tapas icon indicating copy to clipboard operation
tapas copied to clipboard

End-to-end neural table-text understanding models.

Results 59 tapas issues
Sort by recently updated
recently updated
newest added

Hi, I am trying to reproduce the results directly listed in the paper: https://arxiv.org/pdf/2103.12011.pdf ![image](https://user-images.githubusercontent.com/1175315/147256938-514b488d-dece-4b83-81c2-cf7e1fdaf914.png) Specifically, I am trying to reproduce the answer to the question "which element is named...

Hello, I am trying to pre-train a tapas model on my data (a set of queries and a table). My first question is that is there any function that can...

I am trying to Fine-tune the pretrained TAPAS WTQ model on a custom dataset. I have used both Hugging face Pytorch code. My dataset has majority of samples with arithmetic...

Thanks for releasing the code. When I run the pipeline locally, only to get three empty folders like "beam-temp-test.tfrecord-3e99843c1d3411ec8a4cfa163ee22da8". And the logs shows "I0925 18:54:12.767069 139992182503232 number_annotation_utils.py:149] Can't consolidate types:...

Hi Niels! In the case of WTQ we have some special logic that tries to find the answer text in the table or that populates the `float_value` field if the...

Dear developers, Could you please share the hyper-parameters used for the table retrieval model to replicate the results [here](https://github.com/google-research/tapas/blob/master/DENSE_TABLE_RETRIEVER.md)? In the paper, you mentioned that you used warmup ratio 0.2...

Hi Team , Thanks for releasing TAPAS , really appreciate your efforts towards the new way of semantic parsing using NLP .I ran your colab demo and it showed quite...

Due to lack of GPU memory,I set batch_size to 32 and gradient_accumulation_steps to 32 when fine-tunning in SQA. The scripts are as follows. ``` SQA_run_cmd="\ CUDA_VISIBLE_DEVICES=1 python ../tapas/run_task_main.py \ --task="SQA"...

Thanks for submitting the notebook about the use of retrieval models on tables (DTR). I'm wondering if is it possible to make predictions with our own tables instead of those...

I am using the pytorch hugginface model (https://huggingface.co/transformers/model_doc/tapas.html) for tablequestion answering task. My data has only the final answer for supervision and no answer co-ordinates or aggregation labels. I have...