Zeb
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d12fe3d
Remove test sets and use constant size for validation
Browse files- Eng-NA/test.csv +0 -3
- Eng-NA/train.csv +2 -2
- Eng-NA/valid.csv +2 -2
- French/test.csv +0 -3
- French/train.csv +2 -2
- French/valid.csv +2 -2
- German/test.csv +0 -3
- German/train.csv +2 -2
- German/valid.csv +2 -2
- README.md +2 -10
- Spanish/test.csv +0 -3
- Spanish/train.csv +2 -2
- Spanish/valid.csv +2 -2
Eng-NA/test.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:800d532b75d7257f6459e3003f98473661c42cd60b8d7a55cf913199ba0dcdae
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size 29894682
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Eng-NA/train.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:f2bed26902e576647449a76e5f93491a42a578065d91fb8dd789d371ecaca21a
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size 594558958
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Eng-NA/valid.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:9a165f471049798c61361762d1cd5d7619901a80b118baa0fce70c148d00778a
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size 3616599
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French/test.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:3501fdab0c1e2c1e22e24339534f704f7e7f73593646f55ec56c86423ec79081
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size 8351213
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French/train.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:8a74b0fa0292bec0a56820c15bf58ce02b24f97352c053072caf1683cd830e84
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size 164450293
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French/valid.csv
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:055d91aaae0966956c30209e37c463acb7e5146461cac6d127bc52c324b8ceb7
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size 3884999
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German/test.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:abeaa36a442b9d6d0423e69f84ff03b9993ff699cb8dcb2f56f56b6da52f6491
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size 16157543
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German/train.csv
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:3358c865ac146c197b73f22a0da47b42327f310f8fb42065cd33c65d477595d9
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size 318994470
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German/valid.csv
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:521e991288d4736e6b064cf0d2f4636041bfa82340797776c19b1aeb243a6f62
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size 3824091
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README.md
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@@ -7,32 +7,24 @@ configs:
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path: Eng-NA/train.csv
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- split: valid
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path: Eng-NA/valid.csv
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- split: test
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path: Eng-NA/test.csv
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- config_name: "French"
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data_files:
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- split: train
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path: French/train.csv
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- split: valid
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path: French/valid.csv
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- split: test
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path: French/test.csv
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- config_name: "German"
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data_files:
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- split: train
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path: German/train.csv
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- split: valid
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path: German/valid.csv
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- split: test
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path: German/test.csv
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- config_name: "Spanish"
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data_files:
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- split: train
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path: Spanish/train.csv
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- split: valid
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path: Spanish/valid.csv
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- split: test
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path: Spanish/test.csv
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language:
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- en
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- de
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@@ -62,11 +54,11 @@ The last two columns are designed for training character-based (phoneme-based) l
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Note that the data has been sorted by the `target_child_age` column, which stores child age in months. This can be used to limit the training data according to a maximum child age, if you wish.
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Each subset of the data is split into a training
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| Language | Description | Speakers | Utterances | Words | Phonemes
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|:----|:-----|:-----|:----|:-----|:-----|
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| English | Taken from 44 corpora in Eng-NA collection of CHILDES and phonemized using language code `en-us`. | 2,692 | 1,646,954 | 7,090,066 | 21,932,139
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| French | Taken from 11 corpora in French collection of CHILDES and phonemized using language code `fr-fr`. | 722 | 432,133 | 1,995,063 | 5,510,523
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| German | Taken from 10 corpora in German collection of CHILDES and phonemized using language code `ge`. | 627 | 850,888 | 3,893,168 | 14,032,948
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| Spanish | Taken from 18 corpora in Spanish collection of CHILDES and phonemized using language code `es`. | 562 | 286,462 | 1,266,366 | 4,511,261
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path: Eng-NA/train.csv
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- split: valid
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path: Eng-NA/valid.csv
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- config_name: "French"
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data_files:
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- split: train
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path: French/train.csv
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- split: valid
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path: French/valid.csv
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- config_name: "German"
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data_files:
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- split: train
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path: German/train.csv
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- split: valid
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path: German/valid.csv
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- config_name: "Spanish"
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data_files:
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- split: train
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path: Spanish/train.csv
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- split: valid
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path: Spanish/valid.csv
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language:
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- en
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- de
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Note that the data has been sorted by the `target_child_age` column, which stores child age in months. This can be used to limit the training data according to a maximum child age, if you wish.
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+
Each subset of the data is split into a training split containing most of the utterances and an in-distribution validation split containing 10,000 utterances. The following languages are included (ordered by number of phonemes):
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| Language | Description | Speakers | Utterances | Words | Phonemes
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|:----|:-----|:-----|:----|:-----|:-----|
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| English | Taken from 44 corpora in Eng-NA collection of CHILDES and phonemized using language code `en-us`. | 2,692 | 1,646,954 | 7,090,066 | 21,932,139
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| German | Taken from 10 corpora in German collection of CHILDES and phonemized using language code `ge`. | 627 | 850,888 | 3,893,168 | 14,032,948
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| French | Taken from 11 corpora in French collection of CHILDES and phonemized using language code `fr-fr`. | 722 | 432,133 | 1,995,063 | 5,510,523
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| Spanish | Taken from 18 corpora in Spanish collection of CHILDES and phonemized using language code `es`. | 562 | 286,462 | 1,266,366 | 4,511,261
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Spanish/test.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd7631e788c54667dab4942066c66b793c3a529df8493ebfcc43709e57063cf7
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size 4964512
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Spanish/train.csv
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size 97303610
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Spanish/valid.csv
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size 3499188
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