Comments (2)
Hi, thank you for your interest in our project!
The Wikipedia paragraphs are stored in .db
files, and you can find an example for the HotpotQA dataset in the script:
https://github.com/AkariAsai/learning_to_retrieve_reasoning_paths/blob/master/quick_start_hotpot.sh
These files can be loaded by the standard sqlite3 library in Python.
from learning_to_retrieve_reasoning_paths.
I close this issue now, but please re-open and let us know if you have any troubles finding or loading the data :)
from learning_to_retrieve_reasoning_paths.
Related Issues (20)
- Some details regarding generating NQ trainset for the reader model HOT 6
- demo.py arg error about NQ HOT 4
- Inconsistent 'answers' types in the nq_reader_train data HOT 1
- `database is locked` while evaluation HOT 1
- How to evaluate the pretrained graph retriever model? HOT 5
- The error when training the graph_retriever in the HotpotQA HOT 5
- Training data construction for reader verifier HOT 3
- json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) HOT 1
- Fine-tuning on own documents? HOT 2
- What the TF-IDF retriever data output mean HOT 3
- A problem about total tranining steps of reader HOT 2
- How to evaluate the supporting facts in the HotPotQA experiment? HOT 5
- How many of the first TF-IDF processing needs to be retained? HOT 5
- The hyperparameters for training the bert-base reader ? HOT 1
- How to train and evaluate the models in HotpotQA distractor setting? HOT 2
- What do output_masks do? HOT 2
- Why are some document titles missing? HOT 2
- sqlite3.OperationalError: unable to open database file HOT 1
- negative documents construction for graph retriever of hotpotQA fullwiki HOT 2
- Wrong links to the training data of the reader models HOT 9
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