Datasets:

RajkNakka

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[ "Added the dataset card.\r\nRequesting another review." ]

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[ "Thanks a lot, looks good!" ]

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[ "I think @thomwolf may also be working on this one as part of the Babi benchmark in #945 " ]

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[ "Whoops, didn't mean for that to be merged yet (my bad). I'm reaching out to the authors since we'd like their feedback on the best way to have the `author` field anonymized or removed. Will send a patch once they get back to me." ]

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[ "merging since the CI is fixed on master" ]

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[ "the CI error about `social_bias_frames` is fixed on master so it's fine", "created new [PR](https://github.com/huggingface/datasets/pull/1062)", "looks like this PR includes many changes to other files that the ones related to KorNLU\r\nCould you create another branch and another PR please ?", "Wow crazy timing", "hahahaha" ]

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[ "A solution is to have the tokenizer return a list instead of a tensor, and then use `dataset_tok.set_format(type = 'torch')` to convert that list into a tensor. Still not sure if bug.", "It is expected behavior, you should set the format to `\"torch\"` as you mentioned to get pytorch tensors back.\r\nBy default datasets returns pure python objects." ]

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[ "Look like this PR includes changes to many other files than the ones related to xitsonga NER.\r\nCould you create another branch and another PR please ?" ]

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[ "Looks like this PR include changes about many other files than the ones related to big patent.\r\nCould you create another branch and another PR ?", "@lhoestq Just created a new PR here: https://github.com/huggingface/datasets/pull/1087" ]

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[ "is this an issue ?", "Yes @lhoestq, look at the docs site. For example, in https://huggingface.co/docs/datasets/add_dataset.html, look at the indentation in the code block under the sentence:\r\n> Here are the features of the SQuAD dataset for instance, which is taken from the squad dataset loading script:" ]

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[ "looks like this PR contains changes in many other files than the ones for PerSenT\r\ncan you create another branch and another PR ?", "closing since #1142 was merged" ]

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[ "Also the dummy data files are quite big (500KB)\r\nIf you could reduce that that would be nice (just look at the files inside and remove unecessary chunks of texts)\r\nin general dummy data are just a few KB and we suggest to not get higher than 50KB\r\n\r\nHaving light dummy data makes the repo faster to clone" ]

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[ "Neat! Looks like you need a rebase and then should be good to go :) ", "Done, @yjernite, @lhoestq.", "If you agree, we could merge this.", "Hi ! yes sure :) can you just merge master into this branch before we merge ?", "Done @lhoestq " ]

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[ "Please note that this dataset is actually behind a form that one needs to fill. However, the link is direct. I'm not sure what should the approach be in this case.", "also pinging @thomwolf \r\nThe dataset webpage returns a form when trying to download the dataset (form here : http://www.cfilt.iitb.ac.in/iitb_parallel/dataset.html).\r\nHowever the url we get with the form can be used for the dataset script.\r\nShould we ask the authors or use the urls this way ?", "> also pinging @thomwolf\r\n> The dataset webpage returns a form when trying to download the dataset (form here : http://www.cfilt.iitb.ac.in/iitb_parallel/dataset.html).\r\n> However the url we get with the form can be used for the dataset script.\r\n> Should we ask the authors or use the urls this way ?\r\n\r\nI had discussion on this with @thomwolf . We have already sent email to author of this dataset.", "Hi @spatil6 !\r\nAny news from the authors ?", "IIT B folks will add this dataset to repo." ]

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[ "looks good now :) wdyt @yjernite ?", "Looks good to merge for me, can edit the dataset card later if required. Merging" ]

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[ "I'm a bit frustrated now to get this right.", "Hey @zhongpeixiang!\r\nReally nice addition here!\r\n\r\nDid you officially joined the sprint by posting [on the forum thread](https://discuss.huggingface.co/t/open-to-the-community-one-week-team-effort-to-reach-v2-0-of-hf-datasets-library/2176) and joining our slack?\r\nI can't seem to find you there! Should I add you directly with your gmail address?", "> Hey @zhongpeixiang!\r\n> Really nice addition here!\r\n> \r\n> Did you officially joined the sprint by posting [on the forum thread](https://discuss.huggingface.co/t/open-to-the-community-one-week-team-effort-to-reach-v2-0-of-hf-datasets-library/2176) and joining our slack?\r\n> I can't seem to find you there! Should I add you directly with your gmail address?\r\n\r\nThank you for the invitation. This initiative is awesome. Sadly I’m occupied by my thesis writing this month. Good luck 🤗", "As you want @zhongpeixiang (I was maybe not clear but that just mean that by posting on the forum thread that you participated in the current event you will get a special gift (a tee-shirt) for the contribution that you have already done here :-) Nothing more to do)", "> As you want @zhongpeixiang (I was maybe not clear but that just mean that by posting on the forum thread that you participated in the current event you will get a special gift (a tee-shirt) for the contribution that you have already done here :-) Nothing more to do)\r\n\r\nOh, I misunderstood the post. I'm glad to join." ]

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[ "Nice, thanks @yjernite !!" ]

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[ "looks like this PR include changes to other files (sepedi)\r\ncould you try to only include the files related to the addition of sesotho ner ?", "I think i need to clean up my local repo. I am committing everything a fresh after sepedi", "Feel free to ping me when yuo have a clean PR and it's ready to review :)", "closing in favor of #1114 " ]

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[ "Looks good to me, we can ping the authors for more info later. And yes apply `other-task` labels liberally, we can sort them out later :) \r\n\r\nLooks ready to merge when you're ready @joeddav " ]

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[ "THanks!\r\nDone!" ]

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[ "Description: \"A clean data resource containing all explicit time references in a dataset of 52,183 novels whose full text is available via Project Gutenberg and the Hathi Trust Digital Library 2.\" > This is just the Gutenberg part.\r\n\r\nAlso, the paragraph at the top of the file would make a good Dataset Summary in the README :) " ]

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[ "Sorry for this. I deleted sepedi_ner_corpus as per your earlier advise. Let me check. " ]

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[ "Thanks!" ]

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[ "Thanks @sumanthd17 that fixed it. " ]

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[ "@lhoestq please review this PR when you get free", "If the CI fails just because of `RemoteDatasetTest` errors it's fine, they're fixed on master", "> If the CI fails just because of `RemoteDatasetTest` errors it's fine, they're fixed on master\r\n\r\nThe same 3 tests are failing again :(\r\n```\r\nFAILED tests/test_dataset_common.py::RemoteDatasetTest::test_builder_class_norwegian_ner\r\nFAILED tests/test_dataset_common.py::RemoteDatasetTest::test_builder_configs_norwegian_ner\r\nFAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_norwegian_ner\r\n```", "One trick if you want to add more datasets to avoid these errors : you can just rebase the master branch of your fork from the master branch of the repo. Then each time you make a new branch from master on your fork, it will include the fix for these errors", "> One trick if you want to add more datasets to avoid these errors : you can just rebase the master branch of your fork from the master branch of the repo. Then each time you make a new branch from master on your fork, it will include the fix for these errors\r\n\r\nYes, I almost always do that, but somehow seems even this branch got old 😓 \r\nI also do the following if I directly create a new branch locally: `git checkout -b <branchname> upstream/master` so it stays up-to date irrespective of my fork, still don't know how this crept in again", "Merging this one since the CI is fixed on master" ]

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[ "IMO, the problem with this dataset is that it is not really a text/nlp dataset. These are just collections of tweet ids. So, ultimately, one needs to crawl twitter to get the actual text.", "That's true.\r\n\r\n", "at least it's clear in the description that one needs to collect the tweets : \r\n```\r\nThis resource is a result of a generic method for collecting parallel tweets.\r\n```", "Looks like this is failing for other datasets. Should I rebase it and push again?\r\nAlso rebasing and pushing is reflecting changes in many other files (ultimately forcing me to open a new branch and a new PR) any way to avoid this?", "No let me merge this one directly, it's fine", "merging since the CI is fixed on master" ]

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[ "Dupe of #1009 " ]

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[ "feel free to merge/ping me to merge if there're no more changes to do" ]

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[ "This library uses Apache Arrow under the hood to store datasets on disk.\r\nThe advantage of Apache Arrow is that it allows to memory map the dataset. This allows to load datasets bigger than memory and with almost no RAM usage. It also offers excellent I/O speed.\r\n\r\nFor example when you access one element or one batch\r\n```python\r\nfrom datasets import load_dataset\r\n\r\nsquad = load_dataset(\"squad\", split=\"train\")\r\nfirst_element = squad[0]\r\none_batch = squad[:8]\r\n```\r\n\r\nthen only this element/batch is loaded in memory, while the rest of the dataset is memory mapped.", "How can we change how much data is loaded to memory with Arrow? I think that I am having some performance issue with it. When Arrow loads the data from disk it does it in multiprocess? It's almost twice slower training with arrow than in memory.\r\n\r\nEDIT:\r\nMy fault! I had not seen the `dataloader_num_workers` in `TrainingArguments` ! Now I can parallelize and go fast! Sorry, and thanks.", "> How can we change how much data is loaded to memory with Arrow? I think that I am having some performance issue with it. When Arrow loads the data from disk it does it in multiprocess? It's almost twice slower training with arrow than in memory.\r\n\r\nLoading arrow data from disk is done with memory-mapping. This allows to load huge datasets without filling your RAM.\r\nMemory mapping is almost instantaneous and is done within one process.\r\n\r\nThen, the speed of querying examples from the dataset is I/O bounded depending on your disk. If it's an SSD then fetching examples from the dataset will be very fast.\r\nBut since the I/O speed of an SSD is lower than the one of RAM it's expected to be slower to fetch data from disk than from memory.\r\nStill, if you load the dataset in different processes then it can be faster but there will still be the I/O bottleneck of the disk.\r\n\r\n> EDIT:\r\n> My fault! I had not seen the `dataloader_num_workers` in `TrainingArguments` ! Now I can parallelize and go fast! Sorry, and thanks.\r\n\r\nOk let me know if that helps !\r\n" ]

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[ "Could you fix the dummy data before we merge ?\r\nLooks like the dummy `train.csv` is missing", "Thanks @Narsil @lhoestq for adding MeDAL :)" ]

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[ "Dupe" ]

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[ "#978 is working on adding code refinement\r\n\r\nmaybe we should keep the CodeXGlue benchmark (as glue) and don't merge the code_refinement dataset proposed in #978 ?\r\n\r\ncc @reshinthadithyan", "Hi @madlag and @lhoestq , I am extremely interested in getting this dataset into HF's library as I research in this area a lot. I see that it hasn't been updated in a while, but it is very close to being finished. If no one is currently working on this, I'd be happy to do any final touches that might be needed to get this merged.", "Hi @ncoop57 ! Thanks for your interest and sorry for the inactivity on this PR.\r\nSure feel free to create another PR to continue this one ! This one was really close to being merged so I think it won't require that much changes. In addition to my previous comments, there should also be a \"Contributions\" subsection (see the template of the README [here](https://github.com/huggingface/datasets/blob/master/templates/README.md))", "Superseded by https://github.com/huggingface/datasets/pull/2357 ." ]

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[ "Looks like the google drive download failed.\r\nI'm getting a `Google Drive - Quota exceeded` error while looking at the downloaded file.\r\n\r\nWe should consider finding a better host than google drive for this dataset imo\r\nrelated : #873 #864 ", "It is working now, thank you. \r\n\r\nShould I leave this issue open to address the Quota-exceeded error?", "Yes please. It's been happening several times, we definitely need to address it", "Any updates on this one? I'm facing a similar issue trying to add CelebA.", "I've looked into it and couldn't find a solution. This looks like a Google Drive limitation..\r\nPlease try to use other hosts when possible", "The original links are google drive links. Would it be feasible for HF to maintain their own servers for this? Also, I think the same issue must also exist with TFDS.", "It's possible to host data on our side but we should ask the authors. TFDS has the same issue and doesn't have a solution either afaik.\r\nOtherwise you can use the google drive link, but it it's not that convenient because of this quota issue.", "Okay. I imagine asking every author who shares their dataset on Google Drive will also be cumbersome.", "I am getting this error as well. Is there a fix?", "Not as long as the data is stored on GG drive unfortunately.\r\nMaybe we can ask if there's a mirror ?\r\n\r\nHi @JafferWilson is there a download link to get cnn dailymail from another host than GG drive ?\r\n\r\nTo give you some context, this library provides tools to download and process datasets. For CNN DailyMail the data are downloaded from the link you provide on your github repository. Unfortunately because of GG drive quotas, many users are not able to load this dataset.", "The following copy of CNN/DM dataset, fixed the problem for me:\r\nhttps://huggingface.co/datasets/ccdv/cnn_dailymail", "Thanks for the link @mrazizi !\r\n\r\nApparently the original authors don't host the dataset themselves (\"for legal reasons\", source [here](https://github.com/abisee/cnn-dailymail/issues/9))." ]

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[ "Blocked @k125-ak ;) Bye-bye" ]

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[ "Looks like the PR includes commits about many other files.\r\nCould you create a clean branch from master, and create another PR ?", "Sorry, will do that. " ]

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[ "Hi @hfawaz ! This is working fine for me. Is it a repeated occurence? Have you tried from the latest verion?", "Hi, it seems a connection problem. \r\nNow it says: \r\n`ConnectionError: Couldn't reach https://amazon-reviews-ml.s3-us-west-2.amazonaws.com/json/train/dataset_ja_train.json`" ]

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[ "my implementation of sharding per TPU core: https://github.com/google-research/ruse/blob/d4dd58a2d8efe0ffb1a9e9e77e3228d6824d3c3c/seq2seq/trainers/t5_trainer.py#L316 \r\nmy implementation of dataloader for this case https://github.com/google-research/ruse/blob/d4dd58a2d8efe0ffb1a9e9e77e3228d6824d3c3c/seq2seq/tasks/tasks.py#L496 ", "Hi! You can use the `assert not bool(dataset.cache_files)` assertion to ensure your data is in memory. And I suggest using `accelerate` for distributed training." ]

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[ "merging since the CI is fixed on master" ]

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[ "CI failures seem to be unrelated (related to `norwegian_ner`)\r\n```\r\nFAILED tests/test_dataset_common.py::RemoteDatasetTest::test_builder_class_norwegian_ner\r\nFAILED tests/test_dataset_common.py::RemoteDatasetTest::test_builder_configs_norwegian_ner\r\nFAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_norwegian_ner\r\n```", "you can just rebase from master to fix the CI :) ", "can you just rebase from master before we merge ?", "Sorry, the rebase from master went horribly wrong, I guess I'll just open another PR\r\n\r\nClosing this one due to a mistake in rebasing :(", "Continued in #1014 " ]

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[ "This dataset already exists apparently, sorry :/ \r\nsee\r\nhttps://github.com/huggingface/datasets/blob/master/datasets/gap/gap.py\r\n\r\nFeel free to re-use the dataset card you did for `/datasets/gap`\r\n", "oh heck, my bad 🤦‍♂️ sorry", "I think you should also delete this branch." ]

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[ "can't find the Whoa file since there' nothing left", "The classic `rm -rf` command - nice one" ]

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