Datasets:
Duplicates in Dolma 1.7
#32
by
vedaad
- opened
Hi,
There are many exact duplicates in the Dolma dataset, both by text and ID. Given your extensive de-duplication pipeline, is this a bug in the dataset?
For an example, see the following
import pandas as pd
# Downloaded from Huggingface and extracted using `gzip -d books-0000.json.gz`
books0 = pd.read_json("books-0000.json", lines=True)
len(books0)
>>> 24358
len(books0.text.drop_duplicates(keep=False))
>>> 24246
books0.id.value_counts()
>>> id
>>> 4b4f937a0dc9156268adddeb1cff76885b56061f 31
>>> 2013973b56b26eeb371da72efedf22f6921235ce 24
>>> c8e625877f4a5ab7378c2713c9c720dc4eb2c8d7 21
>>> 8ea47781d1f36e5773e5f8b78576723052ca8dcc 11
>>> e927dbe32bf2ccfa7a141fcf4c3ce145d7f73918 8
>>> ..
>>> 60c6a3c24856cf0bb46efcab3c1c9e42938a7acb 1
>>> 4dc420f0a1c88daa9fc00e128df9f32dcdc46531 1
>>> 48fd9dd3ef711f1ec64de9fdb15cc7356750592e 1
>>> 0e1ab4bd013506ce8d5d209cf2c749ca3d9d714a 1
>>> d19bb0e85b7c5dc7a6764ac8ec4ab71f38dd4a16 1
>>> Name: count, Length: 24256, dtype: int64
There are also duplicate IDs in other splits, like StarCoder, but the duplicate IDs correlate to different text. Can you please provide some clarification around why the duplicates were kept in?