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?