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Parent(s):
Initial commit
Browse filesCo-authored-by: Paulo Roberto Moura Junior <Paulo Roberto Moura Junior@users.noreply.huggingface.co>
- .gitattributes +60 -0
- README.md +2065 -0
- batchfile/train-00000-of-00001.parquet +3 -0
- bitbake/train-00000-of-00001.parquet +3 -0
- c/train-00000-of-00001.parquet +3 -0
- clojure/train-00000-of-00001.parquet +3 -0
- coffeescript/train-00000-of-00001.parquet +3 -0
- cpp/train-00000-of-00001.parquet +3 -0
- csharp/train-00000-of-00001.parquet +3 -0
- css/train-00000-of-00001.parquet +3 -0
- elixir/train-00000-of-00001.parquet +3 -0
- emacs-lisp/train-00000-of-00001.parquet +3 -0
- go/train-00000-of-00001.parquet +3 -0
- groovy/train-00000-of-00001.parquet +3 -0
- haml/train-00000-of-00001.parquet +3 -0
- handlebars/train-00000-of-00001.parquet +3 -0
- haskell/train-00000-of-00001.parquet +3 -0
- html/train-00000-of-00001.parquet +3 -0
- htmlperb/train-00000-of-00001.parquet +3 -0
- ini/train-00000-of-00001.parquet +3 -0
- jade/train-00000-of-00001.parquet +3 -0
- java/train-00000-of-00001.parquet +3 -0
- javascript/train-00000-of-00001.parquet +3 -0
- json/train-00000-of-00001.parquet +3 -0
- jsx/train-00000-of-00001.parquet +3 -0
- kotlin/train-00000-of-00001.parquet +3 -0
- less/train-00000-of-00001.parquet +3 -0
- markdown/train-00000-of-00001.parquet +3 -0
- nix/train-00000-of-00001.parquet +3 -0
- perl/train-00000-of-00001.parquet +3 -0
- php/train-00000-of-00001.parquet +3 -0
- python/train-00000-of-00001.parquet +3 -0
- restructuredtext/train-00000-of-00001.parquet +3 -0
- ruby/train-00000-of-00001.parquet +3 -0
- rust/train-00000-of-00001.parquet +3 -0
- scala/train-00000-of-00001.parquet +3 -0
- scss/train-00000-of-00001.parquet +3 -0
- shell/train-00000-of-00001.parquet +3 -0
- slim/train-00000-of-00001.parquet +3 -0
- sql/train-00000-of-00001.parquet +3 -0
- swift/train-00000-of-00001.parquet +3 -0
- text/train-00000-of-00001.parquet +3 -0
- toml/train-00000-of-00001.parquet +3 -0
- twig/train-00000-of-00001.parquet +3 -0
- typescript/train-00000-of-00001.parquet +3 -0
- unknown/train-00000-of-00001.parquet +3 -0
- viml/train-00000-of-00001.parquet +3 -0
- xml/train-00000-of-00001.parquet +3 -0
- yaml/train-00000-of-00001.parquet +3 -0
.gitattributes
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# Audio files - uncompressed
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README.md
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| 1 |
+
---
|
| 2 |
+
dataset_info:
|
| 3 |
+
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|
| 4 |
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|
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| 10 |
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| 12 |
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| 14 |
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- name: train
|
| 17 |
+
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| 18 |
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num_examples: 1232
|
| 19 |
+
download_size: 1001806
|
| 20 |
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dataset_size: 2045841
|
| 21 |
+
- config_name: bitbake
|
| 22 |
+
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|
| 23 |
+
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|
| 24 |
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|
| 25 |
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|
| 26 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
+
num_bytes: 1829963
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| 36 |
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num_examples: 924
|
| 37 |
+
download_size: 896539
|
| 38 |
+
dataset_size: 1829963
|
| 39 |
+
- config_name: c
|
| 40 |
+
features:
|
| 41 |
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| 42 |
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dtype: string
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| 43 |
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| 44 |
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|
| 55 |
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download_size: 4722635
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| 56 |
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dataset_size: 9257649
|
| 57 |
+
- config_name: clojure
|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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| 72 |
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num_examples: 2191
|
| 73 |
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download_size: 2355097
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| 74 |
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dataset_size: 5197211
|
| 75 |
+
- config_name: coffeescript
|
| 76 |
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features:
|
| 77 |
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- name: instruction
|
| 78 |
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|
| 79 |
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| 80 |
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| 92 |
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|
| 93 |
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|
| 94 |
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| 95 |
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| 96 |
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| 97 |
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|
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|
| 109 |
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| 110 |
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dataset_size: 4221179
|
| 111 |
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|
| 112 |
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|
| 113 |
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| 114 |
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|
| 115 |
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| 127 |
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| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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| 132 |
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|
| 133 |
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| 144 |
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|
| 145 |
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download_size: 3329463
|
| 146 |
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dataset_size: 7347599
|
| 147 |
+
- config_name: elixir
|
| 148 |
+
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path: batchfile/train-*
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data_files:
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path: bitbake/train-*
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data_files:
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data_files:
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path: clojure/train-*
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data_files:
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path: coffeescript/train-*
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data_files:
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path: cpp/train-*
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data_files:
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path: csharp/train-*
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data_files:
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path: css/train-*
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data_files:
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path: elixir/train-*
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data_files:
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path: emacs-lisp/train-*
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data_files:
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path: go/train-*
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+
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+
data_files:
|
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+
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path: groovy/train-*
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data_files:
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path: haml/train-*
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+
data_files:
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path: handlebars/train-*
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+
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+
data_files:
|
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+
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|
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+
path: haskell/train-*
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+
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+
data_files:
|
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+
- split: train
|
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+
path: html/train-*
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+
- config_name: htmlperb
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+
data_files:
|
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+
- split: train
|
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+
path: htmlperb/train-*
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+
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+
data_files:
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+
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+
path: ini/train-*
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+
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+
data_files:
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+
- split: train
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+
path: jade/train-*
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+
- config_name: java
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+
data_files:
|
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+
- split: train
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+
path: java/train-*
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+
- config_name: javascript
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| 931 |
+
data_files:
|
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+
- split: train
|
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+
path: javascript/train-*
|
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+
- config_name: json
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| 935 |
+
data_files:
|
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+
- split: train
|
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+
path: json/train-*
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+
- config_name: jsx
|
| 939 |
+
data_files:
|
| 940 |
+
- split: train
|
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+
path: jsx/train-*
|
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+
- config_name: kotlin
|
| 943 |
+
data_files:
|
| 944 |
+
- split: train
|
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+
path: kotlin/train-*
|
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+
- config_name: less
|
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+
data_files:
|
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+
- split: train
|
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+
path: less/train-*
|
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+
- config_name: markdown
|
| 951 |
+
data_files:
|
| 952 |
+
- split: train
|
| 953 |
+
path: markdown/train-*
|
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+
- config_name: nix
|
| 955 |
+
data_files:
|
| 956 |
+
- split: train
|
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+
path: nix/train-*
|
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+
- config_name: perl
|
| 959 |
+
data_files:
|
| 960 |
+
- split: train
|
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+
path: perl/train-*
|
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+
- config_name: php
|
| 963 |
+
data_files:
|
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+
- split: train
|
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+
path: php/train-*
|
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+
- config_name: python
|
| 967 |
+
data_files:
|
| 968 |
+
- split: train
|
| 969 |
+
path: python/train-*
|
| 970 |
+
- config_name: restructuredtext
|
| 971 |
+
data_files:
|
| 972 |
+
- split: train
|
| 973 |
+
path: restructuredtext/train-*
|
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+
- config_name: ruby
|
| 975 |
+
data_files:
|
| 976 |
+
- split: train
|
| 977 |
+
path: ruby/train-*
|
| 978 |
+
- config_name: rust
|
| 979 |
+
data_files:
|
| 980 |
+
- split: train
|
| 981 |
+
path: rust/train-*
|
| 982 |
+
- config_name: scala
|
| 983 |
+
data_files:
|
| 984 |
+
- split: train
|
| 985 |
+
path: scala/train-*
|
| 986 |
+
- config_name: scss
|
| 987 |
+
data_files:
|
| 988 |
+
- split: train
|
| 989 |
+
path: scss/train-*
|
| 990 |
+
- config_name: shell
|
| 991 |
+
data_files:
|
| 992 |
+
- split: train
|
| 993 |
+
path: shell/train-*
|
| 994 |
+
- config_name: slim
|
| 995 |
+
data_files:
|
| 996 |
+
- split: train
|
| 997 |
+
path: slim/train-*
|
| 998 |
+
- config_name: sql
|
| 999 |
+
data_files:
|
| 1000 |
+
- split: train
|
| 1001 |
+
path: sql/train-*
|
| 1002 |
+
- config_name: swift
|
| 1003 |
+
data_files:
|
| 1004 |
+
- split: train
|
| 1005 |
+
path: swift/train-*
|
| 1006 |
+
- config_name: text
|
| 1007 |
+
data_files:
|
| 1008 |
+
- split: train
|
| 1009 |
+
path: text/train-*
|
| 1010 |
+
- config_name: toml
|
| 1011 |
+
data_files:
|
| 1012 |
+
- split: train
|
| 1013 |
+
path: toml/train-*
|
| 1014 |
+
- config_name: twig
|
| 1015 |
+
data_files:
|
| 1016 |
+
- split: train
|
| 1017 |
+
path: twig/train-*
|
| 1018 |
+
- config_name: typescript
|
| 1019 |
+
data_files:
|
| 1020 |
+
- split: train
|
| 1021 |
+
path: typescript/train-*
|
| 1022 |
+
- config_name: unknown
|
| 1023 |
+
data_files:
|
| 1024 |
+
- split: train
|
| 1025 |
+
path: unknown/train-*
|
| 1026 |
+
- config_name: viml
|
| 1027 |
+
data_files:
|
| 1028 |
+
- split: train
|
| 1029 |
+
path: viml/train-*
|
| 1030 |
+
- config_name: xml
|
| 1031 |
+
data_files:
|
| 1032 |
+
- split: train
|
| 1033 |
+
path: xml/train-*
|
| 1034 |
+
- config_name: yaml
|
| 1035 |
+
data_files:
|
| 1036 |
+
- split: train
|
| 1037 |
+
path: yaml/train-*
|
| 1038 |
+
---
|
| 1039 |
+
|
| 1040 |
+
# CodeEditSearchTrain
|
| 1041 |
+
|
| 1042 |
+
A code-edit retrieval training set, derived from [`bigcode/commitpackft`](https://huggingface.co/datasets/bigcode/commitpackft)
|
| 1043 |
+
and decontaminated against the [`cassanof/CodeEditSearch`](https://huggingface.co/datasets/cassanof/CodeEditSearch) eval.
|
| 1044 |
+
|
| 1045 |
+
Each example contains an `instruction` (the commit message), a unified `diff`, and the `before`/`after` file contents, plus
|
| 1046 |
+
the source `commit` SHA.
|
| 1047 |
+
|
| 1048 |
+
## How the dataset is built
|
| 1049 |
+
|
| 1050 |
+
We start from `bigcode/commitpackft`, a large collection of code-edit commits across many programming languages, and
|
| 1051 |
+
keep every language with at least 1,000 commits — 47 languages in total. For each commit we keep the message as the
|
| 1052 |
+
natural-language instruction, render a short unified diff between the file before and after the change, and store the
|
| 1053 |
+
full file contents on both sides. Commits that don't have both a before and an after file, or that have an empty
|
| 1054 |
+
message, are discarded.
|
| 1055 |
+
|
| 1056 |
+
The harder problem is making sure none of the kept commits leak into the
|
| 1057 |
+
[`cassanof/CodeEditSearch`](https://huggingface.co/datasets/cassanof/CodeEditSearch) evaluation set. We apply three
|
| 1058 |
+
filters, each catching something the previous one would miss:
|
| 1059 |
+
|
| 1060 |
+
1. **Same commit.** If a commit's SHA already appears in the eval, we drop it, because same git commit means same code change.
|
| 1061 |
+
2. **Same text after normalization.** Two commits can describe the same change with different SHAs (cherry-picks,
|
| 1062 |
+
rebases, mirrored repos). We lowercase, normalize Unicode and collapse whitespace, then hash every text field with
|
| 1063 |
+
xxHash-64 and compare against the same hashes computed over the eval. Anything that collides is dropped.
|
| 1064 |
+
3. **Near-duplicate text.** Even after normalization, paraphrased or partially edited versions slip through. We extract
|
| 1065 |
+
every 13-word sequence from each field and compute what fraction of them also appear in the eval (containment).
|
| 1066 |
+
If any field crosses 50% overlap, the commit is dropped.
|
| 1067 |
+
|
| 1068 |
+
Steps 2 and 3 follow the decontamination methodology described in our
|
| 1069 |
+
[English models blog post](https://huggingface.co/blog/lightonai/denseon-lateon) ("Decontaminated BEIR" section) and our
|
| 1070 |
+
[multilingual models blog post](https://huggingface.co/blog/lightonai/mdenseon-mlateon).
|
| 1071 |
+
|
| 1072 |
+
The eval only covers 13 languages, but the contamination index pools everything from those 13 into one big set, and we
|
| 1073 |
+
check every commit in all 47 source languages against it, so a Python snippet that also appears verbatim in a YAML
|
| 1074 |
+
commit message would still be caught.
|
| 1075 |
+
|
| 1076 |
+
**End result:** 678,295 source commits → 599,698 with both file contents → 578,203 after dropping shared SHAs →
|
| 1077 |
+
573,593 after the exact-text filter → **560,922 kept** after the near-duplicate filter. Per-language numbers are in
|
| 1078 |
+
the report below.
|
| 1079 |
+
|
| 1080 |
+
## Generation code
|
| 1081 |
+
|
| 1082 |
+
<details>
|
| 1083 |
+
<summary>
|
| 1084 |
+
Python code to build and decontaminate the dataset
|
| 1085 |
+
</summary>
|
| 1086 |
+
|
| 1087 |
+
```python
|
| 1088 |
+
"""
|
| 1089 |
+
Build a code-edit retrieval training set from `bigcode/commitpackft`,
|
| 1090 |
+
deduped against `cassanof/CodeEditSearch` via (A) commit-SHA exclusion,
|
| 1091 |
+
(B) normalized xxHash-64, and (C) 13-gram containment.
|
| 1092 |
+
"""
|
| 1093 |
+
|
| 1094 |
+
from __future__ import annotations
|
| 1095 |
+
|
| 1096 |
+
import argparse
|
| 1097 |
+
import difflib
|
| 1098 |
+
import json
|
| 1099 |
+
import logging
|
| 1100 |
+
import os
|
| 1101 |
+
import re
|
| 1102 |
+
import sys
|
| 1103 |
+
import unicodedata
|
| 1104 |
+
import urllib.request
|
| 1105 |
+
from pathlib import Path
|
| 1106 |
+
|
| 1107 |
+
import xxhash
|
| 1108 |
+
from datasets import load_dataset, Dataset
|
| 1109 |
+
from dotenv import load_dotenv
|
| 1110 |
+
from tqdm import tqdm
|
| 1111 |
+
|
| 1112 |
+
logger = logging.getLogger(__name__)
|
| 1113 |
+
|
| 1114 |
+
|
| 1115 |
+
# 13 languages covered by the cassanof/CodeEditSearch eval:
|
| 1116 |
+
EVAL_LANGUAGES = [
|
| 1117 |
+
"c",
|
| 1118 |
+
"c++",
|
| 1119 |
+
"go",
|
| 1120 |
+
"java",
|
| 1121 |
+
"javascript",
|
| 1122 |
+
"php",
|
| 1123 |
+
"python",
|
| 1124 |
+
"ruby",
|
| 1125 |
+
"rust",
|
| 1126 |
+
"scala",
|
| 1127 |
+
"shell",
|
| 1128 |
+
"swift",
|
| 1129 |
+
"typescript",
|
| 1130 |
+
]
|
| 1131 |
+
|
| 1132 |
+
SHUFFLE_SEED = 42
|
| 1133 |
+
EVAL_DATASET = "cassanof/CodeEditSearch"
|
| 1134 |
+
SOURCE_DATASET = "bigcode/commitpackft"
|
| 1135 |
+
SIZE_API = "https://datasets-server.huggingface.co/size?dataset={dataset}"
|
| 1136 |
+
|
| 1137 |
+
REPORT_DIR = Path(__file__).resolve().parent / "output"
|
| 1138 |
+
|
| 1139 |
+
WHITESPACE_RE = re.compile(r"\s+")
|
| 1140 |
+
|
| 1141 |
+
|
| 1142 |
+
def discover_languages(dataset: str, min_rows: int) -> list[str]:
|
| 1143 |
+
"""Fetch all configs from HF datasets-server with at least `min_rows` rows."""
|
| 1144 |
+
url = SIZE_API.format(dataset=dataset)
|
| 1145 |
+
with urllib.request.urlopen(url) as resp:
|
| 1146 |
+
data = json.load(resp)
|
| 1147 |
+
configs = data["size"]["configs"]
|
| 1148 |
+
kept = [c["config"] for c in configs if c["num_rows"] >= min_rows]
|
| 1149 |
+
logger.info(
|
| 1150 |
+
"discovered %d/%d configs in %s with >= %d rows",
|
| 1151 |
+
len(kept), len(configs), dataset, min_rows,
|
| 1152 |
+
)
|
| 1153 |
+
return sorted(kept)
|
| 1154 |
+
|
| 1155 |
+
|
| 1156 |
+
def collect_eval_shas(languages: list[str]) -> set[str]:
|
| 1157 |
+
"""Pool every commit SHA appearing in the eval dataset across the given languages."""
|
| 1158 |
+
shas: set[str] = set()
|
| 1159 |
+
for lang in languages:
|
| 1160 |
+
try:
|
| 1161 |
+
ds = load_dataset(EVAL_DATASET, lang, split="train")
|
| 1162 |
+
except Exception as e:
|
| 1163 |
+
logger.warning("could not load eval for lang=%s: %s", lang, e)
|
| 1164 |
+
continue
|
| 1165 |
+
for row in ds:
|
| 1166 |
+
sha = row.get("commit")
|
| 1167 |
+
if sha:
|
| 1168 |
+
shas.add(sha)
|
| 1169 |
+
logger.info("collected %d eval commit SHAs across %d languages", len(shas), len(languages))
|
| 1170 |
+
return shas
|
| 1171 |
+
|
| 1172 |
+
|
| 1173 |
+
def has_nonempty_contents(row: dict) -> bool:
|
| 1174 |
+
"""True if both `old_contents` and `new_contents` are present and non-empty."""
|
| 1175 |
+
return bool(row.get("old_contents")) and bool(row.get("new_contents"))
|
| 1176 |
+
|
| 1177 |
+
|
| 1178 |
+
def build_unified_diff(old: str, new: str, old_file: str = "a", new_file: str = "b") -> str:
|
| 1179 |
+
"""Render a unified diff (3 lines of context) between two file contents."""
|
| 1180 |
+
return "".join(difflib.unified_diff(
|
| 1181 |
+
old.splitlines(keepends=True),
|
| 1182 |
+
new.splitlines(keepends=True),
|
| 1183 |
+
fromfile=old_file,
|
| 1184 |
+
tofile=new_file,
|
| 1185 |
+
n=3,
|
| 1186 |
+
))
|
| 1187 |
+
|
| 1188 |
+
|
| 1189 |
+
def normalize(text: str) -> str:
|
| 1190 |
+
"""NFKD-fold, lowercase, and collapse whitespace runs to single spaces."""
|
| 1191 |
+
text = unicodedata.normalize("NFKD", text).lower()
|
| 1192 |
+
return WHITESPACE_RE.sub(" ", text).strip()
|
| 1193 |
+
|
| 1194 |
+
|
| 1195 |
+
def hash64(text: str) -> int:
|
| 1196 |
+
"""64-bit xxh64 of text bytes."""
|
| 1197 |
+
return xxhash.xxh64(text.encode("utf-8", errors="replace")).intdigest()
|
| 1198 |
+
|
| 1199 |
+
|
| 1200 |
+
def word_ngrams(text: str, n: int = 13) -> set[str]:
|
| 1201 |
+
"""Set of contiguous n-word phrases from whitespace-split text."""
|
| 1202 |
+
words = text.split()
|
| 1203 |
+
if len(words) < n:
|
| 1204 |
+
return set()
|
| 1205 |
+
return {" ".join(words[i:i + n]) for i in range(len(words) - n + 1)}
|
| 1206 |
+
|
| 1207 |
+
|
| 1208 |
+
def field_hash(text: str) -> int | None:
|
| 1209 |
+
"""Normalized hash of one field; None if the field is empty after normalization."""
|
| 1210 |
+
norm = normalize(text or "")
|
| 1211 |
+
if not norm:
|
| 1212 |
+
return None
|
| 1213 |
+
return hash64(norm)
|
| 1214 |
+
|
| 1215 |
+
|
| 1216 |
+
def build_eval_overlap_index(languages: list[str], n: int = 13) -> tuple[set[int], set[str]]:
|
| 1217 |
+
"""Index per-field normalized hashes and pooled per-field n-grams across all eval rows."""
|
| 1218 |
+
field_hashes: set[int] = set()
|
| 1219 |
+
ngram_set: set[str] = set()
|
| 1220 |
+
logger.info("building per-field contamination index over eval rows...")
|
| 1221 |
+
total = 0
|
| 1222 |
+
for lang in languages:
|
| 1223 |
+
try:
|
| 1224 |
+
ds = load_dataset(EVAL_DATASET, lang, split="train")
|
| 1225 |
+
except Exception:
|
| 1226 |
+
raise RuntimeError(f"failed to load eval dataset for lang={lang}; check that EVAL_LANGUAGES is correct and that the dataset is accessible")
|
| 1227 |
+
for row in tqdm(ds, desc=f"overlap-index[{lang}]"):
|
| 1228 |
+
fields = (
|
| 1229 |
+
(row.get("instruction") or "").strip(),
|
| 1230 |
+
row.get("diff") or "",
|
| 1231 |
+
row.get("before") or "",
|
| 1232 |
+
row.get("after") or "",
|
| 1233 |
+
)
|
| 1234 |
+
if not any(fields):
|
| 1235 |
+
continue
|
| 1236 |
+
for f in fields:
|
| 1237 |
+
h = field_hash(f)
|
| 1238 |
+
if h is not None:
|
| 1239 |
+
field_hashes.add(h)
|
| 1240 |
+
ngram_set.update(word_ngrams(normalize(f), n=n))
|
| 1241 |
+
total += 1
|
| 1242 |
+
logger.info(
|
| 1243 |
+
"indexed %d eval rows: %d field-hashes, %d %d-grams",
|
| 1244 |
+
total, len(field_hashes), len(ngram_set), n,
|
| 1245 |
+
)
|
| 1246 |
+
return field_hashes, ngram_set
|
| 1247 |
+
|
| 1248 |
+
|
| 1249 |
+
def contamination_reason(
|
| 1250 |
+
instruction: str,
|
| 1251 |
+
diff: str,
|
| 1252 |
+
old_contents: str,
|
| 1253 |
+
new_contents: str,
|
| 1254 |
+
eval_field_hashes: set[int],
|
| 1255 |
+
eval_ngrams: set[str],
|
| 1256 |
+
n: int = 13,
|
| 1257 |
+
threshold: float = 0.5,
|
| 1258 |
+
) -> str:
|
| 1259 |
+
"""Return "hash"/"ngram" if any of the 4 fields matches eval, else "" (clean)."""
|
| 1260 |
+
fields = (instruction, diff, old_contents, new_contents)
|
| 1261 |
+
for f in fields:
|
| 1262 |
+
h = field_hash(f)
|
| 1263 |
+
if h is not None and h in eval_field_hashes:
|
| 1264 |
+
return "hash"
|
| 1265 |
+
for f in fields:
|
| 1266 |
+
sample_ngrams = word_ngrams(normalize(f), n=n)
|
| 1267 |
+
if not sample_ngrams:
|
| 1268 |
+
continue
|
| 1269 |
+
if len(sample_ngrams & eval_ngrams) / len(sample_ngrams) >= threshold:
|
| 1270 |
+
return "ngram"
|
| 1271 |
+
return ""
|
| 1272 |
+
|
| 1273 |
+
|
| 1274 |
+
def build_language(
|
| 1275 |
+
lang: str,
|
| 1276 |
+
eval_shas: set[str],
|
| 1277 |
+
eval_field_hashes: set[int],
|
| 1278 |
+
eval_ngrams: set[str],
|
| 1279 |
+
output_repo: str,
|
| 1280 |
+
max_per_lang: int | None,
|
| 1281 |
+
ngram_n: int = 13,
|
| 1282 |
+
overlap_threshold: float = 0.5,
|
| 1283 |
+
) -> dict:
|
| 1284 |
+
"""Filter one language of the source dataset against the eval, push to the Hub, and return its funnel."""
|
| 1285 |
+
logger.info("lang=%s loading source from %s", lang, SOURCE_DATASET)
|
| 1286 |
+
ds = load_dataset(
|
| 1287 |
+
"json",
|
| 1288 |
+
data_files=f"hf://datasets/{SOURCE_DATASET}/data/{lang}/data.jsonl",
|
| 1289 |
+
split="train",
|
| 1290 |
+
)
|
| 1291 |
+
source_rows = len(ds)
|
| 1292 |
+
|
| 1293 |
+
ds = ds.shuffle(seed=SHUFFLE_SEED)
|
| 1294 |
+
ds = ds.filter(has_nonempty_contents)
|
| 1295 |
+
passed_nonempty = len(ds)
|
| 1296 |
+
logger.info(
|
| 1297 |
+
"lang=%s %d rows have both old+new contents (from %d)",
|
| 1298 |
+
lang, passed_nonempty, source_rows,
|
| 1299 |
+
)
|
| 1300 |
+
|
| 1301 |
+
kept_rows: list[dict] = []
|
| 1302 |
+
passed_sha = passed_msg = passed_hash = passed_ngram = 0
|
| 1303 |
+
|
| 1304 |
+
for row in tqdm(ds, desc=f"filter[{lang}]"):
|
| 1305 |
+
if row.get("commit") in eval_shas:
|
| 1306 |
+
continue
|
| 1307 |
+
passed_sha += 1
|
| 1308 |
+
|
| 1309 |
+
instruction = (row.get("message") or "").strip()
|
| 1310 |
+
if not instruction:
|
| 1311 |
+
continue
|
| 1312 |
+
passed_msg += 1
|
| 1313 |
+
|
| 1314 |
+
old_contents = row.get("old_contents") or ""
|
| 1315 |
+
new_contents = row.get("new_contents") or ""
|
| 1316 |
+
diff = build_unified_diff(
|
| 1317 |
+
old_contents,
|
| 1318 |
+
new_contents,
|
| 1319 |
+
old_file=row.get("old_file", "a"),
|
| 1320 |
+
new_file=row.get("new_file", "b"),
|
| 1321 |
+
)
|
| 1322 |
+
|
| 1323 |
+
reason = contamination_reason(
|
| 1324 |
+
instruction, diff, old_contents, new_contents,
|
| 1325 |
+
eval_field_hashes, eval_ngrams,
|
| 1326 |
+
n=ngram_n, threshold=overlap_threshold,
|
| 1327 |
+
)
|
| 1328 |
+
if reason == "hash":
|
| 1329 |
+
continue
|
| 1330 |
+
passed_hash += 1
|
| 1331 |
+
if reason == "ngram":
|
| 1332 |
+
continue
|
| 1333 |
+
passed_ngram += 1
|
| 1334 |
+
|
| 1335 |
+
if max_per_lang and len(kept_rows) >= max_per_lang:
|
| 1336 |
+
continue
|
| 1337 |
+
kept_rows.append({
|
| 1338 |
+
"instruction": instruction,
|
| 1339 |
+
"diff": diff,
|
| 1340 |
+
"before": old_contents,
|
| 1341 |
+
"after": new_contents,
|
| 1342 |
+
"commit": row.get("commit"),
|
| 1343 |
+
})
|
| 1344 |
+
|
| 1345 |
+
logger.info(
|
| 1346 |
+
"lang=%s passed_nonempty=%d passed_sha=%d passed_msg=%d "
|
| 1347 |
+
"passed_hash=%d passed_ngram=%d kept=%d",
|
| 1348 |
+
lang, passed_nonempty, passed_sha, passed_msg,
|
| 1349 |
+
passed_hash, passed_ngram, len(kept_rows),
|
| 1350 |
+
)
|
| 1351 |
+
|
| 1352 |
+
config_name = lang.replace("+", "p").replace("#", "sharp")
|
| 1353 |
+
logger.info("lang=%s pushing to %s (config=%s)", lang, output_repo, config_name)
|
| 1354 |
+
Dataset.from_list(kept_rows).push_to_hub(
|
| 1355 |
+
repo_id=output_repo,
|
| 1356 |
+
config_name=config_name,
|
| 1357 |
+
private=True,
|
| 1358 |
+
)
|
| 1359 |
+
|
| 1360 |
+
return {
|
| 1361 |
+
"config": config_name,
|
| 1362 |
+
"funnel": {
|
| 1363 |
+
"source_rows": source_rows,
|
| 1364 |
+
"passed_nonempty": passed_nonempty,
|
| 1365 |
+
"passed_sha": passed_sha,
|
| 1366 |
+
"passed_nonempty_msg": passed_msg,
|
| 1367 |
+
"passed_hash": passed_hash,
|
| 1368 |
+
"passed_ngram": passed_ngram,
|
| 1369 |
+
"kept": len(kept_rows),
|
| 1370 |
+
},
|
| 1371 |
+
}
|
| 1372 |
+
|
| 1373 |
+
|
| 1374 |
+
def main(argv: list[str] | None = None) -> int:
|
| 1375 |
+
"""CLI entrypoint: build the decontaminated training set for each language and write the run report."""
|
| 1376 |
+
parser = argparse.ArgumentParser(description="Build CodeEditSearch training set.")
|
| 1377 |
+
parser.add_argument("--output-repo", default="lightonai/CodeEditSearchTrain",
|
| 1378 |
+
help="HF Hub dataset repo to push to")
|
| 1379 |
+
parser.add_argument("--languages", nargs="+", default=None,
|
| 1380 |
+
help="languages to build (default: auto-discover from source via --min-rows)")
|
| 1381 |
+
parser.add_argument("--min-rows", type=int, default=1000,
|
| 1382 |
+
help="when auto-discovering, only include configs with >= this many rows (default: 1000)")
|
| 1383 |
+
parser.add_argument("--max-per-lang", type=int, default=None,
|
| 1384 |
+
help="cap rows per language (default: no cap)")
|
| 1385 |
+
parser.add_argument("--overlap-threshold", type=float, default=0.5,
|
| 1386 |
+
help="13-gram containment threshold (default 0.5)")
|
| 1387 |
+
parser.add_argument("--ngram-n", type=int, default=13, help="n-gram size (default 13)")
|
| 1388 |
+
args = parser.parse_args(argv)
|
| 1389 |
+
|
| 1390 |
+
logging.basicConfig(
|
| 1391 |
+
level=logging.INFO,
|
| 1392 |
+
format="%(asctime)s %(levelname)s %(name)s: %(message)s",
|
| 1393 |
+
stream=sys.stderr,
|
| 1394 |
+
)
|
| 1395 |
+
|
| 1396 |
+
load_dotenv()
|
| 1397 |
+
assert os.environ.get("HF_TOKEN"), "HF_TOKEN not set after load_dotenv(); add it to .env"
|
| 1398 |
+
|
| 1399 |
+
if args.languages is None:
|
| 1400 |
+
args.languages = discover_languages(SOURCE_DATASET, args.min_rows)
|
| 1401 |
+
logger.info("building %d languages: %s", len(args.languages), args.languages)
|
| 1402 |
+
|
| 1403 |
+
# The eval (cassanof/CodeEditSearch) only has the 13 EVAL_LANGUAGES configs,
|
| 1404 |
+
# so only query those — intersected with what the user requested.
|
| 1405 |
+
eval_overlap_langs = [l for l in args.languages if l in EVAL_LANGUAGES]
|
| 1406 |
+
eval_shas = collect_eval_shas(eval_overlap_langs)
|
| 1407 |
+
eval_field_hashes, eval_ngrams = build_eval_overlap_index(
|
| 1408 |
+
eval_overlap_langs, n=args.ngram_n,
|
| 1409 |
+
)
|
| 1410 |
+
|
| 1411 |
+
report = {
|
| 1412 |
+
"source_dataset": SOURCE_DATASET,
|
| 1413 |
+
"eval_dataset": EVAL_DATASET,
|
| 1414 |
+
"shuffle_seed": SHUFFLE_SEED,
|
| 1415 |
+
"overlap_threshold": args.overlap_threshold,
|
| 1416 |
+
"ngram_n": args.ngram_n,
|
| 1417 |
+
"eval_shas_count": len(eval_shas),
|
| 1418 |
+
"eval_field_hashes_count": len(eval_field_hashes),
|
| 1419 |
+
"eval_ngrams_count": len(eval_ngrams),
|
| 1420 |
+
"languages": [],
|
| 1421 |
+
}
|
| 1422 |
+
for lang in args.languages:
|
| 1423 |
+
report["languages"].append(build_language(
|
| 1424 |
+
lang=lang,
|
| 1425 |
+
eval_shas=eval_shas,
|
| 1426 |
+
eval_field_hashes=eval_field_hashes,
|
| 1427 |
+
eval_ngrams=eval_ngrams,
|
| 1428 |
+
output_repo=args.output_repo,
|
| 1429 |
+
max_per_lang=args.max_per_lang,
|
| 1430 |
+
ngram_n=args.ngram_n,
|
| 1431 |
+
overlap_threshold=args.overlap_threshold,
|
| 1432 |
+
))
|
| 1433 |
+
|
| 1434 |
+
totals: dict[str, int] = {}
|
| 1435 |
+
for entry in report["languages"]:
|
| 1436 |
+
for k, v in entry["funnel"].items():
|
| 1437 |
+
totals[k] = totals.get(k, 0) + v
|
| 1438 |
+
report["totals"] = totals
|
| 1439 |
+
|
| 1440 |
+
REPORT_DIR.mkdir(parents=True, exist_ok=True)
|
| 1441 |
+
report_path = REPORT_DIR / "report.json"
|
| 1442 |
+
report_path.write_text(json.dumps(report, indent=2))
|
| 1443 |
+
logger.info("wrote report to %s", report_path)
|
| 1444 |
+
logger.info("totals: %s", json.dumps(totals))
|
| 1445 |
+
logger.info("pushed to https://huggingface.co/datasets/%s", args.output_repo)
|
| 1446 |
+
return 0
|
| 1447 |
+
|
| 1448 |
+
|
| 1449 |
+
if __name__ == "__main__":
|
| 1450 |
+
sys.exit(main())
|
| 1451 |
+
```
|
| 1452 |
+
</details>
|
| 1453 |
+
|
| 1454 |
+
## Filtering report
|
| 1455 |
+
|
| 1456 |
+
<details>
|
| 1457 |
+
<summary>
|
| 1458 |
+
Per-language decontamination funnel
|
| 1459 |
+
</summary>
|
| 1460 |
+
|
| 1461 |
+
```json
|
| 1462 |
+
{
|
| 1463 |
+
"source_dataset": "bigcode/commitpackft",
|
| 1464 |
+
"eval_dataset": "cassanof/CodeEditSearch",
|
| 1465 |
+
"shuffle_seed": 42,
|
| 1466 |
+
"overlap_threshold": 0.5,
|
| 1467 |
+
"ngram_n": 13,
|
| 1468 |
+
"eval_shas_count": 21495,
|
| 1469 |
+
"eval_field_hashes_count": 84365,
|
| 1470 |
+
"eval_ngrams_count": 2887107,
|
| 1471 |
+
"languages": [
|
| 1472 |
+
{
|
| 1473 |
+
"config": "batchfile",
|
| 1474 |
+
"funnel": {
|
| 1475 |
+
"source_rows": 1466,
|
| 1476 |
+
"passed_nonempty": 1234,
|
| 1477 |
+
"passed_sha": 1234,
|
| 1478 |
+
"passed_nonempty_msg": 1234,
|
| 1479 |
+
"passed_hash": 1234,
|
| 1480 |
+
"passed_ngram": 1232,
|
| 1481 |
+
"kept": 1232
|
| 1482 |
+
}
|
| 1483 |
+
},
|
| 1484 |
+
{
|
| 1485 |
+
"config": "bitbake",
|
| 1486 |
+
"funnel": {
|
| 1487 |
+
"source_rows": 1308,
|
| 1488 |
+
"passed_nonempty": 924,
|
| 1489 |
+
"passed_sha": 924,
|
| 1490 |
+
"passed_nonempty_msg": 924,
|
| 1491 |
+
"passed_hash": 924,
|
| 1492 |
+
"passed_ngram": 924,
|
| 1493 |
+
"kept": 924
|
| 1494 |
+
}
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"config": "c",
|
| 1498 |
+
"funnel": {
|
| 1499 |
+
"source_rows": 8506,
|
| 1500 |
+
"passed_nonempty": 6925,
|
| 1501 |
+
"passed_sha": 5335,
|
| 1502 |
+
"passed_nonempty_msg": 5335,
|
| 1503 |
+
"passed_hash": 5027,
|
| 1504 |
+
"passed_ngram": 4415,
|
| 1505 |
+
"kept": 4415
|
| 1506 |
+
}
|
| 1507 |
+
},
|
| 1508 |
+
{
|
| 1509 |
+
"config": "csharp",
|
| 1510 |
+
"funnel": {
|
| 1511 |
+
"source_rows": 9346,
|
| 1512 |
+
"passed_nonempty": 8472,
|
| 1513 |
+
"passed_sha": 8472,
|
| 1514 |
+
"passed_nonempty_msg": 8472,
|
| 1515 |
+
"passed_hash": 8467,
|
| 1516 |
+
"passed_ngram": 8358,
|
| 1517 |
+
"kept": 8358
|
| 1518 |
+
}
|
| 1519 |
+
},
|
| 1520 |
+
{
|
| 1521 |
+
"config": "cpp",
|
| 1522 |
+
"funnel": {
|
| 1523 |
+
"source_rows": 4992,
|
| 1524 |
+
"passed_nonempty": 3855,
|
| 1525 |
+
"passed_sha": 2165,
|
| 1526 |
+
"passed_nonempty_msg": 2165,
|
| 1527 |
+
"passed_hash": 1967,
|
| 1528 |
+
"passed_ngram": 1748,
|
| 1529 |
+
"kept": 1748
|
| 1530 |
+
}
|
| 1531 |
+
},
|
| 1532 |
+
{
|
| 1533 |
+
"config": "clojure",
|
| 1534 |
+
"funnel": {
|
| 1535 |
+
"source_rows": 2403,
|
| 1536 |
+
"passed_nonempty": 2194,
|
| 1537 |
+
"passed_sha": 2194,
|
| 1538 |
+
"passed_nonempty_msg": 2194,
|
| 1539 |
+
"passed_hash": 2191,
|
| 1540 |
+
"passed_ngram": 2191,
|
| 1541 |
+
"kept": 2191
|
| 1542 |
+
}
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"config": "coffeescript",
|
| 1546 |
+
"funnel": {
|
| 1547 |
+
"source_rows": 5513,
|
| 1548 |
+
"passed_nonempty": 5131,
|
| 1549 |
+
"passed_sha": 5131,
|
| 1550 |
+
"passed_nonempty_msg": 5131,
|
| 1551 |
+
"passed_hash": 5129,
|
| 1552 |
+
"passed_ngram": 5116,
|
| 1553 |
+
"kept": 5116
|
| 1554 |
+
}
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"config": "css",
|
| 1558 |
+
"funnel": {
|
| 1559 |
+
"source_rows": 5049,
|
| 1560 |
+
"passed_nonempty": 4762,
|
| 1561 |
+
"passed_sha": 4762,
|
| 1562 |
+
"passed_nonempty_msg": 4762,
|
| 1563 |
+
"passed_hash": 4762,
|
| 1564 |
+
"passed_ngram": 4705,
|
| 1565 |
+
"kept": 4705
|
| 1566 |
+
}
|
| 1567 |
+
},
|
| 1568 |
+
{
|
| 1569 |
+
"config": "elixir",
|
| 1570 |
+
"funnel": {
|
| 1571 |
+
"source_rows": 1150,
|
| 1572 |
+
"passed_nonempty": 1016,
|
| 1573 |
+
"passed_sha": 1016,
|
| 1574 |
+
"passed_nonempty_msg": 1016,
|
| 1575 |
+
"passed_hash": 1015,
|
| 1576 |
+
"passed_ngram": 1015,
|
| 1577 |
+
"kept": 1015
|
| 1578 |
+
}
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"config": "emacs-lisp",
|
| 1582 |
+
"funnel": {
|
| 1583 |
+
"source_rows": 1015,
|
| 1584 |
+
"passed_nonempty": 950,
|
| 1585 |
+
"passed_sha": 950,
|
| 1586 |
+
"passed_nonempty_msg": 950,
|
| 1587 |
+
"passed_hash": 950,
|
| 1588 |
+
"passed_ngram": 950,
|
| 1589 |
+
"kept": 950
|
| 1590 |
+
}
|
| 1591 |
+
},
|
| 1592 |
+
{
|
| 1593 |
+
"config": "go",
|
| 1594 |
+
"funnel": {
|
| 1595 |
+
"source_rows": 5004,
|
| 1596 |
+
"passed_nonempty": 5001,
|
| 1597 |
+
"passed_sha": 3249,
|
| 1598 |
+
"passed_nonempty_msg": 3249,
|
| 1599 |
+
"passed_hash": 3097,
|
| 1600 |
+
"passed_ngram": 2925,
|
| 1601 |
+
"kept": 2925
|
| 1602 |
+
}
|
| 1603 |
+
},
|
| 1604 |
+
{
|
| 1605 |
+
"config": "groovy",
|
| 1606 |
+
"funnel": {
|
| 1607 |
+
"source_rows": 1486,
|
| 1608 |
+
"passed_nonempty": 1026,
|
| 1609 |
+
"passed_sha": 1026,
|
| 1610 |
+
"passed_nonempty_msg": 1026,
|
| 1611 |
+
"passed_hash": 1026,
|
| 1612 |
+
"passed_ngram": 832,
|
| 1613 |
+
"kept": 832
|
| 1614 |
+
}
|
| 1615 |
+
},
|
| 1616 |
+
{
|
| 1617 |
+
"config": "haml",
|
| 1618 |
+
"funnel": {
|
| 1619 |
+
"source_rows": 4415,
|
| 1620 |
+
"passed_nonempty": 4346,
|
| 1621 |
+
"passed_sha": 4346,
|
| 1622 |
+
"passed_nonempty_msg": 4346,
|
| 1623 |
+
"passed_hash": 4346,
|
| 1624 |
+
"passed_ngram": 4344,
|
| 1625 |
+
"kept": 4344
|
| 1626 |
+
}
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"config": "handlebars",
|
| 1630 |
+
"funnel": {
|
| 1631 |
+
"source_rows": 1429,
|
| 1632 |
+
"passed_nonempty": 1389,
|
| 1633 |
+
"passed_sha": 1389,
|
| 1634 |
+
"passed_nonempty_msg": 1389,
|
| 1635 |
+
"passed_hash": 1389,
|
| 1636 |
+
"passed_ngram": 1389,
|
| 1637 |
+
"kept": 1389
|
| 1638 |
+
}
|
| 1639 |
+
},
|
| 1640 |
+
{
|
| 1641 |
+
"config": "haskell",
|
| 1642 |
+
"funnel": {
|
| 1643 |
+
"source_rows": 1389,
|
| 1644 |
+
"passed_nonempty": 1389,
|
| 1645 |
+
"passed_sha": 1389,
|
| 1646 |
+
"passed_nonempty_msg": 1389,
|
| 1647 |
+
"passed_hash": 1388,
|
| 1648 |
+
"passed_ngram": 1385,
|
| 1649 |
+
"kept": 1385
|
| 1650 |
+
}
|
| 1651 |
+
},
|
| 1652 |
+
{
|
| 1653 |
+
"config": "html",
|
| 1654 |
+
"funnel": {
|
| 1655 |
+
"source_rows": 20214,
|
| 1656 |
+
"passed_nonempty": 18303,
|
| 1657 |
+
"passed_sha": 18303,
|
| 1658 |
+
"passed_nonempty_msg": 18303,
|
| 1659 |
+
"passed_hash": 18287,
|
| 1660 |
+
"passed_ngram": 18169,
|
| 1661 |
+
"kept": 18169
|
| 1662 |
+
}
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"config": "htmlperb",
|
| 1666 |
+
"funnel": {
|
| 1667 |
+
"source_rows": 10910,
|
| 1668 |
+
"passed_nonempty": 10458,
|
| 1669 |
+
"passed_sha": 10458,
|
| 1670 |
+
"passed_nonempty_msg": 10458,
|
| 1671 |
+
"passed_hash": 10456,
|
| 1672 |
+
"passed_ngram": 10438,
|
| 1673 |
+
"kept": 10438
|
| 1674 |
+
}
|
| 1675 |
+
},
|
| 1676 |
+
{
|
| 1677 |
+
"config": "ini",
|
| 1678 |
+
"funnel": {
|
| 1679 |
+
"source_rows": 11360,
|
| 1680 |
+
"passed_nonempty": 10626,
|
| 1681 |
+
"passed_sha": 10626,
|
| 1682 |
+
"passed_nonempty_msg": 10626,
|
| 1683 |
+
"passed_hash": 10553,
|
| 1684 |
+
"passed_ngram": 10295,
|
| 1685 |
+
"kept": 10295
|
| 1686 |
+
}
|
| 1687 |
+
},
|
| 1688 |
+
{
|
| 1689 |
+
"config": "jade",
|
| 1690 |
+
"funnel": {
|
| 1691 |
+
"source_rows": 1119,
|
| 1692 |
+
"passed_nonempty": 1098,
|
| 1693 |
+
"passed_sha": 1098,
|
| 1694 |
+
"passed_nonempty_msg": 1098,
|
| 1695 |
+
"passed_hash": 1097,
|
| 1696 |
+
"passed_ngram": 1096,
|
| 1697 |
+
"kept": 1096
|
| 1698 |
+
}
|
| 1699 |
+
},
|
| 1700 |
+
{
|
| 1701 |
+
"config": "java",
|
| 1702 |
+
"funnel": {
|
| 1703 |
+
"source_rows": 20635,
|
| 1704 |
+
"passed_nonempty": 13579,
|
| 1705 |
+
"passed_sha": 11823,
|
| 1706 |
+
"passed_nonempty_msg": 11823,
|
| 1707 |
+
"passed_hash": 11571,
|
| 1708 |
+
"passed_ngram": 9831,
|
| 1709 |
+
"kept": 9831
|
| 1710 |
+
}
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"config": "javascript",
|
| 1714 |
+
"funnel": {
|
| 1715 |
+
"source_rows": 52989,
|
| 1716 |
+
"passed_nonempty": 52235,
|
| 1717 |
+
"passed_sha": 50524,
|
| 1718 |
+
"passed_nonempty_msg": 50524,
|
| 1719 |
+
"passed_hash": 50124,
|
| 1720 |
+
"passed_ngram": 49310,
|
| 1721 |
+
"kept": 49310
|
| 1722 |
+
}
|
| 1723 |
+
},
|
| 1724 |
+
{
|
| 1725 |
+
"config": "json",
|
| 1726 |
+
"funnel": {
|
| 1727 |
+
"source_rows": 39777,
|
| 1728 |
+
"passed_nonempty": 38065,
|
| 1729 |
+
"passed_sha": 38065,
|
| 1730 |
+
"passed_nonempty_msg": 38065,
|
| 1731 |
+
"passed_hash": 38025,
|
| 1732 |
+
"passed_ngram": 38023,
|
| 1733 |
+
"kept": 38023
|
| 1734 |
+
}
|
| 1735 |
+
},
|
| 1736 |
+
{
|
| 1737 |
+
"config": "jsx",
|
| 1738 |
+
"funnel": {
|
| 1739 |
+
"source_rows": 2199,
|
| 1740 |
+
"passed_nonempty": 2056,
|
| 1741 |
+
"passed_sha": 2056,
|
| 1742 |
+
"passed_nonempty_msg": 2056,
|
| 1743 |
+
"passed_hash": 2056,
|
| 1744 |
+
"passed_ngram": 2048,
|
| 1745 |
+
"kept": 2048
|
| 1746 |
+
}
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"config": "kotlin",
|
| 1750 |
+
"funnel": {
|
| 1751 |
+
"source_rows": 2214,
|
| 1752 |
+
"passed_nonempty": 1838,
|
| 1753 |
+
"passed_sha": 1838,
|
| 1754 |
+
"passed_nonempty_msg": 1838,
|
| 1755 |
+
"passed_hash": 1837,
|
| 1756 |
+
"passed_ngram": 1607,
|
| 1757 |
+
"kept": 1607
|
| 1758 |
+
}
|
| 1759 |
+
},
|
| 1760 |
+
{
|
| 1761 |
+
"config": "less",
|
| 1762 |
+
"funnel": {
|
| 1763 |
+
"source_rows": 1360,
|
| 1764 |
+
"passed_nonempty": 1340,
|
| 1765 |
+
"passed_sha": 1340,
|
| 1766 |
+
"passed_nonempty_msg": 1340,
|
| 1767 |
+
"passed_hash": 1340,
|
| 1768 |
+
"passed_ngram": 1335,
|
| 1769 |
+
"kept": 1335
|
| 1770 |
+
}
|
| 1771 |
+
},
|
| 1772 |
+
{
|
| 1773 |
+
"config": "markdown",
|
| 1774 |
+
"funnel": {
|
| 1775 |
+
"source_rows": 62518,
|
| 1776 |
+
"passed_nonempty": 52850,
|
| 1777 |
+
"passed_sha": 52850,
|
| 1778 |
+
"passed_nonempty_msg": 52850,
|
| 1779 |
+
"passed_hash": 52825,
|
| 1780 |
+
"passed_ngram": 52258,
|
| 1781 |
+
"kept": 52258
|
| 1782 |
+
}
|
| 1783 |
+
},
|
| 1784 |
+
{
|
| 1785 |
+
"config": "nix",
|
| 1786 |
+
"funnel": {
|
| 1787 |
+
"source_rows": 1593,
|
| 1788 |
+
"passed_nonempty": 1551,
|
| 1789 |
+
"passed_sha": 1551,
|
| 1790 |
+
"passed_nonempty_msg": 1551,
|
| 1791 |
+
"passed_hash": 1551,
|
| 1792 |
+
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|
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|
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|
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|
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| 2022 |
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}
|
| 2023 |
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},
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| 2024 |
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|
| 2025 |
+
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|
| 2026 |
+
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|
| 2027 |
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|
| 2028 |
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|
| 2029 |
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|
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|
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| 2032 |
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|
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|
| 2035 |
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}
|
| 2036 |
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],
|
| 2037 |
+
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|
| 2038 |
+
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|
| 2039 |
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|
| 2040 |
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|
| 2041 |
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|
| 2042 |
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|
| 2043 |
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|
| 2044 |
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|
| 2045 |
+
}
|
| 2046 |
+
}
|
| 2047 |
+
```
|
| 2048 |
+
</details>
|
| 2049 |
+
|
| 2050 |
+
## Licensing
|
| 2051 |
+
|
| 2052 |
+
This dataset is derived from `bigcode/commitpackft` and we keep all of the original licenses of the source data.
|
| 2053 |
+
|
| 2054 |
+
## Citation
|
| 2055 |
+
|
| 2056 |
+
If you use this dataset, please consider citing our work
|
| 2057 |
+
|
| 2058 |
+
```bibtex
|
| 2059 |
+
@misc{sourty2026mdenseonmlateon,
|
| 2060 |
+
title = {{mDenseOn with the mLateOn}: Open Multilingual, Long-Context, and Code Retrieval Models},
|
| 2061 |
+
author = {Sourty, Raphael and Chaffin, Antoine and Moura Junior, Paulo Roberto and Chatelain, Amelie},
|
| 2062 |
+
year = {2026},
|
| 2063 |
+
howpublished = {\url{https://huggingface.co/blog/lightonai/mDenseOn-mLateOn}}
|
| 2064 |
+
}
|
| 2065 |
+
```
|
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