmpdir),
{
"nodes": [],
"terminals": [
{
"terminal_id": "t0",
"node_id": 1,
"prefix": "Shared A - ",
"value_examples": ["Shared A - 01 [1080P].mkv"],
},
{
"terminal_id": "t1",
"node_id": 2,
"prefix": "Shared B - ",
"value_examples": ["Shared B - 01 [1080P].mkv"],
},
],
},
[
{"value": "Shared A - 01 [1080P].mkv"},
{"value": "Shared B - 02 [1080P].mkv"},
],
[
{
"unit_id": "dag-node-1",
"terminal_ids": ["t0", "t1"],
"episode_title_suffixes": ["Finale"],
"media_suffixes": ["[1080P]"],
"title_candidates": ["Shared"],
"source": "responses-dag-v1",
"fallback": False,
"status": "ok",
}
],
)
self.assertEqual([row["terminal_id"] for row in rows], ["t0", "t1"])
self.assertEqual({row["unit_id"] for row in rows}, {"dag-node-1"})
self.assertTrue(all(row["annotations"]["terminal_ids"] == ["t0", "t1"] for row in rows))
self.assertTrue(all(row["episode_title_suffixes"] == ["Finale"] for row in rows))
self.assertEqual(manifest["patch_covered_rows"], 2)
self.assertEqual(manifest["unique_terminals_matched"], 2)
def test_limit_scans_only_requested_source_rows(self) -> None:
with tempfile.TemporaryDirectory() as tmpdir:
rows, manifest, _run = self.run_expand(
Path(tmpdir),
{
"nodes": [],
"terminals": [
{
"terminal_id": "t0",
"node_id": 1,
"prefix": "Limit Show - ",
"value_examples": ["Limit Show - 01 [1080P].mkv"],
}
],
},
[
{"value": "Limit Show - 01 [1080P].mkv"},
{"value": "Limit Show - 02 [1080P].mkv"},
],
[
{
"unit_id": "u0",
"terminal_ids": ["t0"],
"episode_title_suffixes": [],
"media_suffixes": ["[1080P]"],
"title_candidates": [],
"source": "responses-dag-v1",
"fallback": False,
"status": "ok",
}
],
limit=1,
)
self.assertEqual(len(rows), 1)
self.assertEqual(manifest["input_rows"], 1)
if __name__ == "__main__":
unittest.main()
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