Update README.md

README.md

@@ -9,46 +9,21 @@ pipeline_tag: fill-mask
 This is a BERT-base model trained with romanized Manchu data from scratch.
 
 
-- **Developed by:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+# data
 
+manchuBERT utilizes the augmented data following the augmentation method from https://arxiv.org/pdf/2311.17492.pdf
 
+|          **Data **          | **Number of Sentences** |
+|:---------------------------:|:-----------------------:|
+|   Manwén Lˇaodàng–Taizong   |          2,220          |
+|      Ilan gurun i bithe     |          41,904         |
+|      Gin ping mei bithe     |          21,376         |
+|      Yùzhì Q¯ıngwénjiàn     |          11,954         |
+| Yùzhì Zengdìng Q¯ıngwénjiàn |          18,420         |
+|    Manwén Lˇaodàng–Taizu    |          22,578         |
+|   Manchu-Korean Dictionary  |          40,583         |
 
 
-## Bias, Risks, and Limitations
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-## Training Details
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-### Training Data
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-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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-[More Information Needed]
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-### Training Procedure 
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-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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-#### Training Hyperparameters
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-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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-[More Information Needed]
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-## Evaluation
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-<!-- This section describes the evaluation protocols and provides the results. -->
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 ## Citation [optional]