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we will need to find a couple of good models before we start development.
1) A word/document summarization model
2) word/document generation model
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- XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages
- Contains many Indian languages
- [Paper](https://arxiv.org/abs/2106.13822)
- [Dataset](https://github.com/csebuetnlp/…
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**Hardware**:
CPU: Xeon® E5-2630 v2 but limited to 16GB as this is what the vast.ai instance has.
GPU: 4x A40 --> Total of 180GB
**OS**
Linux
**python**
3.10
**cuda**
12.2
**packa…
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Reasonable size (7b) open source best LLM. This is useful if we want to apply fact-sheet type chat-bot extraction within a single doc.
- [openchat_3.5](https://huggingface.co/openchat/openchat_3.5)…
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### System Info
```Shell
`Accelerate` version: 0.31.0
- Platform: Linux-5.4.0-171-generic-x86_64-with-glibc2.35
- `accelerate` bash location: /workspace/Thesis/venv/bin/accelerate
- Python vers…
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Dataset Details:
The CNN/DailyMail Dataset, composed of approximately 300,000 distinct news articles authored by journalists from CNN and the Daily Mail, primarily facilitates extractive and abstract…
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Hi @balakreshnan . Thanks for the samples, they are quite helpful. For the sample formreclongtext.md, The summary generated is around 3/4 lines for document of 5 pages, is there any config which can g…
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Excuse me, your paper is about end-to-end extractive summarization, but in the "data" folder, only the labels for abstractive summarization can be found. Are you sure that you evaluated the performanc…
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- [x] Add AAD back
- [x] Enable checking `modifiedOn` is defined in the poller state
- [ ] Enable checking for `warnings` fields in document results for abstractive summarization
- [ ] Enable check…