Comments (7)
Thanks for the note, Stefan! We'll take a look at the best way to fix this. cc @JunjieHu
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Hi Stefan, I've made a new pull request to fix this issue. Please use the new utils_preprocess.py file to preprocess the data once @sebastianruder merges the PR.
from xtreme.
Hi Stefan, I've merged Junjie's PR. Can you please verify that the latest code fixes this issue? I'm closing this issue. Please verify and reopen if it still persists.
from xtreme.
@melvinjosej and @JunjieHu Thanks for the fix :)
I've just tested it, but the modifications in the download_data.sh
(see 37abe88#diff-91e0bbb7c7da353deb7078bb3e3ed818) will lead to errors, because cd
ing to the panx_dataset
won't work - but the previous commit (see #15) was working :)
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@stefan-it Ahh, you're right. Does this PR bring it back to a working state?
#20
I'll merge it in once you confirm.
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PR is working :)
I can also confirm that there are no consect. empty lines in the datasets, I just re-ran the prediction for all languages 👍
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Great. I've merged my PR. Thanks again @stefan-it for verifying :)
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Related Issues (20)
- explainaboard doesn't work
- There is no AmazonPhotos.zip in the link to download the dataset. How to download the dataset?
- WikiExtractor git cloning error HOT 2
- New tasks in xtreme-r HOT 5
- XLMR results on POS tagging (ja, zh and yo) HOT 2
- Unclear which transformers version should be used when testing Tatoeba HOT 6
- 2513 Segmentation fault: 11 when running Tatoeba HOT 1
- Cannot achieve the XNLI performance in the paper
- TypeError: compute_predictions_logits() takes 12 positional arguments but 13 were given
- XCopa scripts?
- Metrics for sequence tagging tasks dependant on the max_seq_length parameter HOT 1
- Old Russian in Russian UDpos dataset
- Training data for XCOPA
- Evaluation results of PANX task HOT 3
- How to get LAReQA results across different question languages HOT 5
- How is the test data for TyDiQA generated? HOT 3
- Adding a new language
- Tatoeba baseline from XTREME-R
- Missing de translation data in MLQA HOT 1
- [bugs] All results 0 in test with the NER(PANX) task HOT 1
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