infinitejoy
commited on
Commit
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cb5fb7f
1
Parent(s):
9e332cb
eval results
Browse files
eval.py
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#!/usr/bin/env python3
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import argparse
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import re
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from typing import Dict
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from datasets import Audio, Dataset, load_dataset, load_metric
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from transformers import AutoFeatureExtractor, pipeline
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def log_results(result: Dataset, args: Dict[str, str]):
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"""DO NOT CHANGE. This function computes and logs the result metrics."""
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log_outputs = args.log_outputs
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dataset_id = "_".join(args.dataset.split("/") + [args.config, args.split])
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# load metric
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wer = load_metric("wer")
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cer = load_metric("cer")
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# compute metrics
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wer_result = wer.compute(references=result["target"], predictions=result["prediction"])
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cer_result = cer.compute(references=result["target"], predictions=result["prediction"])
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# print & log results
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result_str = f"WER: {wer_result}\n" f"CER: {cer_result}"
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print(result_str)
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with open(f"{dataset_id}_eval_results.txt", "w") as f:
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f.write(result_str)
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# log all results in text file. Possibly interesting for analysis
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if log_outputs is not None:
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pred_file = f"log_{dataset_id}_predictions.txt"
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target_file = f"log_{dataset_id}_targets.txt"
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with open(pred_file, "w") as p, open(target_file, "w") as t:
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# mapping function to write output
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def write_to_file(batch, i):
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p.write(f"{i}" + "\n")
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p.write(batch["prediction"] + "\n")
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t.write(f"{i}" + "\n")
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t.write(batch["target"] + "\n")
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result.map(write_to_file, with_indices=True)
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def normalize_text(text: str) -> str:
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"""DO ADAPT FOR YOUR USE CASE. this function normalizes the target text."""
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chars_to_ignore_regex = '[,?.!\-\;\:"“%‘”�—’…–]' # noqa: W605 IMPORTANT: this should correspond to the chars that were ignored during training
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text = re.sub(chars_to_ignore_regex, "", text.lower())
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# In addition, we can normalize the target text, e.g. removing new lines characters etc...
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# note that order is important here!
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token_sequences_to_ignore = ["\n\n", "\n", " ", " "]
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for t in token_sequences_to_ignore:
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text = " ".join(text.split(t))
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return text
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def main(args):
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# load dataset
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dataset = load_dataset(args.dataset, args.config, split=args.split, use_auth_token=True)
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# for testing: only process the first two examples as a test
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dataset = dataset.select(range(10))
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# load processor
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feature_extractor = AutoFeatureExtractor.from_pretrained(args.model_id)
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sampling_rate = feature_extractor.sampling_rate
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# resample audio
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dataset = dataset.cast_column("audio", Audio(sampling_rate=sampling_rate))
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# load eval pipeline
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asr = pipeline("automatic-speech-recognition", model=args.model_id)
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# map function to decode audio
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def map_to_pred(batch):
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prediction = asr(
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batch["audio"]["array"], chunk_length_s=args.chunk_length_s, stride_length_s=args.stride_length_s
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)
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batch["prediction"] = prediction["text"]
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batch["target"] = normalize_text(batch["sentence"])
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return batch
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# run inference on all examples
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result = dataset.map(map_to_pred, remove_columns=dataset.column_names)
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# compute and log_results
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# do not change function below
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log_results(result, args)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--model_id", type=str, required=True, help="Model identifier. Should be loadable with 🤗 Transformers"
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)
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parser.add_argument(
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"--dataset",
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type=str,
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required=True,
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help="Dataset name to evaluate the `model_id`. Should be loadable with 🤗 Datasets",
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)
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parser.add_argument(
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"--config", type=str, required=True, help="Config of the dataset. *E.g.* `'en'` for Common Voice"
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)
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parser.add_argument("--split", type=str, required=True, help="Split of the dataset. *E.g.* `'test'`")
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parser.add_argument(
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"--chunk_length_s", type=float, default=None, help="Chunk length in seconds. Defaults to 5 seconds."
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)
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parser.add_argument(
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"--stride_length_s", type=float, default=None, help="Stride of the audio chunks. Defaults to 1 second."
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)
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parser.add_argument(
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"--log_outputs", action="store_true", help="If defined, write outputs to log file for analysis."
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)
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args = parser.parse_args()
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main(args)
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log_mozilla-foundation_common_voice_7_0_or_test_predictions.txt
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0
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ପ<s>ୋ<s>ର<s>ରେ<s> <s>ବ<s>ା<s>ଲ<s>ା<s> ଗ<s>ସ୍<s>ତ<s>ି<s> ଭ<s>ା<s>ଣ୍ଡ<s>ୀ<s> <s>ଗ<s>ୋ<s>ପ<s>ା<s>ଳ<s> ପ<s>ରୋ<s>ଠ<s>ା<s>ରୁ<s> <s>ଦ<s>େ<s>ଢ଼<s> କ<s>ୋ<s>ସ<s> <s>ଦ<s>ୁ<s>ର<s> ।
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1
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ଆ<s>ଜ<s>ି<s>ମ<s>ଳ<s>ତ<s>ୀ<s>ର<s> <s>ଆ<s>ଦ<s>ର<s> <s>ଦ<s>େ<s>ଖ<s>େ<s> <s>କ<s>ି<s>ଏ
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2
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ହ<s>ୁ<s>ଏ<s> <s>ତ<s> <s>ମ<s>ଙ୍<s>ଗ<s>ରା<s>ଜ<s>େ<s> ବ<s>ୁ<s>ଜ<s>ି<s>ଚ<s>ନ୍<s>ତ<s>ି<s> <s>ହ<s>ଲ<s>ଗ<s>ୁ<s> <s>ଚ<s>ି<s>ର<s>କ<s>ା<s>ଳ<s> ନ<s>େ<s>ମ<s>ନ୍<s>ତ<s>େ<s> ବ<s>ି<s>ଦ<s>ା<s>ୟ<s> <s>ଗ<s>ହ<s>ଣ<s> <s>କ<s>ଲ<s>ା<s> ।
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3
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ତ<s>ା<s>ହ<s>ା<s>ଲ<s>େ ଆ<s>ପ<s>ଣ<s> ଘ<s>ର<s> ପ<s>ା<s>ଣ<s>ି<s> ମ<s>ା<s>ଠ<s>ି<s>ଆା<s>ରୁ<s> <s>ତ<s> <s>ମ<s>ା<s>ଚ<s> ଭା<s>ହା<s>ର<s>ଥ<s>ାନ୍<s>ଦ<s>େ<s> ।
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4
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ତ<s>ହ<s>ି<s>ଁ <s>ଆ<s>ର<s> ଦ<s>ି<s>ନ<s> <s>ଠ<s>ା<s>ର<s>ୁ<s> <s>ଚ<s>ା<s>ର<s>ି<s>ଦ<s>ି<s>ନ<s> <s>ଜ<s>ା<s>ଏ<s> ଭ<s>ଗ<s>ୁ<s>ମ<s>ା<s>ନ<s>ଙ<s>କ<s> <s>ଗ<s>ା<s> ମ<s>ଦ<s>୍<s>ଆ<s>ର<s>େ<s> କ<s>େ<s>ହ<s>ି<s> <s>ଦ<s>େ<s>ଖ<s>ି<s> ନ<s>ା<s>ହ<s>ି<s>ଁ ।
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5
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ତ<s>େ<s>ବ<s>େ<s> ଆ<s>ଜ<s>ି<s> ଏ<s>ତ<s>େ<s> <s>ବ<s>ା<s>କ<s>ୁ<s>ଳ<s> <s>କ<s>ି<s> ପ<s>ା<s>ହ<s>ଁ
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6
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ବ<s>ା<s>ପ<s> <s>ଛ<s>େ<s>ଉ<s>ଉ<s>ଁ <s>ଡ<s>ଟ<s>ି<s> ଲ<s>ା<s>ଗ<s> <s>କ<s>ି<s>ଏ ଧ<s>ା<s>ଇଁ<s>ବ<s> ।
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7
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ଆ<s>ଉ<s> <s>ମ<s>ୁ<s>ଁ<s> ବ<s>ୋ<s>ଲ<s>ି<s> <s>ସ<s>ି<s>ନ<s>ା<s> <s>ତ<s>ୋ<s>ର<s> ମ<s>ା<s>ଣ<s> ପ<s>ା<s>ଙ୍<s>ଚ<s>ଟ<s>ଙ୍<s>କ<s>ା<s>ରେ<s> ନ<s>େ<s>ଲ<s>ି<s>
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8
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ବ<s>ା<s> <s>ହ<s>ାନ<s>ତ<s> <s>ପ<s>ା<s>କୁ<s>ଲ<s>ି<s>ର<s>େ<s> <s>ମ<s>ୁ<s>ହ<s>ଁ<s>ର<s>ୁ<s> <s>ପ<s>ୋ<s>ସ<s>ପ<s>ସ<s> ଜ<s>ା<s>ଳ<s> ପ<s>ୋ<s>ଛ<s>ି<s> ପ<s>କ<s>ା<s>ଉ<s>ଛ<s>ନ୍<s>ତ<s>ି<s> ।
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9
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ଏ<s>ଣ<s>ି<s>ଚ<s> <s>ପ<s>ି<s>ଚ୍<s>ୁ<s> ଲ<s>ୋ<s>କ<s> <s>ପ<s>ା<s>ଣ<s>ି<s> <s>ମ<s>ୁ<s>ଠ<s>ା<s>ଏ<s> ପ<s>ା<s>ଇ<s>ବ<s>ା<s>ର<s> <s>ବ<s>ା<s>ଟ<s> <s>କ<s>ର<s> ।
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log_mozilla-foundation_common_voice_7_0_or_test_targets.txt
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0
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ମକ୍ରାମପୁରରେ ବାଲାଗସ୍ତି ଫାଣ୍ତି ଗୋପାଳପୁରଠାରୁ ଦେଢ଼କୋଶ ଦୂର ।
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1
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ଆଜି ମଳତୀର ଆଦର ଦେଖେ କିଏ
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2
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ହୁଏତ ମଙ୍ଗରାଜେ ବୁଝିଛନ୍ତି ଫଲ୍ଗୁ ଚିରକାଳ ନିମନ୍ତେ ବିଦାୟ ଗ୍ରହଣ କଲା ।
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3
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ତାହେଲେ ଆପଣଙ୍କ ଘର ପାଣିମାଠିଆରୁ ତ ମାଛ ବାହାରୁଥାନ୍ତେ
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4
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ତହିଁଆର ଦିନଠାରୁ ଚାରିଦିନ ଯାଏ ଭଗବାନକୁ ଗାଁ ମଧ୍ୟରେ କେହି ଦେଖିନାହିଁ ।
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5
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ତେବେ ଆଜି ଏତେ ବ୍ୟାକୁଳ କି ପାଇଁ
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6
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ବାପ ଛେଉଣ୍ଡଟି ଲାଗି କିଏ ଧାଇଁବ
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7
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ଆଉ ମୁଁ ବୋଲି ସିନା ତୋର ମାଣ ପାଞ୍ଚ ଟଙ୍କାରେ ନେଲି
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8
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ବାଁ ହାତ ପାପୁଲିରେ ମୁହଁରୁ ପୋଷ ପୋଷ ଝାଳ ପୋଛିପକାଉଅଛନ୍ତି ।
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9
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ଏଣିକି ପିତୃଲୋକ ପାଣି ମୁଠାଏ ପାଇବାର ବାଟ କର ।
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mozilla-foundation_common_voice_7_0_or_test_eval_results.txt
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WER: 1.0921052631578947
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CER: 2.5547945205479454
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