|
--- |
|
dataset_info: |
|
features: |
|
- name: id |
|
dtype: int64 |
|
- name: text |
|
dtype: string |
|
- name: meta |
|
struct: |
|
- name: warc_headers |
|
struct: |
|
- name: warc-record-id |
|
dtype: string |
|
- name: warc-date |
|
dtype: string |
|
- name: content-type |
|
dtype: string |
|
- name: content-length |
|
dtype: int32 |
|
- name: warc-type |
|
dtype: string |
|
- name: warc-identified-content-language |
|
dtype: string |
|
- name: warc-refers-to |
|
dtype: string |
|
- name: warc-target-uri |
|
dtype: string |
|
- name: warc-block-digest |
|
dtype: string |
|
- name: identification |
|
struct: |
|
- name: label |
|
dtype: string |
|
- name: prob |
|
dtype: float32 |
|
- name: annotations |
|
sequence: string |
|
- name: line_identifications |
|
list: |
|
- name: label |
|
dtype: string |
|
- name: prob |
|
dtype: float32 |
|
- name: perplexity_score |
|
dtype: float64 |
|
- name: text_length |
|
dtype: int64 |
|
- name: url |
|
dtype: string |
|
- name: domain |
|
dtype: string |
|
- name: dup_ratio |
|
dtype: float64 |
|
- name: pairs |
|
sequence: |
|
sequence: int64 |
|
- name: repetitions |
|
sequence: binary |
|
- name: included_in_dedup |
|
dtype: bool |
|
- name: cluster |
|
sequence: int64 |
|
- name: has_dup_25 |
|
dtype: bool |
|
splits: |
|
- name: train |
|
num_bytes: 3188540880787 |
|
num_examples: 431992659 |
|
download_size: 1732364041898 |
|
dataset_size: 3188540880787 |
|
--- |
|
|
|
Use the 25% suffix array to deduplicate the full Oscar, i.e. remove any document which has an at least 100-char span overlapping with the 25% chunk we selected in the previous bullet. This is more permissive and leaves us with 136 million documents or 31% of the original dataset. Also for reasons the explanation of which would probably involve terms like power laws, we still remove most of the most pervasive duplicates - so I'm pretty optimistic about this being useful. |
|
|
