html_url stringlengths 48 51 | title stringlengths 5 280 | comments stringlengths 63 51.8k | body stringlengths 0 36.2k ⌀ | comment_length int64 16 1.52k | text stringlengths 159 54.1k | embeddings listlengths 768 768 |
|---|---|---|---|---|---|---|
https://github.com/huggingface/datasets/issues/590 | The process cannot access the file because it is being used by another process (windows) | Hi, which version of `nlp` are you using?
By the way we'll be releasing today a significant update fixing many issues (but also comprising a few breaking changes).
You can see more informations here #545 and try it by installing from source from the master branch. | Hi, I consistently get the following error when developing in my PC (windows 10):
```
train_dataset = train_dataset.map(convert_to_features, batched=True)
File "C:\Users\saareliad\AppData\Local\Continuum\miniconda3\envs\py38\lib\site-packages\nlp\arrow_dataset.py", line 970, in map
shutil.move(tmp_file.... | 46 | The process cannot access the file because it is being used by another process (windows)
Hi, I consistently get the following error when developing in my PC (windows 10):
```
train_dataset = train_dataset.map(convert_to_features, batched=True)
File "C:\Users\saareliad\AppData\Local\Continuum\miniconda3\env... | [
-0.17656733095645905,
0.1705411970615387,
-0.03383491560816765,
0.19725196063518524,
0.2760632038116455,
0.04698627442121506,
0.24616366624832153,
0.3142569363117218,
0.13175557553768158,
0.13720455765724182,
-0.06122071295976639,
0.5293021202087402,
-0.3115153908729553,
-0.068044036626815... |
https://github.com/huggingface/datasets/issues/590 | The process cannot access the file because it is being used by another process (windows) | Ok, it's probably fixed on master. Otherwise if you can give me a fully self-contained exemple to reproduce the error, I can try to investigate. | Hi, I consistently get the following error when developing in my PC (windows 10):
```
train_dataset = train_dataset.map(convert_to_features, batched=True)
File "C:\Users\saareliad\AppData\Local\Continuum\miniconda3\envs\py38\lib\site-packages\nlp\arrow_dataset.py", line 970, in map
shutil.move(tmp_file.... | 25 | The process cannot access the file because it is being used by another process (windows)
Hi, I consistently get the following error when developing in my PC (windows 10):
```
train_dataset = train_dataset.map(convert_to_features, batched=True)
File "C:\Users\saareliad\AppData\Local\Continuum\miniconda3\env... | [
-0.21146592497825623,
0.066560298204422,
-0.045968394726514816,
0.27895107865333557,
0.3627558946609497,
0.13125833868980408,
0.37039753794670105,
0.24822326004505157,
0.2258245199918747,
0.2196422517299652,
-0.1714613288640976,
0.2673841118812561,
-0.1824057400226593,
-0.12882374227046967... |
https://github.com/huggingface/datasets/issues/590 | The process cannot access the file because it is being used by another process (windows) | I get the same behavior, on Windows, when `map`ping a function to a loaded dataset.
The error doesn't occur if I re-run the cell a second time though!
I'm on version 1.0.1. | Hi, I consistently get the following error when developing in my PC (windows 10):
```
train_dataset = train_dataset.map(convert_to_features, batched=True)
File "C:\Users\saareliad\AppData\Local\Continuum\miniconda3\envs\py38\lib\site-packages\nlp\arrow_dataset.py", line 970, in map
shutil.move(tmp_file.... | 32 | The process cannot access the file because it is being used by another process (windows)
Hi, I consistently get the following error when developing in my PC (windows 10):
```
train_dataset = train_dataset.map(convert_to_features, batched=True)
File "C:\Users\saareliad\AppData\Local\Continuum\miniconda3\env... | [
-0.14136269688606262,
0.01151418685913086,
-0.012100471183657646,
0.08943222463130951,
0.3479512929916382,
0.05879620462656021,
0.4676164388656616,
0.19856855273246765,
0.23686754703521729,
0.24605996906757355,
-0.20521816611289978,
0.2554389536380768,
-0.07080398499965668,
-0.214947775006... |
https://github.com/huggingface/datasets/issues/590 | The process cannot access the file because it is being used by another process (windows) | @saareliad I got the same issue that troubled me quite a while. Unfortunately, there are no good answers to this issue online, I tried it on Linux and that's absolutely fine. After hacking the source code, I solved this problem as follows.
In the source code file: arrow_dataset.py -> _map_single(...)
change
```p... | Hi, I consistently get the following error when developing in my PC (windows 10):
```
train_dataset = train_dataset.map(convert_to_features, batched=True)
File "C:\Users\saareliad\AppData\Local\Continuum\miniconda3\envs\py38\lib\site-packages\nlp\arrow_dataset.py", line 970, in map
shutil.move(tmp_file.... | 111 | The process cannot access the file because it is being used by another process (windows)
Hi, I consistently get the following error when developing in my PC (windows 10):
```
train_dataset = train_dataset.map(convert_to_features, batched=True)
File "C:\Users\saareliad\AppData\Local\Continuum\miniconda3\env... | [
-0.10467519611120224,
0.10746137797832489,
-0.02333158254623413,
0.22696198523044586,
0.3214995265007019,
0.000790715217590332,
0.4211469888687134,
0.19088657200336456,
0.19516855478286743,
0.19227313995361328,
-0.17674264311790466,
0.36074236035346985,
-0.17432688176631927,
-0.26703634858... |
https://github.com/huggingface/datasets/issues/590 | The process cannot access the file because it is being used by another process (windows) | @wangcongcong123 thanks for sharing.
(BTW I also solved it locally on windows by putting the problematic line under try except and not using cache... On windows I just needed 1% of the dataset anyway) | Hi, I consistently get the following error when developing in my PC (windows 10):
```
train_dataset = train_dataset.map(convert_to_features, batched=True)
File "C:\Users\saareliad\AppData\Local\Continuum\miniconda3\envs\py38\lib\site-packages\nlp\arrow_dataset.py", line 970, in map
shutil.move(tmp_file.... | 34 | The process cannot access the file because it is being used by another process (windows)
Hi, I consistently get the following error when developing in my PC (windows 10):
```
train_dataset = train_dataset.map(convert_to_features, batched=True)
File "C:\Users\saareliad\AppData\Local\Continuum\miniconda3\env... | [
-0.16601265966892242,
-0.03783579170703888,
-0.05578046292066574,
0.2940465807914734,
0.354061484336853,
0.15226581692695618,
0.3368763327598572,
0.1749325543642044,
0.2806837260723114,
0.22505377233028412,
-0.1342354714870453,
0.21582235395908356,
-0.14048521220684052,
-0.1683882176876068... |
https://github.com/huggingface/datasets/issues/580 | nlp re-creates already-there caches when using a script, but not within a shell | Couln't reproduce on my side :/
let me know if you manage to reproduce on another env (colab for example) | `nlp` keeps creating new caches for the same file when launching `filter` from a script, and behaves correctly from within the shell.
Example: try running
```
import nlp
hans_easy_data = nlp.load_dataset('hans', split="validation").filter(lambda x: x['label'] == 0)
hans_hard_data = nlp.load_dataset('hans', s... | 20 | nlp re-creates already-there caches when using a script, but not within a shell
`nlp` keeps creating new caches for the same file when launching `filter` from a script, and behaves correctly from within the shell.
Example: try running
```
import nlp
hans_easy_data = nlp.load_dataset('hans', split="validatio... | [
0.014054756611585617,
0.12712451815605164,
0.008556190878152847,
0.03595905750989914,
-0.007800910621881485,
-0.26379698514938354,
0.15511208772659302,
0.1553376019001007,
0.3577837646007538,
-0.1724364310503006,
-0.15744808316230774,
0.28798216581344604,
-0.01591603085398674,
-0.140979066... |
https://github.com/huggingface/datasets/issues/577 | Some languages in wikipedia dataset are not loading | Some wikipedia languages have already been processed by us and are hosted on our google storage. This is the case for "fr" and "en" for example.
For other smaller languages (in terms of bytes), they are directly downloaded and parsed from the wikipedia dump site.
Parsing can take some time for languages with hundre... | Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am loading them:
```
import nlp
langs = ['ar'. 'af', '... | 88 | Some languages in wikipedia dataset are not loading
Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am load... | [
0.2373756319284439,
-0.20888608694076538,
-0.13522124290466309,
0.42521506547927856,
0.12337706983089447,
0.27589401602745056,
0.13138186931610107,
0.13569505512714386,
0.7319017052650452,
-0.22898875176906586,
0.05221089720726013,
0.02350641041994095,
0.1044931635260582,
-0.22097130119800... |
https://github.com/huggingface/datasets/issues/577 | Some languages in wikipedia dataset are not loading | Ok, thanks for clarifying, that makes sense. I will time those examples later today and post back here.
Also, it seems that not all dumps should use the same date. For instance, I was checking the Spanish dump doing the following:
```
data = nlp.load_dataset('wikipedia', '20200501.es', beam_runner='DirectRunner', ... | Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am loading them:
```
import nlp
langs = ['ar'. 'af', '... | 252 | Some languages in wikipedia dataset are not loading
Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am load... | [
0.3074042499065399,
-0.11316350847482681,
-0.11432743072509766,
0.2666955590248108,
0.06793317198753357,
0.21595034003257751,
0.18864238262176514,
0.18828622996807098,
0.6027124524116516,
-0.20036406815052032,
0.03297998383641243,
0.08836720883846283,
0.14324304461479187,
-0.28625628352165... |
https://github.com/huggingface/datasets/issues/577 | Some languages in wikipedia dataset are not loading | Thanks ! This will be very helpful.
About the date issue, I think it's possible to use another date with
```python
load_dataset("wikipedia", language="es", date="...", beam_runner="...")
```
However we've not processed wikipedia dumps for other dates than 20200501 (yet ?)
One more thing that is specific t... | Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am loading them:
```
import nlp
langs = ['ar'. 'af', '... | 77 | Some languages in wikipedia dataset are not loading
Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am load... | [
0.1844167560338974,
-0.16126926243305206,
-0.14086340367794037,
0.34259384870529175,
0.07970838248729706,
0.2668137550354004,
0.19868773221969604,
0.14619360864162445,
0.7380702495574951,
-0.26083576679229736,
0.11710456758737564,
0.10790873318910599,
0.04828749597072601,
-0.18682333827018... |
https://github.com/huggingface/datasets/issues/577 | Some languages in wikipedia dataset are not loading | Cool! Thanks for the trick regarding different dates!
I checked the download/processing time for retrieving the Arabic Wikipedia dump, and it took about 3.2 hours. I think that this may be a bit impractical when it comes to working with multiple languages (although I understand that storing those datasets in your Go... | Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am loading them:
```
import nlp
langs = ['ar'. 'af', '... | 202 | Some languages in wikipedia dataset are not loading
Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am load... | [
0.245188370347023,
-0.14995624125003815,
-0.1770796924829483,
0.405218243598938,
0.06322813034057617,
0.2607440948486328,
0.24581585824489594,
0.11125463247299194,
0.6888957619667053,
-0.26644718647003174,
-0.021399764344096184,
0.006338872015476227,
0.08565153181552887,
-0.251418620347976... |
https://github.com/huggingface/datasets/issues/577 | Some languages in wikipedia dataset are not loading | > About the date issue, I think it's possible to use another date with
> ```python
> load_dataset("wikipedia", language="es", date="...", beam_runner="...")
> ```
I tried your suggestion about the date and the function does not accept the language and date keywords. I tried both on `nlp` v0.4 and the new `dataset... | Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am loading them:
```
import nlp
langs = ['ar'. 'af', '... | 841 | Some languages in wikipedia dataset are not loading
Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am load... | [
0.24674098193645477,
-0.0418635755777359,
-0.12103131413459778,
0.3122992217540741,
0.10074753314256668,
0.2002001404762268,
0.1836346685886383,
0.10857462882995605,
0.6142445206642151,
-0.28036439418792725,
0.11898764967918396,
0.2007734328508377,
0.03452860563993454,
-0.13633643090724945... |
https://github.com/huggingface/datasets/issues/577 | Some languages in wikipedia dataset are not loading | Hey @gaguilar ,
I just found the ["char2subword" paper](https://arxiv.org/pdf/2010.12730.pdf) and I'm really interested in trying it out on own vocabs/datasets like for historical texts (I've already [trained some lms](https://github.com/stefan-it/europeana-bert) on newspaper articles with OCR errors).
Do you pla... | Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am loading them:
```
import nlp
langs = ['ar'. 'af', '... | 57 | Some languages in wikipedia dataset are not loading
Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am load... | [
0.39061152935028076,
-0.24585925042629242,
-0.09045103192329407,
0.41701483726501465,
0.023460015654563904,
0.16347089409828186,
0.18495145440101624,
0.1755523681640625,
0.5110622644424438,
-0.26570773124694824,
0.01579909771680832,
-0.17712081968784332,
-0.016337603330612183,
-0.104266136... |
https://github.com/huggingface/datasets/issues/577 | Some languages in wikipedia dataset are not loading | Hi @stefan-it! Thanks for your interest in our work! We do plan to release the code, but we will make it available once the paper has been published at a conference. Sorry for the inconvenience!
Hi @lhoestq, do you have any insights for this issue by any chance? Thanks! | Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am loading them:
```
import nlp
langs = ['ar'. 'af', '... | 49 | Some languages in wikipedia dataset are not loading
Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am load... | [
0.24030379951000214,
-0.24841643869876862,
-0.16310495138168335,
0.4403238892555237,
0.17373503744602203,
0.248884379863739,
0.14975526928901672,
0.12106174230575562,
0.7601813673973083,
-0.22200419008731842,
0.022222159430384636,
0.07134075462818146,
0.09548349678516388,
-0.18489857017993... |
https://github.com/huggingface/datasets/issues/577 | Some languages in wikipedia dataset are not loading | This is an issue on the `mwparserfromhell` side. You could try to update `mwparserfromhell` and see if it fixes the issue. If it doesn't we'll have to create an issue on their repo for them to fix it.
But first let's see if the latest version of `mwparserfromhell` does the job. | Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am loading them:
```
import nlp
langs = ['ar'. 'af', '... | 51 | Some languages in wikipedia dataset are not loading
Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am load... | [
0.08100499212741852,
-0.1919708549976349,
-0.14558760821819305,
0.35701900720596313,
0.14171059429645538,
0.22447291016578674,
0.12847168743610382,
0.16985146701335907,
0.7591436505317688,
-0.1323031634092331,
0.12581802904605865,
0.06514813750982285,
0.0723557099699974,
-0.225641191005706... |
https://github.com/huggingface/datasets/issues/577 | Some languages in wikipedia dataset are not loading | I think the work around as suggested in the issue [#886] is not working for several languages, such as `id`. For example, I tried all the dates to download dataset for `id` langauge from the following link: (https://github.com/huggingface/datasets/pull/886) [https://dumps.wikimedia.org/idwiki/](https://dumps.wikimedia... | Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am loading them:
```
import nlp
langs = ['ar'. 'af', '... | 274 | Some languages in wikipedia dataset are not loading
Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am load... | [
0.180014967918396,
-0.15234170854091644,
-0.09894895553588867,
0.46681708097457886,
0.10063397139310837,
0.24233272671699524,
0.14869368076324463,
0.1840965300798416,
0.7133530974388123,
-0.25629180669784546,
-0.029333120211958885,
0.08793170005083084,
0.13798801600933075,
-0.0704495906829... |
https://github.com/huggingface/datasets/issues/577 | Some languages in wikipedia dataset are not loading | Hi ! The link https://dumps.wikimedia.org/idwiki/20210501/dumpstatus.json seems to be working fine for me.
Regarding the time outs, it must come either from an issue on the wikimedia host side, or from your internet connection.
Feel free to try again several times. | Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am loading them:
```
import nlp
langs = ['ar'. 'af', '... | 40 | Some languages in wikipedia dataset are not loading
Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am load... | [
0.19206838309764862,
-0.26025789976119995,
-0.14161716401576996,
0.3762245178222656,
0.1157502755522728,
0.21210727095603943,
0.16455592215061188,
0.1551884412765503,
0.7062774300575256,
-0.2246861308813095,
0.11798059940338135,
0.04964049160480499,
0.23438438773155212,
-0.2096704095602035... |
https://github.com/huggingface/datasets/issues/577 | Some languages in wikipedia dataset are not loading | I was trying to download dataset for `es` language, however I am getting the following error:
```
dataset = load_dataset('wikipedia', language='es', date="20210320", beam_runner='DirectRunner')
```
```
Downloading and preparing dataset wikipedia/20210320.es (download: Unknown size, generated: Unknown size, post... | Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am loading them:
```
import nlp
langs = ['ar'. 'af', '... | 481 | Some languages in wikipedia dataset are not loading
Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am load... | [
0.1763545423746109,
-0.16776308417320251,
-0.17183959484100342,
0.4323381185531616,
0.17075999081134796,
0.28319084644317627,
0.16346152126789093,
0.21039950847625732,
0.720369815826416,
-0.22967316210269928,
0.08277226239442825,
0.03249460458755493,
0.0824812799692154,
-0.1710958480834961... |
https://github.com/huggingface/datasets/issues/577 | Some languages in wikipedia dataset are not loading | Hi ! This looks related to this issue: https://github.com/huggingface/datasets/issues/1994
Basically the parser that is used (mwparserfromhell) has some issues for some pages in `es`.
We already reported some issues for `es` on their repo at https://github.com/earwig/mwparserfromhell/issues/247 but it looks like ther... | Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am loading them:
```
import nlp
langs = ['ar'. 'af', '... | 60 | Some languages in wikipedia dataset are not loading
Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am load... | [
0.14541161060333252,
-0.3527691662311554,
-0.1282092183828354,
0.45220452547073364,
0.12668856978416443,
0.25791946053504944,
0.08209116756916046,
0.12082965672016144,
0.6645292639732361,
-0.23176689445972443,
0.049037061631679535,
0.09631974250078201,
0.10076051205396652,
-0.1433961838483... |
https://github.com/huggingface/datasets/issues/577 | Some languages in wikipedia dataset are not loading | The issue:
```
KeyError: "000nbsp [while running 'train/Clean content']"
```
reported in comments:
- https://github.com/huggingface/datasets/issues/577#issuecomment-701890059 (by @gaguilar)
- https://github.com/huggingface/datasets/issues/577#issuecomment-879513227 (by @mmiakashs)
was normally fixed in the `mw... | Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am loading them:
```
import nlp
langs = ['ar'. 'af', '... | 40 | Some languages in wikipedia dataset are not loading
Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am load... | [
0.11208535730838776,
-0.33478233218193054,
-0.0816112607717514,
0.4528144598007202,
0.1340722292661667,
0.15983456373214722,
0.09919455647468567,
0.15702354907989502,
0.657012403011322,
-0.16780410706996918,
0.03524334728717804,
0.09851246327161789,
0.06998304277658463,
-0.0001710616052150... |
https://github.com/huggingface/datasets/issues/577 | Some languages in wikipedia dataset are not loading | mwparserfromhell 0.7 has still not been released, but you might have luck with the dev version:
`pip install git+https://github.com/earwig/mwparserfromhell.git@0f89f44` | Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am loading them:
```
import nlp
langs = ['ar'. 'af', '... | 19 | Some languages in wikipedia dataset are not loading
Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am load... | [
0.03499908372759819,
-0.2427133172750473,
-0.13987573981285095,
0.3306275010108948,
0.07375647127628326,
0.13180184364318848,
0.143483966588974,
0.19171848893165588,
0.7380785346031189,
-0.14079882204532623,
0.17291490733623505,
0.05667459964752197,
0.04877695068717003,
-0.2089086920022964... |
https://github.com/huggingface/datasets/issues/575 | Couldn't reach certain URLs and for the ones that can be reached, code just blocks after downloading. | Update:
The imdb download completed after a long time (about 45 mins). Ofcourse once download loading was instantaneous. Also, the loaded object was of type `arrow_dataset`.
The urls for glue still doesn't work though. | Hi,
I'm following the [quick tour](https://huggingface.co/nlp/quicktour.html) and tried to load the glue dataset:
```
>>> from nlp import load_dataset
>>> dataset = load_dataset('glue', 'mrpc', split='train')
```
However, this ran into a `ConnectionError` saying it could not reach the URL (just pasting the la... | 34 | Couldn't reach certain URLs and for the ones that can be reached, code just blocks after downloading.
Hi,
I'm following the [quick tour](https://huggingface.co/nlp/quicktour.html) and tried to load the glue dataset:
```
>>> from nlp import load_dataset
>>> dataset = load_dataset('glue', 'mrpc', split='train')
... | [
-0.11263629794120789,
-0.014818251132965088,
-0.05144684016704559,
0.24990493059158325,
0.21506494283676147,
-0.10804913938045502,
-0.00230485200881958,
0.11710949242115021,
0.14417697489261627,
-0.1348838061094284,
-0.4256683588027954,
-0.0689154788851738,
0.14472170174121857,
0.128969624... |
https://github.com/huggingface/datasets/issues/575 | Couldn't reach certain URLs and for the ones that can be reached, code just blocks after downloading. | I am also seeing a similar error when running the following:
```
import nlp
dataset = load_dataset('cola')
```
Error:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/js11133/.conda/envs/jiant/lib/python3.8/site-packages/nlp/load.py", line 509, in load_dataset
m... | Hi,
I'm following the [quick tour](https://huggingface.co/nlp/quicktour.html) and tried to load the glue dataset:
```
>>> from nlp import load_dataset
>>> dataset = load_dataset('glue', 'mrpc', split='train')
```
However, this ran into a `ConnectionError` saying it could not reach the URL (just pasting the la... | 76 | Couldn't reach certain URLs and for the ones that can be reached, code just blocks after downloading.
Hi,
I'm following the [quick tour](https://huggingface.co/nlp/quicktour.html) and tried to load the glue dataset:
```
>>> from nlp import load_dataset
>>> dataset = load_dataset('glue', 'mrpc', split='train')
... | [
-0.11263629794120789,
-0.014818251132965088,
-0.05144684016704559,
0.24990493059158325,
0.21506494283676147,
-0.10804913938045502,
-0.00230485200881958,
0.11710949242115021,
0.14417697489261627,
-0.1348838061094284,
-0.4256683588027954,
-0.0689154788851738,
0.14472170174121857,
0.128969624... |
https://github.com/huggingface/datasets/issues/575 | Couldn't reach certain URLs and for the ones that can be reached, code just blocks after downloading. | @jeswan `"cola"` is not a valid dataset identifier (you can check the up-to-date list on https://huggingface.co/datasets) but you can find cola inside glue. | Hi,
I'm following the [quick tour](https://huggingface.co/nlp/quicktour.html) and tried to load the glue dataset:
```
>>> from nlp import load_dataset
>>> dataset = load_dataset('glue', 'mrpc', split='train')
```
However, this ran into a `ConnectionError` saying it could not reach the URL (just pasting the la... | 23 | Couldn't reach certain URLs and for the ones that can be reached, code just blocks after downloading.
Hi,
I'm following the [quick tour](https://huggingface.co/nlp/quicktour.html) and tried to load the glue dataset:
```
>>> from nlp import load_dataset
>>> dataset = load_dataset('glue', 'mrpc', split='train')
... | [
-0.11263629794120789,
-0.014818251132965088,
-0.05144684016704559,
0.24990493059158325,
0.21506494283676147,
-0.10804913938045502,
-0.00230485200881958,
0.11710949242115021,
0.14417697489261627,
-0.1348838061094284,
-0.4256683588027954,
-0.0689154788851738,
0.14472170174121857,
0.128969624... |
https://github.com/huggingface/datasets/issues/575 | Couldn't reach certain URLs and for the ones that can be reached, code just blocks after downloading. | Hi. Closing this one since #626 updated the glue urls.
> 1. Why is it still blocking? Is it still downloading?
After downloading it generates the arrow file by iterating through the examples.
The number of examples processed by second is shown during the processing (not sure why it was not the case for you)
>... | Hi,
I'm following the [quick tour](https://huggingface.co/nlp/quicktour.html) and tried to load the glue dataset:
```
>>> from nlp import load_dataset
>>> dataset = load_dataset('glue', 'mrpc', split='train')
```
However, this ran into a `ConnectionError` saying it could not reach the URL (just pasting the la... | 74 | Couldn't reach certain URLs and for the ones that can be reached, code just blocks after downloading.
Hi,
I'm following the [quick tour](https://huggingface.co/nlp/quicktour.html) and tried to load the glue dataset:
```
>>> from nlp import load_dataset
>>> dataset = load_dataset('glue', 'mrpc', split='train')
... | [
-0.11263629794120789,
-0.014818251132965088,
-0.05144684016704559,
0.24990493059158325,
0.21506494283676147,
-0.10804913938045502,
-0.00230485200881958,
0.11710949242115021,
0.14417697489261627,
-0.1348838061094284,
-0.4256683588027954,
-0.0689154788851738,
0.14472170174121857,
0.128969624... |
https://github.com/huggingface/datasets/issues/568 | `metric.compute` throws `ArrowInvalid` error | Could you try to update to `datasets>=1.0.0` (we changed the name of the library) and try again ?
If is was related to the distributed setup settings it must be fixed.
If it was related to empty metric inputs it's going to be fixed in #654 | I get the following error with `rouge.compute`. It happens only with distributed training, and it occurs randomly I can't easily reproduce it. This is using `nlp==0.4.0`
```
File "/home/beltagy/trainer.py", line 92, in validation_step
rouge_scores = rouge.compute(predictions=generated_str, references=gold_st... | 46 | `metric.compute` throws `ArrowInvalid` error
I get the following error with `rouge.compute`. It happens only with distributed training, and it occurs randomly I can't easily reproduce it. This is using `nlp==0.4.0`
```
File "/home/beltagy/trainer.py", line 92, in validation_step
rouge_scores = rouge.comput... | [
-0.4075993001461029,
-0.24178403615951538,
0.05642726644873619,
0.28629210591316223,
0.3149875998497009,
-0.1689801961183548,
-0.15918244421482086,
0.29238638281822205,
-0.15452486276626587,
0.40451276302337646,
0.05256044864654541,
0.5000801086425781,
-0.11093447357416153,
-0.364147603511... |
https://github.com/huggingface/datasets/issues/568 | `metric.compute` throws `ArrowInvalid` error | Closing this one as it was fixed in #654
Feel free to re-open if you have other questions | I get the following error with `rouge.compute`. It happens only with distributed training, and it occurs randomly I can't easily reproduce it. This is using `nlp==0.4.0`
```
File "/home/beltagy/trainer.py", line 92, in validation_step
rouge_scores = rouge.compute(predictions=generated_str, references=gold_st... | 18 | `metric.compute` throws `ArrowInvalid` error
I get the following error with `rouge.compute`. It happens only with distributed training, and it occurs randomly I can't easily reproduce it. This is using `nlp==0.4.0`
```
File "/home/beltagy/trainer.py", line 92, in validation_step
rouge_scores = rouge.comput... | [
-0.4075993001461029,
-0.24178403615951538,
0.05642726644873619,
0.28629210591316223,
0.3149875998497009,
-0.1689801961183548,
-0.15918244421482086,
0.29238638281822205,
-0.15452486276626587,
0.40451276302337646,
0.05256044864654541,
0.5000801086425781,
-0.11093447357416153,
-0.364147603511... |
https://github.com/huggingface/datasets/issues/565 | No module named 'nlp.logging' | Thanks for reporting.
Apparently this is a versioning issue: the lib downloaded the `bleurt` script from the master branch where we did this change recently. We'll fix that in a new release this week or early next week. Cc @thomwolf
Until that, I'd suggest you to download the right bleurt folder from github ([th... | Hi, I am using nlp version 0.4.0. Trying to use bleurt as an eval metric, however, the bleurt script imports nlp.logging which creates the following error. What am I missing?
```
>>> import nlp
2020-09-02 13:47:09.210310: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic l... | 88 | No module named 'nlp.logging'
Hi, I am using nlp version 0.4.0. Trying to use bleurt as an eval metric, however, the bleurt script imports nlp.logging which creates the following error. What am I missing?
```
>>> import nlp
2020-09-02 13:47:09.210310: I tensorflow/stream_executor/platform/default/dso_loader.cc:4... | [
0.01774461194872856,
-0.39616963267326355,
-0.02080867812037468,
-0.25116467475891113,
0.21709281206130981,
-0.04935979098081589,
0.20214666426181793,
0.3259570002555847,
0.09388783574104309,
-0.08659076690673828,
0.15728935599327087,
0.37691184878349304,
-0.6784251928329468,
0.13942141830... |
https://github.com/huggingface/datasets/issues/565 | No module named 'nlp.logging' | Actually we can fix this on our side, this script didn't had to be updated. I'll do it in a few minutes | Hi, I am using nlp version 0.4.0. Trying to use bleurt as an eval metric, however, the bleurt script imports nlp.logging which creates the following error. What am I missing?
```
>>> import nlp
2020-09-02 13:47:09.210310: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic l... | 22 | No module named 'nlp.logging'
Hi, I am using nlp version 0.4.0. Trying to use bleurt as an eval metric, however, the bleurt script imports nlp.logging which creates the following error. What am I missing?
```
>>> import nlp
2020-09-02 13:47:09.210310: I tensorflow/stream_executor/platform/default/dso_loader.cc:4... | [
0.01774461194872856,
-0.39616963267326355,
-0.02080867812037468,
-0.25116467475891113,
0.21709281206130981,
-0.04935979098081589,
0.20214666426181793,
0.3259570002555847,
0.09388783574104309,
-0.08659076690673828,
0.15728935599327087,
0.37691184878349304,
-0.6784251928329468,
0.13942141830... |
https://github.com/huggingface/datasets/issues/560 | Using custom DownloadConfig results in an error | From my limited understanding, part of the issue seems related to the `prepare_module` and `download_and_prepare` functions each handling the case where no config is passed. For example, `prepare_module` does mutate the object passed and forces the flags `extract_compressed_file` and `force_extract` to `True`.
See:... | ## Version / Environment
Ubuntu 18.04
Python 3.6.8
nlp 0.4.0
## Description
Loading `imdb` dataset works fine when when I don't specify any `download_config` argument. When I create a custom `DownloadConfig` object and pass it to the `nlp.load_dataset` function, this results in an error.
## How to reprodu... | 76 | Using custom DownloadConfig results in an error
## Version / Environment
Ubuntu 18.04
Python 3.6.8
nlp 0.4.0
## Description
Loading `imdb` dataset works fine when when I don't specify any `download_config` argument. When I create a custom `DownloadConfig` object and pass it to the `nlp.load_dataset` functi... | [
-0.11501912772655487,
0.16081419587135315,
0.11230349540710449,
0.02048470824956894,
-0.07628435641527176,
-0.059214506298303604,
0.28785642981529236,
0.03864441439509392,
0.38679105043411255,
-0.19926472008228302,
-0.1571432650089264,
0.36361163854599,
-0.28079015016555786,
-0.03964455425... |
https://github.com/huggingface/datasets/issues/560 | Using custom DownloadConfig results in an error | Thanks for the report, I'll take a look.
What is your specific use-case for providing a DownloadConfig object?
| ## Version / Environment
Ubuntu 18.04
Python 3.6.8
nlp 0.4.0
## Description
Loading `imdb` dataset works fine when when I don't specify any `download_config` argument. When I create a custom `DownloadConfig` object and pass it to the `nlp.load_dataset` function, this results in an error.
## How to reprodu... | 18 | Using custom DownloadConfig results in an error
## Version / Environment
Ubuntu 18.04
Python 3.6.8
nlp 0.4.0
## Description
Loading `imdb` dataset works fine when when I don't specify any `download_config` argument. When I create a custom `DownloadConfig` object and pass it to the `nlp.load_dataset` functi... | [
-0.11501912772655487,
0.16081419587135315,
0.11230349540710449,
0.02048470824956894,
-0.07628435641527176,
-0.059214506298303604,
0.28785642981529236,
0.03864441439509392,
0.38679105043411255,
-0.19926472008228302,
-0.1571432650089264,
0.36361163854599,
-0.28079015016555786,
-0.03964455425... |
https://github.com/huggingface/datasets/issues/560 | Using custom DownloadConfig results in an error | Thanks. Our use case involves running a training job behind a corporate firewall with no access to any external resources (S3, GCP or other web resources).
I was thinking about a 2-steps process:
1) Download the resources / artifacts using some secure corporate channel, ie run `nlp.load_dataset()` without a specifi... | ## Version / Environment
Ubuntu 18.04
Python 3.6.8
nlp 0.4.0
## Description
Loading `imdb` dataset works fine when when I don't specify any `download_config` argument. When I create a custom `DownloadConfig` object and pass it to the `nlp.load_dataset` function, this results in an error.
## How to reprodu... | 157 | Using custom DownloadConfig results in an error
## Version / Environment
Ubuntu 18.04
Python 3.6.8
nlp 0.4.0
## Description
Loading `imdb` dataset works fine when when I don't specify any `download_config` argument. When I create a custom `DownloadConfig` object and pass it to the `nlp.load_dataset` functi... | [
-0.11501912772655487,
0.16081419587135315,
0.11230349540710449,
0.02048470824956894,
-0.07628435641527176,
-0.059214506298303604,
0.28785642981529236,
0.03864441439509392,
0.38679105043411255,
-0.19926472008228302,
-0.1571432650089264,
0.36361163854599,
-0.28079015016555786,
-0.03964455425... |
https://github.com/huggingface/datasets/issues/560 | Using custom DownloadConfig results in an error | I see.
Probably the easiest way for you would be that we add simple serialization/deserialization methods to the Dataset and DatasetDict objects once the data files have been downloaded and all the dataset is processed.
What do you think @lhoestq ? | ## Version / Environment
Ubuntu 18.04
Python 3.6.8
nlp 0.4.0
## Description
Loading `imdb` dataset works fine when when I don't specify any `download_config` argument. When I create a custom `DownloadConfig` object and pass it to the `nlp.load_dataset` function, this results in an error.
## How to reprodu... | 41 | Using custom DownloadConfig results in an error
## Version / Environment
Ubuntu 18.04
Python 3.6.8
nlp 0.4.0
## Description
Loading `imdb` dataset works fine when when I don't specify any `download_config` argument. When I create a custom `DownloadConfig` object and pass it to the `nlp.load_dataset` functi... | [
-0.11501912772655487,
0.16081419587135315,
0.11230349540710449,
0.02048470824956894,
-0.07628435641527176,
-0.059214506298303604,
0.28785642981529236,
0.03864441439509392,
0.38679105043411255,
-0.19926472008228302,
-0.1571432650089264,
0.36361163854599,
-0.28079015016555786,
-0.03964455425... |
https://github.com/huggingface/datasets/issues/554 | nlp downloads to its module path | Indeed this is a known issue arising from the fact that we try to be compatible with cloupickle.
Does this also happen if you are installing in a virtual environment? | I am trying to package `nlp` for Nix, because it is now an optional dependency for `transformers`. The problem that I encounter is that the `nlp` library downloads to the module path, which is typically not writable in most package management systems:
```>>> import nlp
>>> squad_dataset = nlp.load_dataset('squad')
... | 30 | nlp downloads to its module path
I am trying to package `nlp` for Nix, because it is now an optional dependency for `transformers`. The problem that I encounter is that the `nlp` library downloads to the module path, which is typically not writable in most package management systems:
```>>> import nlp
>>> squad_d... | [
0.0326848067343235,
0.2539580762386322,
0.149952694773674,
0.03459610790014267,
0.21475850045681,
-0.181321382522583,
-0.020458634942770004,
-0.004551317542791367,
0.10246244072914124,
-0.05086417496204376,
0.1380293369293213,
0.8880227208137512,
-0.44225090742111206,
0.08151441812515259,
... |
https://github.com/huggingface/datasets/issues/554 | nlp downloads to its module path | > Indeed this is a know issue with the fact that we try to be compatible with cloupickle.
>
> Does this also happen if you are installing in a virtual environment?
Then it would work, because the package is in a writable path. | I am trying to package `nlp` for Nix, because it is now an optional dependency for `transformers`. The problem that I encounter is that the `nlp` library downloads to the module path, which is typically not writable in most package management systems:
```>>> import nlp
>>> squad_dataset = nlp.load_dataset('squad')
... | 44 | nlp downloads to its module path
I am trying to package `nlp` for Nix, because it is now an optional dependency for `transformers`. The problem that I encounter is that the `nlp` library downloads to the module path, which is typically not writable in most package management systems:
```>>> import nlp
>>> squad_d... | [
0.036653850227594376,
0.21923014521598816,
0.15068155527114868,
0.05084945261478424,
0.21121808886528015,
-0.182076558470726,
-0.02899305149912834,
-0.018325895071029663,
0.11898954212665558,
-0.03850172460079193,
0.12438586354255676,
0.86610347032547,
-0.458884596824646,
0.110886521637439... |
https://github.com/huggingface/datasets/issues/554 | nlp downloads to its module path | > If it's fine for you then this is the recommended way to solve this issue.
I don't want to use a virtual environment, because Nix is fully reproducible, and virtual environments are not. And I am the maintainer of the `transformers` in nixpkgs, so sooner or later I will have to package `nlp`, since it is becoming ... | I am trying to package `nlp` for Nix, because it is now an optional dependency for `transformers`. The problem that I encounter is that the `nlp` library downloads to the module path, which is typically not writable in most package management systems:
```>>> import nlp
>>> squad_dataset = nlp.load_dataset('squad')
... | 63 | nlp downloads to its module path
I am trying to package `nlp` for Nix, because it is now an optional dependency for `transformers`. The problem that I encounter is that the `nlp` library downloads to the module path, which is typically not writable in most package management systems:
```>>> import nlp
>>> squad_d... | [
0.046116460114717484,
0.23424679040908813,
0.12679196894168854,
0.029645662754774094,
0.26655465364456177,
-0.10702677071094513,
-0.04956084117293358,
0.04004020243883133,
0.018051326274871826,
-0.06754639744758606,
0.16288648545742035,
0.9074652194976807,
-0.39072754979133606,
-0.01768939... |
https://github.com/huggingface/datasets/issues/554 | nlp downloads to its module path | Ok interesting. We could have another check to see if it's possible to download and import the datasets script at another location than the module path. I think this would probably involve tweaking the python system path dynamically.
I don't know anything about Nix so if you want to give this a try your self we can ... | I am trying to package `nlp` for Nix, because it is now an optional dependency for `transformers`. The problem that I encounter is that the `nlp` library downloads to the module path, which is typically not writable in most package management systems:
```>>> import nlp
>>> squad_dataset = nlp.load_dataset('squad')
... | 141 | nlp downloads to its module path
I am trying to package `nlp` for Nix, because it is now an optional dependency for `transformers`. The problem that I encounter is that the `nlp` library downloads to the module path, which is typically not writable in most package management systems:
```>>> import nlp
>>> squad_d... | [
-0.051063258200883865,
0.32988956570625305,
0.11819878220558167,
0.04302400350570679,
0.2496248185634613,
-0.10692745447158813,
-0.024359803646802902,
0.08441498875617981,
0.04356728121638298,
-0.10431645810604095,
0.1716206967830658,
0.8944582343101501,
-0.3751603066921234,
0.049655482172... |
https://github.com/huggingface/datasets/issues/554 | nlp downloads to its module path | @danieldk modules are now installed in a different location (by default in the cache directory of the lib, in `~/.cache/huggingface/modules`). You can also change that using the environment variable `HF_MODULES_PATH`
Feel free to play with this change from the master branch for now, and let us know if it sounds good... | I am trying to package `nlp` for Nix, because it is now an optional dependency for `transformers`. The problem that I encounter is that the `nlp` library downloads to the module path, which is typically not writable in most package management systems:
```>>> import nlp
>>> squad_dataset = nlp.load_dataset('squad')
... | 65 | nlp downloads to its module path
I am trying to package `nlp` for Nix, because it is now an optional dependency for `transformers`. The problem that I encounter is that the `nlp` library downloads to the module path, which is typically not writable in most package management systems:
```>>> import nlp
>>> squad_d... | [
0.05942731723189354,
0.28540441393852234,
0.11922584474086761,
0.007442791014909744,
0.25069886445999146,
-0.1265825629234314,
-0.036680903285741806,
0.029547909274697304,
0.01797158643603325,
-0.11923842132091522,
0.1451900601387024,
0.9340404272079468,
-0.34852078557014465,
-0.0550439581... |
https://github.com/huggingface/datasets/issues/554 | nlp downloads to its module path | > Feel free to play with this change from the master branch for now, and let us know if it sounds good for you :)
> We plan to do a release in the next coming days
Thanks for making this change! I just packaged the latest commit on master and it works like a charm now! :partying_face: | I am trying to package `nlp` for Nix, because it is now an optional dependency for `transformers`. The problem that I encounter is that the `nlp` library downloads to the module path, which is typically not writable in most package management systems:
```>>> import nlp
>>> squad_dataset = nlp.load_dataset('squad')
... | 58 | nlp downloads to its module path
I am trying to package `nlp` for Nix, because it is now an optional dependency for `transformers`. The problem that I encounter is that the `nlp` library downloads to the module path, which is typically not writable in most package management systems:
```>>> import nlp
>>> squad_d... | [
0.06069953367114067,
0.28316038846969604,
0.12524719536304474,
0.002488892525434494,
0.28755003213882446,
-0.1234021931886673,
-0.04387185350060463,
0.04979424551129341,
0.014163345098495483,
-0.10771454870700836,
0.18563392758369446,
0.9319193959236145,
-0.3687044382095337,
-0.00512487813... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | When you load a text file for the first time with `nlp`, the file is converted into Apache Arrow format. Arrow allows to use memory-mapping, which means that you can load an arbitrary large dataset.
Note that as soon as the conversion has been done once, the next time you'll load the dataset it will be much faster.
... | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 88 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.2580241560935974,
-0.14295661449432373,
-0.07439611852169037,
0.2015649527311325,
-0.11924442648887634,
0.06888163834810257,
0.0702807605266571,
0.44823846220970154,
0.14730599522590637,
-0.26364773511886597,
0.14864584803581238,
0.22792305052280426,
-0.10690626502037048,
0.061183020472... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | Humm, we can give a look at these large scale datasets indeed.
Do you mind sharing a few stats on your dataset so I can try to test on a similar one?
In particular some orders of magnitudes for the number of files, number of lines per files, line lengths. | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 50 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.2486388236284256,
-0.21084387600421906,
-0.13050895929336548,
0.2715972065925598,
-0.031259194016456604,
0.053257279098033905,
0.17286020517349243,
0.3125980496406555,
0.34335410594940186,
-0.2542514204978943,
0.10401260852813721,
0.22627466917037964,
-0.14800889790058136,
0.24919278919... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | @lhoestq Yes, I understand that the first time requires more time. The concatenate_datasets seems to be a workaround, but I believe a multi-processing method should be integrated into load_dataset to make it easier and more efficient for users.
@thomwolf Sure, here are the statistics:
Number of lines: 4.2 Billion
... | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 79 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.2211722731590271,
-0.0693991631269455,
-0.07591554522514343,
0.16951748728752136,
-0.09013170003890991,
0.10082075744867325,
0.22066868841648102,
0.35938560962677,
0.22348608076572418,
-0.1874321550130844,
0.11980865150690079,
0.27414876222610474,
-0.04742203652858734,
0.258961826562881... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | @agemagician you can give a try at a multithreaded version if you want (currently on the #548).
To test it, you just need to copy the new `text` processing script which is [here](https://github.com/huggingface/nlp/blob/07d92a82b7594498ff702f3cca55c074e2052257/datasets/text/text.py) somewhere on your drive and give i... | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 76 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.23512326180934906,
-0.15899735689163208,
-0.10922592878341675,
0.15582090616226196,
-0.05220615118741989,
0.09352681785821915,
0.2101726084947586,
0.362799733877182,
0.2417387068271637,
-0.11845837533473969,
0.09371563792228699,
0.2659689486026764,
-0.1745844930410385,
0.260883182287216... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | I have already generated the dataset, but now I tried to reload it and it is still very slow.
I also have installed your commit and it is slow, even after the dataset was already generated.
`pip install git+https://github.com/huggingface/nlp.git@07d92a82b7594498ff702f3cca55c074e2052257`
It uses only a single thr... | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 50 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.1991720050573349,
-0.15270113945007324,
-0.09142360091209412,
0.18503086268901825,
-0.058026768267154694,
0.006991267204284668,
0.05425113067030907,
0.3648397624492645,
0.2267758846282959,
-0.1864665299654007,
0.16379396617412567,
0.27144530415534973,
-0.09857016801834106,
0.16586641967... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | As mentioned in #548 , each time you call `load_dataset` with `data_files=`, they are hashed to get the cache directory name. Hashing can be too slow with 1TB of data. I feel like we should have a faster way of getting a hash that identifies the input data files | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 49 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.11721689999103546,
-0.03605786710977554,
-0.09592507779598236,
0.3137763440608978,
0.016661550849676132,
0.1080760732293129,
0.18814612925052643,
0.5626507997512817,
0.35731041431427,
-0.08340758085250854,
0.08412376791238785,
0.07888894528150558,
-0.27516523003578186,
0.146363869309425... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | I believe this is really a very important feature, otherwise, we will still have the issue of too slow loading problems even if the data cache generation is fast. | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 29 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.1708841174840927,
-0.11930517107248306,
-0.10888618230819702,
0.21286875009536743,
-0.04778820276260376,
0.09820001572370529,
0.13224443793296814,
0.4315568804740906,
0.3260005712509155,
-0.1955103725194931,
0.15504027903079987,
0.21805784106254578,
-0.10448131710290909,
0.1303240507841... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | Hmm ok then maybe it's the hashing step indeed.
Let's see if we can improve this as well.
(you will very likely have to regenerate your dataset if we change this part of the lib though since I expect modifications on this part of the lib to results in new hashes) | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 51 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.1601843535900116,
-0.10733234882354736,
-0.10880376398563385,
0.23561303317546844,
0.01010839268565178,
0.08550726622343063,
0.0967390239238739,
0.4174627363681793,
0.24092262983322144,
-0.23872648179531097,
0.17884603142738342,
0.2212672382593155,
-0.15733279287815094,
0.20128642022609... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | Also, @agemagician you have to follow the step I indicate in my previous message [here](https://github.com/huggingface/nlp/issues/546#issuecomment-684648927) to use the new text loading script.
Just doing `pip install git+https://github.com/huggingface/nlp.git@07d92a82b7594498ff702f3cca55c074e2052257` like you did w... | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 46 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.1538136899471283,
-0.21949492394924164,
-0.09504809975624084,
0.153835266828537,
-0.023923486471176147,
0.045713961124420166,
0.13598917424678802,
0.41793614625930786,
0.31395307183265686,
-0.17685799300670624,
0.13525432348251343,
0.24177969992160797,
-0.13237090408802032,
0.2570710778... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | No problem, I will regenerate it. This will make us see if we solved both issues and now both the data generation step, as well as the hashing step, is fast. | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 31 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.15192094445228577,
-0.14883320033550262,
-0.1157127171754837,
0.2396361529827118,
0.03762297332286835,
0.04945759475231171,
0.13784241676330566,
0.41570261120796204,
0.22574394941329956,
-0.2202196568250656,
0.18117418885231018,
0.20846278965473175,
-0.14864493906497955,
0.2225389927625... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | Ok so now the text files won't be hashed.
I also updated #548 to include this change.
Let us know if it helps @agemagician :) | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 25 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.14686203002929688,
-0.16774776577949524,
-0.11598925292491913,
0.25076207518577576,
0.011675482615828514,
0.1286735236644745,
0.20286056399345398,
0.43605685234069824,
0.28534233570098877,
-0.21578581631183624,
0.14113663136959076,
0.18515871465206146,
-0.1777910590171814,
0.17726312577... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | Right now, for caching 18Gb data, it is taking 1 hour 10 minute. Is that proper expected time? @lhoestq @agemagician
In this rate (assuming large file will caching at the same rate) caching full mC4 (27TB) requires a month (~26 days).
| I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 41 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.20073261857032776,
-0.11946703493595123,
-0.096519336104393,
0.21042576432228088,
-0.06409281492233276,
0.0504140704870224,
0.04299195855855942,
0.3229284882545471,
0.25908181071281433,
-0.31363868713378906,
0.10742781311273575,
0.1224726140499115,
-0.14835123717784882,
0.10260533541440... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | Hi ! Currently it is that slow because we haven't implemented parallelism for the dataset generation yet.
Though we will definitely work on this :)
For now I'd recommend loading the dataset shard by shard in parallel, and then concatenate them:
```python
# in one process, load first 100 files for english
shard1 ... | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 75 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.2651071548461914,
-0.12272106111049652,
-0.09542976319789886,
0.17718762159347534,
-0.09757627546787262,
0.09287556260824203,
0.2035609483718872,
0.34884631633758545,
0.12988445162773132,
-0.1564113348722458,
0.07867802679538727,
0.1867336630821228,
-0.076585553586483,
0.216231793165206... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | Sorry to write on a closed issue but, has there been any progress on parallelizing the `load_dataset` function? | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 18 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.2692458927631378,
-0.14334583282470703,
-0.12514622509479523,
0.2536846995353699,
-0.1512012630701065,
0.14182952046394348,
0.15436290204524994,
0.41121286153793335,
0.2585255205631256,
-0.2052984982728958,
0.11031904071569443,
0.30241861939430237,
-0.06681527197360992,
0.11751482635736... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | I'm literally crying waiting for the trainer to restart from checkpoint. It's getting stuck at `get_train_dataloader` and I think this is to do with the same issue... has there been any progress on this? | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 34 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.16694149374961853,
-0.023441769182682037,
-0.08103020489215851,
0.20644745230674744,
0.13598425686359406,
-0.0006996840238571167,
0.19961455464363098,
0.4401535093784332,
0.10146792232990265,
-0.1207764595746994,
0.15834499895572662,
0.2979918420314789,
-0.2563077211380005,
0.2518082559... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | > I'm literally crying waiting for the trainer to restart from checkpoint. It's getting stuck at get_train_dataloader and I think this is to do with the same issue...
Once the dataset is cached once, it's not regenerated again. Your issue seems different | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 42 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.16828188300132751,
-0.057516105473041534,
-0.06500710546970367,
0.27625784277915955,
0.17462922632694244,
0.05216927081346512,
0.1716986447572708,
0.32608726620674133,
0.11322717368602753,
-0.18700648844242096,
0.08366416394710541,
0.24094313383102417,
-0.21144787967205048,
0.1374377757... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | hmmm, yes. I'll come back with details on this, fairly easy to reproduce. Takes about 30 minutes to get from checkpoint loading to starting training... | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 25 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.19951237738132477,
-0.17596904933452606,
-0.09805306792259216,
0.19924186170101166,
0.06102602928876877,
0.05933079868555069,
0.17571157217025757,
0.3958100378513336,
0.2441176474094391,
-0.2603219151496887,
0.1659020036458969,
0.28717300295829773,
-0.15237930417060852,
0.21000312268733... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | @lhoestq For some reason [setting num_proc](https://discuss.huggingface.co/t/how-can-i-multithreadedly-download-a-huggingface-dataset/56178/2?u=kopyl) does not work at all... My dataset has 58 parquet files and i was hoping passing `num_proc` to `load_dataset` would spawn 58 Python processes each downloading its own pa... | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 47 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.194852814078331,
-0.4439930021762848,
-0.04311417043209076,
0.26877784729003906,
-0.0036889277398586273,
-0.06667254865169525,
0.17804810404777527,
0.09640486538410187,
0.24361154437065125,
-0.03715325891971588,
0.12118221074342728,
0.2056294083595276,
-0.15354372560977936,
0.4405379891... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | It does spawn `num_proc` processes. Note that when you download in parallel you're often bounded by your bandwidth at one point, so 50 processes is unlikely to get you a x50 download speed up but a bit less | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 38 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.24794362485408783,
-0.2307918667793274,
-0.09695520997047424,
0.18914249539375305,
-0.050244174897670746,
0.037260718643665314,
0.0989948958158493,
0.28847000002861023,
0.2707466781139374,
-0.18377302587032318,
0.1413288414478302,
0.17878501117229462,
-0.06898219883441925,
0.24812059104... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | > It does spawn `num_proc` processes. Note that when you download in parallel you're often bounded by your bandwidth at one point, so 50 processes is unlikely to get you a x50 download speed up but a bit less
why then i see only 1 parquet file download progress bar at a time? | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 53 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.23498259484767914,
-0.20681515336036682,
-0.0873449444770813,
0.22459933161735535,
-0.02703702449798584,
-0.006491906940937042,
0.10596239566802979,
0.26789793372154236,
0.2230825275182724,
-0.10665656626224518,
0.2040473222732544,
0.2035951167345047,
-0.011079546995460987,
0.3539484143... |
https://github.com/huggingface/datasets/issues/546 | Very slow data loading on large dataset | Ah indeed parallel downloads are not enabled yet for some datasets.
I opened https://github.com/huggingface/datasets/pull/6551 to fix this.
| I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | 17 | Very slow data loading on large dataset
I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread durin... | [
-0.25206488370895386,
-0.2703288197517395,
-0.088521808385849,
0.32652390003204346,
-0.1110377311706543,
0.12775173783302307,
0.0944637656211853,
0.33965879678726196,
0.2732548713684082,
-0.17374397814273834,
0.03714064508676529,
0.16164624691009521,
-0.06536451727151871,
0.174853742122650... |
https://github.com/huggingface/datasets/issues/539 | [Dataset] `NonMatchingChecksumError` due to an update in the LinCE benchmark data | Hi @gaguilar
If you want to take care of this, it very simple, you just need to regenerate the `dataset_infos.json` file as indicated [in the doc](https://huggingface.co/nlp/share_dataset.html#adding-metadata) by [installing from source](https://huggingface.co/nlp/installation.html#installing-from-source) and runni... | Hi,
There is a `NonMatchingChecksumError` error for the `lid_msaea` (language identification for Modern Standard Arabic - Egyptian Arabic) dataset from the LinCE benchmark due to a minor update on that dataset.
How can I update the checksum of the library to solve this issue? The error is below and it also appea... | 68 | [Dataset] `NonMatchingChecksumError` due to an update in the LinCE benchmark data
Hi,
There is a `NonMatchingChecksumError` error for the `lid_msaea` (language identification for Modern Standard Arabic - Egyptian Arabic) dataset from the LinCE benchmark due to a minor update on that dataset.
How can I update t... | [
-0.06165233626961708,
0.4437025189399719,
-0.058161504566669464,
0.06641711294651031,
-0.30721014738082886,
0.11532742530107498,
-0.27325016260147095,
0.5395022630691528,
-0.0016358811408281326,
-0.11965842545032501,
0.0857635885477066,
0.22511547803878784,
0.07897753268480301,
-0.12229396... |
https://github.com/huggingface/datasets/issues/539 | [Dataset] `NonMatchingChecksumError` due to an update in the LinCE benchmark data | Hi @thomwolf
Thanks for the details! I just created a PR with the updated `dataset_infos.json` file (#550). | Hi,
There is a `NonMatchingChecksumError` error for the `lid_msaea` (language identification for Modern Standard Arabic - Egyptian Arabic) dataset from the LinCE benchmark due to a minor update on that dataset.
How can I update the checksum of the library to solve this issue? The error is below and it also appea... | 17 | [Dataset] `NonMatchingChecksumError` due to an update in the LinCE benchmark data
Hi,
There is a `NonMatchingChecksumError` error for the `lid_msaea` (language identification for Modern Standard Arabic - Egyptian Arabic) dataset from the LinCE benchmark due to a minor update on that dataset.
How can I update t... | [
-0.06165233626961708,
0.4437025189399719,
-0.058161504566669464,
0.06641711294651031,
-0.30721014738082886,
0.11532742530107498,
-0.27325016260147095,
0.5395022630691528,
-0.0016358811408281326,
-0.11965842545032501,
0.0857635885477066,
0.22511547803878784,
0.07897753268480301,
-0.12229396... |
https://github.com/huggingface/datasets/issues/537 | [Dataset] RACE dataset Checksums error | `NonMatchingChecksumError` means that the checksum of the downloaded file is not the expected one.
Either the file you downloaded was corrupted along the way, or the host updated the file.
Could you try to clear your cache and run `load_dataset` again ? If the error is still there, it means that there was an update i... | Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:
```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```
But then I got the following error:
```
----------------------------------... | 68 | [Dataset] RACE dataset Checksums error
Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:
```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```
But then I got the following error:
... | [
-0.34843990206718445,
0.374922513961792,
-0.022354256361722946,
0.2424076348543167,
0.23337456583976746,
0.05917946249246597,
0.24403096735477448,
0.46747714281082153,
0.25530806183815,
-0.14036862552165985,
-0.06672491878271103,
-0.09044603258371353,
-0.3057557940483093,
0.122869305312633... |
https://github.com/huggingface/datasets/issues/537 | [Dataset] RACE dataset Checksums error | I just cleared the cache an run it again. The error persists ):
```
nlp (master) $ rm -rf /Users/abarbosa/.cache/huggingface/
nlp (master) $ python
Python 3.8.5 (default, Aug 5 2020, 03:39:04)
[Clang 10.0.0 ] :: Anaconda, Inc. on darwin
Type "help", "copyright", "credits" or "license" for more information.
... | Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:
```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```
But then I got the following error:
```
----------------------------------... | 147 | [Dataset] RACE dataset Checksums error
Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:
```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```
But then I got the following error:
... | [
-0.34843990206718445,
0.374922513961792,
-0.022354256361722946,
0.2424076348543167,
0.23337456583976746,
0.05917946249246597,
0.24403096735477448,
0.46747714281082153,
0.25530806183815,
-0.14036862552165985,
-0.06672491878271103,
-0.09044603258371353,
-0.3057557940483093,
0.122869305312633... |
https://github.com/huggingface/datasets/issues/537 | [Dataset] RACE dataset Checksums error | Dealing with the same issue please update the checksum on nlp library end. The data seems to have changed on their end. | Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:
```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```
But then I got the following error:
```
----------------------------------... | 22 | [Dataset] RACE dataset Checksums error
Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:
```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```
But then I got the following error:
... | [
-0.34843990206718445,
0.374922513961792,
-0.022354256361722946,
0.2424076348543167,
0.23337456583976746,
0.05917946249246597,
0.24403096735477448,
0.46747714281082153,
0.25530806183815,
-0.14036862552165985,
-0.06672491878271103,
-0.09044603258371353,
-0.3057557940483093,
0.122869305312633... |
https://github.com/huggingface/datasets/issues/537 | [Dataset] RACE dataset Checksums error | We have a discussion on this datasets here: https://github.com/huggingface/nlp/pull/540
Feel free to participate if you have some opinion on the scope of data which should be included in this dataset. | Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:
```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```
But then I got the following error:
```
----------------------------------... | 30 | [Dataset] RACE dataset Checksums error
Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:
```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```
But then I got the following error:
... | [
-0.34843990206718445,
0.374922513961792,
-0.022354256361722946,
0.2424076348543167,
0.23337456583976746,
0.05917946249246597,
0.24403096735477448,
0.46747714281082153,
0.25530806183815,
-0.14036862552165985,
-0.06672491878271103,
-0.09044603258371353,
-0.3057557940483093,
0.122869305312633... |
https://github.com/huggingface/datasets/issues/537 | [Dataset] RACE dataset Checksums error | At least for me, the file that was downloaded from CMU isn't the complete dataset, but a small subset of it (~25MB vs ~85MB). I've previously downloaded the dataset directly, so for my personal needs I could just swap out the corrupted file with the correct one. Perhaps you could host it like you do for the Wikipedia a... | Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:
```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```
But then I got the following error:
```
----------------------------------... | 61 | [Dataset] RACE dataset Checksums error
Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:
```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```
But then I got the following error:
... | [
-0.34843990206718445,
0.374922513961792,
-0.022354256361722946,
0.2424076348543167,
0.23337456583976746,
0.05917946249246597,
0.24403096735477448,
0.46747714281082153,
0.25530806183815,
-0.14036862552165985,
-0.06672491878271103,
-0.09044603258371353,
-0.3057557940483093,
0.122869305312633... |
https://github.com/huggingface/datasets/issues/537 | [Dataset] RACE dataset Checksums error | > At least for me, the file that was downloaded from CMU isn't the complete dataset, but a small subset of it (~25MB vs ~85MB). I've previously downloaded the dataset directly, so for my personal needs I could just swap out the corrupted file with the correct one. Perhaps you could host it like you do for the Wikipedia... | Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:
```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```
But then I got the following error:
```
----------------------------------... | 67 | [Dataset] RACE dataset Checksums error
Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:
```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```
But then I got the following error:
... | [
-0.34843990206718445,
0.374922513961792,
-0.022354256361722946,
0.2424076348543167,
0.23337456583976746,
0.05917946249246597,
0.24403096735477448,
0.46747714281082153,
0.25530806183815,
-0.14036862552165985,
-0.06672491878271103,
-0.09044603258371353,
-0.3057557940483093,
0.122869305312633... |
https://github.com/huggingface/datasets/issues/537 | [Dataset] RACE dataset Checksums error | > > At least for me, the file that was downloaded from CMU isn't the complete dataset, but a small subset of it (~25MB vs ~85MB). I've previously downloaded the dataset directly, so for my personal needs I could just swap out the corrupted file with the correct one. Perhaps you could host it like you do for the Wikiped... | Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:
```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```
But then I got the following error:
```
----------------------------------... | 108 | [Dataset] RACE dataset Checksums error
Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:
```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```
But then I got the following error:
... | [
-0.34843990206718445,
0.374922513961792,
-0.022354256361722946,
0.2424076348543167,
0.23337456583976746,
0.05917946249246597,
0.24403096735477448,
0.46747714281082153,
0.25530806183815,
-0.14036862552165985,
-0.06672491878271103,
-0.09044603258371353,
-0.3057557940483093,
0.122869305312633... |
https://github.com/huggingface/datasets/issues/534 | `list_datasets()` is broken. | Thanks for reporting !
This has been fixed in #475 and the fix will be available in the next release | version = '0.4.0'
`list_datasets()` is broken. It results in the following error :
```
In [3]: nlp.list_datasets()
Out[3]: ---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
~/.virtualenvs/san-lgUCsFg_/lib/py... | 20 | `list_datasets()` is broken.
version = '0.4.0'
`list_datasets()` is broken. It results in the following error :
```
In [3]: nlp.list_datasets()
Out[3]: ---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
~/.... | [
-0.2925509214401245,
0.12877234816551208,
-0.110317662358284,
0.25301191210746765,
0.15474064648151398,
0.06974949687719345,
0.3828648328781128,
0.42214637994766235,
-0.07663954049348831,
-0.04944212734699249,
-0.17518743872642517,
0.4431259334087372,
-0.2499777227640152,
-0.03118117339909... |
https://github.com/huggingface/datasets/issues/534 | `list_datasets()` is broken. | What you can do instead to get the list of the datasets is call
```python
print([dataset.id for dataset in nlp.list_datasets()])
``` | version = '0.4.0'
`list_datasets()` is broken. It results in the following error :
```
In [3]: nlp.list_datasets()
Out[3]: ---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
~/.virtualenvs/san-lgUCsFg_/lib/py... | 21 | `list_datasets()` is broken.
version = '0.4.0'
`list_datasets()` is broken. It results in the following error :
```
In [3]: nlp.list_datasets()
Out[3]: ---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
~/.... | [
-0.2925509214401245,
0.12877234816551208,
-0.110317662358284,
0.25301191210746765,
0.15474064648151398,
0.06974949687719345,
0.3828648328781128,
0.42214637994766235,
-0.07663954049348831,
-0.04944212734699249,
-0.17518743872642517,
0.4431259334087372,
-0.2499777227640152,
-0.03118117339909... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | Could you try to run `dataset = load_dataset("text", data_files=file_path, split="train")` once before calling the script ?
It looks like several processes try to create the dataset in arrow format at the same time. If the dataset is already created it should be fine | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 43 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | Thanks! I tested on 328MB text data on `n1-standard-8 (8 vCPUs, 30 GB memory)`. The main script ran without any issue, but it seems to require a huge space in the drive.
As suggested, I ran the following script before running the pre-training command with `xla_spawn.py`.
```python
from nlp import load_dataset
... | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 336 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | Again it looks like every process tries to tokenize the full dataset at the same time.
If you do the tokenization before calling `xla_spawn.py` once, then each process will then use the tokenized cached file `cache-f90f341e5308a74698d872bcc88f9c0e.arrow` and not recompute it.
Not sure if there's a better way to do ... | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 53 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | I wrote a separate script just for preparing a cached file, including tokenization. Each process did use the tokenized cached file.
Currently I'm testing the pipeline on 24GB text data. It took about 1.5 hour to create a cached file on `n1-highmem-16 (16 vCPUs, 104 GB memory)`. I assume loading this cached file in t... | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 127 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | Sorry, I thought it was working, but actually the second call doesn't use the cached file that was generated separately, and it will generate another cache-****.arrorw file with a different name. If I run the training script again (with `xla_spawn.py`), it will use the second cached file, which was generated by the tra... | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 124 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | So if I understand correctly it means that the cached file generated by your separated script is different by the one used by the training script ? | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 27 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | Yes.
1. `cache-69633651476e943b93c89ace715f9487.arrow` was generated with a separate script.
2. I ran the entire script with `xla_spawn.py`.
3. `cache-69633651476e943b93c89ace715f9487.arrow` is not used.
4. `cache-0d77dfce704493dbe63f071eed6a5431.arrow` is created.
5. training starts...
Now, if I kill the pr... | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 85 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | 1. Here's the log from the first step.
```
Downloading and preparing dataset text/default-e84dd29acc4ad9ef (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /home/*****/.cache/huggingface/datasets/text/default-e84dd29acc4ad9ef/0.0.0/
447f2bcfa2a721a37bc8fdf23800... | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 539 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | Thanks for all the details.
The two cached files are supposed to be the same. I suspect that the caching has a problem with the tokenizer.
Which tokenizer did you use ? | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 32 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | I trained a byte-level BPE tokenizer on my data with `tokenziers` library following this [example](https://github.com/huggingface/tokenizers/blob/master/bindings/python/examples/train_bytelevel_bpe.py).
And I put these model files in a directory named `"model_name"`. I also put config.json, which is the original RoB... | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 73 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | In my separated script for caching, I'm using `use_fast=True` when initializing a tokenizer.
```python
tokenizer = AutoTokenizer.from_pretrained(args.config_name, use_fast=True)
```
I wasn't using that option in the main script. That could be the reason... | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 33 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | Yea it could definitely explain why you have two different cache files.
Let me know if using the same tokenizers on both sides fixes the issue | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 26 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | It still creates a new file even if I remove `use_fast=True`...
Here's the script used to create a cached file.
```python
#!/usr/bin/env python3
import argparse
from transformers import AutoTokenizer
from nlp import load_dataset
def main():
parser = argparse.ArgumentParser(description='descrip... | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 207 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | You need this part in the main script or it will use the dataset that is not tokenized
| Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 18 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | I can see that the tokenizer in `run_language_modeling.py` is not instantiated the same way as in your separated script.
Indeed we can see L196:
```python
tokenizer = AutoTokenizer.from_pretrained(model_args.tokenizer_name, cache_dir=model_args.cache_dir)
```
Could you try to make it so they are instantiated the e... | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 46 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | I updated my separated script, but it's creating a cached file again. If I don't use the `model_args.cache_dir`, both will get `None`, so they should be the same.
```python
#!/usr/bin/env python3
import argparse
from transformers import AutoTokenizer
from nlp import load_dataset
def main():
parser = ar... | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 143 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | Could you also check that the `args.block_size` used in the lambda function is the same as well ? | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 18 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | Here's a minimal working example to reproduce this issue.
Assumption:
- You have access to TPU.
- You have installed `transformers` and `nlp`.
- You have tokenizer files (`config.json`, `merges.txt`, `vocab.json`) under the directory named `model_name`.
- You have `xla_spawn.py` (Download from https://github.com... | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 482 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/532 | File exists error when used with TPU | I ended up specifying the `cache_file_name` argument when I call `map` function.
```python
dataset = dataset.map(lambda ex: tokenizer(ex["text"], add_special_tokens=True, truncation=True, max_length=args.block_size),
batched=True,
cache_file_name=cache_file_name)
```
... | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | 59 | File exists error when used with TPU
Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_lan... | [
-0.07983755320310593,
-0.14423353970050812,
0.1469174176454544,
0.10474777966737747,
0.23922380805015564,
-0.18302631378173828,
0.5247986912727356,
0.2587524950504303,
-0.2769021987915039,
0.14120516180992126,
0.10993202030658722,
-0.2591765224933624,
-0.03965658321976662,
-0.2304341644048... |
https://github.com/huggingface/datasets/issues/525 | wmt download speed example | Thanks for creating the issue :)
The download link for wmt-en-de raw looks like a mirror. We should use that instead of the current url.
Is this mirror official ?
Also it looks like for `ro-en` it tried to download other languages. If we manage to only download the one that is asked it'd be cool
Also cc @patric... | Continuing from the slack 1.0 roadmap thread w @lhoestq , I realized the slow downloads is only a thing sometimes. Here are a few examples, I suspect there are multiple issues. All commands were run from the same gcp us-central-1f machine.
```
import nlp
nlp.load_dataset('wmt16', 'de-en')
```
Downloads at 49.1 K... | 59 | wmt download speed example
Continuing from the slack 1.0 roadmap thread w @lhoestq , I realized the slow downloads is only a thing sometimes. Here are a few examples, I suspect there are multiple issues. All commands were run from the same gcp us-central-1f machine.
```
import nlp
nlp.load_dataset('wmt16', 'de-e... | [
-0.03669183701276779,
-0.292378306388855,
0.03856376186013222,
0.20778806507587433,
0.026342976838350296,
-0.12157804518938065,
0.1395123451948166,
0.17279009521007538,
0.12272423505783081,
-0.024006739258766174,
0.10713967680931091,
0.4486667811870575,
-0.07468356937170029,
0.075954362750... |
https://github.com/huggingface/datasets/issues/525 | wmt download speed example | Shall we host the files ourselves or it is fine to use this mirror in your opinion ? | Continuing from the slack 1.0 roadmap thread w @lhoestq , I realized the slow downloads is only a thing sometimes. Here are a few examples, I suspect there are multiple issues. All commands were run from the same gcp us-central-1f machine.
```
import nlp
nlp.load_dataset('wmt16', 'de-en')
```
Downloads at 49.1 K... | 18 | wmt download speed example
Continuing from the slack 1.0 roadmap thread w @lhoestq , I realized the slow downloads is only a thing sometimes. Here are a few examples, I suspect there are multiple issues. All commands were run from the same gcp us-central-1f machine.
```
import nlp
nlp.load_dataset('wmt16', 'de-e... | [
-0.09701881557703018,
-0.23026995360851288,
0.0760001540184021,
0.23279887437820435,
-0.19301636517047882,
-0.1516977846622467,
0.4099263846874237,
0.06606201827526093,
0.25848639011383057,
0.04765859246253967,
-0.05514178425073624,
0.2684980630874634,
-0.16810470819473267,
0.0384292528033... |
https://github.com/huggingface/datasets/issues/525 | wmt download speed example | Should we add an argument in `load_dataset` to override some URL with a custom URL (e.g. mirror) or a local path?
This could also be used to provide local files instead of the original files as requested by some users (e.g. when you made a dataset with the same format than SQuAD and what to use it instead of the off... | Continuing from the slack 1.0 roadmap thread w @lhoestq , I realized the slow downloads is only a thing sometimes. Here are a few examples, I suspect there are multiple issues. All commands were run from the same gcp us-central-1f machine.
```
import nlp
nlp.load_dataset('wmt16', 'de-en')
```
Downloads at 49.1 K... | 63 | wmt download speed example
Continuing from the slack 1.0 roadmap thread w @lhoestq , I realized the slow downloads is only a thing sometimes. Here are a few examples, I suspect there are multiple issues. All commands were run from the same gcp us-central-1f machine.
```
import nlp
nlp.load_dataset('wmt16', 'de-e... | [
-0.1401739865541458,
-0.04306540638208389,
0.0662449449300766,
0.05067261680960655,
0.060207001864910126,
-0.18122981488704681,
0.24890579283237457,
0.11193542182445526,
0.113440603017807,
-0.0137728750705719,
0.06607096642255783,
0.5972366333007812,
-0.0576728954911232,
0.0454574823379516... |
https://github.com/huggingface/datasets/issues/525 | wmt download speed example | @lhoestq I think we should host it ourselves. I'll put the subset of wmt (without preprocessed files) that we need on s3 and post a link over the weekend. | Continuing from the slack 1.0 roadmap thread w @lhoestq , I realized the slow downloads is only a thing sometimes. Here are a few examples, I suspect there are multiple issues. All commands were run from the same gcp us-central-1f machine.
```
import nlp
nlp.load_dataset('wmt16', 'de-en')
```
Downloads at 49.1 K... | 29 | wmt download speed example
Continuing from the slack 1.0 roadmap thread w @lhoestq , I realized the slow downloads is only a thing sometimes. Here are a few examples, I suspect there are multiple issues. All commands were run from the same gcp us-central-1f machine.
```
import nlp
nlp.load_dataset('wmt16', 'de-e... | [
-0.21556571125984192,
-0.12062285095453262,
-0.02049359865486622,
0.13008500635623932,
0.0658167153596878,
-0.1955837458372116,
0.20022262632846832,
0.18015648424625397,
0.14339838922023773,
0.11192453652620316,
-0.034110166132450104,
0.47512325644493103,
-0.177570641040802,
0.204459801316... |
https://github.com/huggingface/datasets/issues/525 | wmt download speed example | Is there a solution yet? The download speed is still too slow. 60-70kbps download for wmt16 and around 100kbps for wmt19. @sshleifer | Continuing from the slack 1.0 roadmap thread w @lhoestq , I realized the slow downloads is only a thing sometimes. Here are a few examples, I suspect there are multiple issues. All commands were run from the same gcp us-central-1f machine.
```
import nlp
nlp.load_dataset('wmt16', 'de-en')
```
Downloads at 49.1 K... | 22 | wmt download speed example
Continuing from the slack 1.0 roadmap thread w @lhoestq , I realized the slow downloads is only a thing sometimes. Here are a few examples, I suspect there are multiple issues. All commands were run from the same gcp us-central-1f machine.
```
import nlp
nlp.load_dataset('wmt16', 'de-e... | [
-0.1923048049211502,
-0.2106526494026184,
0.03816904500126839,
0.16114911437034607,
0.09751507639884949,
-0.15854746103286743,
0.19040384888648987,
0.15334005653858185,
0.12041528522968292,
0.000796876847743988,
0.06805337965488434,
0.45227745175361633,
-0.1424291580915451,
0.1149544641375... |
https://github.com/huggingface/datasets/issues/519 | [BUG] Metrics throwing new error on master since 0.4.0 | Update - maybe this is only failing on bleu because I was not tokenizing inputs to the metric | The following error occurs when passing in references of type `List[List[str]]` to metrics like bleu.
Wasn't happening on 0.4.0 but happening now on master.
```
File "/usr/local/lib/python3.7/site-packages/nlp/metric.py", line 226, in compute
self.add_batch(predictions=predictions, references=references)
... | 18 | [BUG] Metrics throwing new error on master since 0.4.0
The following error occurs when passing in references of type `List[List[str]]` to metrics like bleu.
Wasn't happening on 0.4.0 but happening now on master.
```
File "/usr/local/lib/python3.7/site-packages/nlp/metric.py", line 226, in compute
self.add... | [
-0.10627313703298569,
-0.007290095090866089,
0.022217612713575363,
0.2218196988105774,
0.31998395919799805,
-0.08042623102664948,
0.17598025500774384,
0.3901970386505127,
0.03430473431944847,
0.17569828033447266,
-0.08454160392284393,
0.2548733651638031,
-0.42888569831848145,
0.07199714332... |
https://github.com/huggingface/datasets/issues/519 | [BUG] Metrics throwing new error on master since 0.4.0 | Closing - seems to be just forgetting to tokenize. And found the helpful discussion in huggingface/evaluate#105 | The following error occurs when passing in references of type `List[List[str]]` to metrics like bleu.
Wasn't happening on 0.4.0 but happening now on master.
```
File "/usr/local/lib/python3.7/site-packages/nlp/metric.py", line 226, in compute
self.add_batch(predictions=predictions, references=references)
... | 16 | [BUG] Metrics throwing new error on master since 0.4.0
The following error occurs when passing in references of type `List[List[str]]` to metrics like bleu.
Wasn't happening on 0.4.0 but happening now on master.
```
File "/usr/local/lib/python3.7/site-packages/nlp/metric.py", line 226, in compute
self.add... | [
-0.07615035772323608,
-0.07551592588424683,
0.016743749380111694,
0.20332765579223633,
0.3043416142463684,
-0.1141992062330246,
0.16761359572410583,
0.3566279709339142,
0.015842244029045105,
0.1691758930683136,
-0.16579806804656982,
0.26765358448028564,
-0.34997230768203735,
0.135033994913... |
https://github.com/huggingface/datasets/issues/517 | add MLDoc dataset | This request is still an open issue waiting to be addressed by any community member, @GuillemGSubies. | Hi,
I am recommending that someone add MLDoc, a multilingual news topic classification dataset.
- Here's a link to the Github: https://github.com/facebookresearch/MLDoc
- and the paper: http://www.lrec-conf.org/proceedings/lrec2018/pdf/658.pdf
Looks like the dataset contains news stories in multiple languages... | 16 | add MLDoc dataset
Hi,
I am recommending that someone add MLDoc, a multilingual news topic classification dataset.
- Here's a link to the Github: https://github.com/facebookresearch/MLDoc
- and the paper: http://www.lrec-conf.org/proceedings/lrec2018/pdf/658.pdf
Looks like the dataset contains news stories i... | [
-0.350460410118103,
0.047695010900497437,
-0.17982691526412964,
0.1780565232038498,
-0.04010482132434845,
0.09070231765508652,
0.21025575697422028,
0.0325838066637516,
-0.20794548094272614,
-0.05216030776500702,
-0.09145747125148773,
0.28899502754211426,
-0.3860354423522949,
0.239302203059... |
https://github.com/huggingface/datasets/issues/514 | dataset.shuffle(keep_in_memory=True) is never allowed | This seems to be fixed in #513 for the filter function, replacing `cache_file_name` with `indices_cache_file_name` in the assert. Although not for the `map()` function @thomwolf | As of commit ef4aac2, the usage of the parameter `keep_in_memory=True` is never possible: `dataset.select(keep_in_memory=True)`
The commit added the lines
```python
# lines 994-996 in src/nlp/arrow_dataset.py
assert (
not keep_in_memory or cache_file_name is None
), "Please use either... | 25 | dataset.shuffle(keep_in_memory=True) is never allowed
As of commit ef4aac2, the usage of the parameter `keep_in_memory=True` is never possible: `dataset.select(keep_in_memory=True)`
The commit added the lines
```python
# lines 994-996 in src/nlp/arrow_dataset.py
assert (
not keep_in_memory o... | [
-0.15739265084266663,
0.11012826859951019,
-0.056814901530742645,
0.12800651788711548,
0.17058604955673218,
-0.06848277896642685,
-0.1548951268196106,
0.28612905740737915,
0.03388088196516037,
0.21171799302101135,
0.0658879354596138,
0.5071403384208679,
-0.3157271146774292,
-0.415928483009... |
https://github.com/huggingface/datasets/issues/514 | dataset.shuffle(keep_in_memory=True) is never allowed | Maybe I'm a bit tired but I fail to see the issue here.
Since `cache_file_name` is `None` by default, if you set `keep_in_memory` to `True`, the assert should pass, no? | As of commit ef4aac2, the usage of the parameter `keep_in_memory=True` is never possible: `dataset.select(keep_in_memory=True)`
The commit added the lines
```python
# lines 994-996 in src/nlp/arrow_dataset.py
assert (
not keep_in_memory or cache_file_name is None
), "Please use either... | 30 | dataset.shuffle(keep_in_memory=True) is never allowed
As of commit ef4aac2, the usage of the parameter `keep_in_memory=True` is never possible: `dataset.select(keep_in_memory=True)`
The commit added the lines
```python
# lines 994-996 in src/nlp/arrow_dataset.py
assert (
not keep_in_memory o... | [
-0.039235007017850876,
0.02795843780040741,
-0.04439689218997955,
0.24104894697666168,
0.11972199380397797,
-0.021508637815713882,
-0.24547095596790314,
0.2770644426345825,
-0.053434647619724274,
0.21022428572177887,
0.21283277869224548,
0.37444472312927246,
-0.2902282178401947,
-0.5664215... |
https://github.com/huggingface/datasets/issues/514 | dataset.shuffle(keep_in_memory=True) is never allowed | I failed to realise that this only applies to `shuffle()`. Whenever `keep_in_memory` is set to True, this is passed on to the `select()` function. However, if `cache_file_name` is None, it will be defined in the `shuffle()` function before it is passed on to `select()`.
Thus, `select()` is called with `keep_in_memo... | As of commit ef4aac2, the usage of the parameter `keep_in_memory=True` is never possible: `dataset.select(keep_in_memory=True)`
The commit added the lines
```python
# lines 994-996 in src/nlp/arrow_dataset.py
assert (
not keep_in_memory or cache_file_name is None
), "Please use either... | 131 | dataset.shuffle(keep_in_memory=True) is never allowed
As of commit ef4aac2, the usage of the parameter `keep_in_memory=True` is never possible: `dataset.select(keep_in_memory=True)`
The commit added the lines
```python
# lines 994-996 in src/nlp/arrow_dataset.py
assert (
not keep_in_memory o... | [
0.05825241282582283,
0.17153847217559814,
0.023640654981136322,
0.17293468117713928,
0.15414130687713623,
-0.163566455245018,
-0.30681857466697693,
0.30156970024108887,
-0.12715791165828705,
0.20359984040260315,
0.13688547909259796,
0.5172121524810791,
-0.3025808036327362,
-0.4314017295837... |
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