docs: add citation, limitations section, update condition references

#5
by madiedgar - opened
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  1. README.md +99 -79
README.md CHANGED
@@ -1,108 +1,108 @@
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  ---
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  language:
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- - zh
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  license: apache-2.0
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  task_categories:
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- - text-generation
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  tags:
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- - code
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- - multilingual
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- - legesher
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- - tiny-aya-expedition
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- - language-decoded
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- - native-code
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  pretty_name: Language Decoded — Community Code
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  size_categories:
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- - 1K<n<10K
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  configs:
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- - config_name: zh
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- data_files:
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- - split: train
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- path: data/zh/train-*.parquet
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- - split: validation
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- path: data/zh/validation-*.parquet
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  dataset_info:
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- - config_name: zh
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- features:
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- - name: filename
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- dtype: string
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- - name: content
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- dtype: string
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- - name: extension
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- dtype: string
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- - name: source
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- dtype: string
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- - name: license
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- dtype: string
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- - name: quality_tier
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- dtype: string
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- - name: sha256
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- dtype: string
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- - name: byte_size
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- dtype: int64
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- - name: total_lines
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- dtype: int64
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- - name: cjk_ratio
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- dtype: float64
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- - name: has_cjk
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- dtype: bool
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- splits:
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- - name: train
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- num_bytes: 23921213
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- num_examples: 3137
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- - name: validation
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- num_bytes: 2506431
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- num_examples: 349
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- download_size: 10076444
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- dataset_size: 26427644
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  ---
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  # Language Decoded — Community Code
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  Natively-authored multilingual code for the **Language Decoded** project (part of [Cohere's Tiny Aya Expedition](https://aya.for.ai)). This dataset contains code written by developers in non-English programming languages and code with significant CJK content — **not** mechanically transpiled from English.
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- This data serves as a component of **Condition 3** ("Mixed Native Sources") in the Language Decoded experiment, which tests whether a richer mix of native-language code improves multilingual reasoning beyond keyword swapping alone.
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  ## Available Configs
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- | Config | Language | Files | Description |
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- | ------ | -------- | ----- | ----------- |
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  | `zh` | Chinese | 3,486 | Natively Chinese-authored code from 5 sources |
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  ## Schema
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- | Column | Type | Description |
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- | -------------- | ------ | -------------------------------------------------------- |
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- | `filename` | string | Unique file identifier |
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- | `content` | string | Full file content |
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- | `extension` | string | File extension (e.g., `.py`, `.java`, `.wy`, `.qi`) |
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- | `source` | string | Origin dataset or project |
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- | `license` | string | SPDX license identifier or `UNKNOWN` |
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- | `quality_tier` | string | Quality tier: A (highest), B, C, D |
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- | `sha256` | string | SHA-256 hash of file content for deduplication |
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- | `byte_size` | int64 | File size in bytes |
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- | `total_lines` | int64 | Number of lines in the file |
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- | `cjk_ratio` | float | Ratio of CJK characters to total non-whitespace chars |
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- | `has_cjk` | bool | Whether the file contains any CJK characters |
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  ## Chinese (`zh`) Source Breakdown
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- | Source | Files | Extensions | Description |
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- | -------------------- | ----- | ------------------- | -------------------------------------------------------------- |
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- | `thestack` | 1,948 | .py, .js, .java, … | Code from The Stack with CJK in comments, strings, identifiers |
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- | `program_in_chinese` | 703 | .java, .js, .ts, … | [Program in Chinese](https://github.com/program-in-chinese) — code with Chinese identifiers |
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- | `qi` | 239 | .qi | [Qi](https://github.com/nicevoice/qi) — Chinese-syntax programming language |
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- | `mulan` | 166 | .ul | [Mulan](https://github.com/MulanRevive/mulan-rework) — Chinese programming language |
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- | `wenyan` | 81 | .wy | [Wenyan](https://github.com/wenyan-lang/wenyan) — Classical Chinese programming language (20K+ GitHub stars) |
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  ### Quality Tier Distribution
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- | Tier | Count | Description |
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- | ---- | ----- | -------------------------- |
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- | A | 778 | High quality, rich CJK |
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- | B | 1,158 | Good quality |
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- | C | 789 | Moderate quality |
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- | D | 412 | Lower quality, sparse CJK |
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  ### File Type Distribution
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@@ -133,8 +133,28 @@ high_quality = train.filter(lambda x: x["quality_tier"] in ("A", "B"))
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  ## Relationship to Other Datasets
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- - **[legesher/language-decoded-data](https://huggingface.co/datasets/legesher/language-decoded-data)**: The main experiment dataset with transpiled code (conditions 1–2) and blended datasets (condition 3). Condition 3 combines native code from this repo with transpiled code.
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- - This repo stores the **raw native code** with full metadata. The blended training datasets live in `language-decoded-data`.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## License
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1
  ---
2
  language:
3
+ - zh
4
  license: apache-2.0
5
  task_categories:
6
+ - text-generation
7
  tags:
8
+ - code
9
+ - multilingual
10
+ - legesher
11
+ - tiny-aya-expedition
12
+ - language-decoded
13
+ - native-code
14
  pretty_name: Language Decoded — Community Code
15
  size_categories:
16
+ - 1K<n<10K
17
  configs:
18
+ - config_name: zh
19
+ data_files:
20
+ - split: train
21
+ path: data/zh/train-*.parquet
22
+ - split: validation
23
+ path: data/zh/validation-*.parquet
24
  dataset_info:
25
+ - config_name: zh
26
+ features:
27
+ - name: filename
28
+ dtype: string
29
+ - name: content
30
+ dtype: string
31
+ - name: extension
32
+ dtype: string
33
+ - name: source
34
+ dtype: string
35
+ - name: license
36
+ dtype: string
37
+ - name: quality_tier
38
+ dtype: string
39
+ - name: sha256
40
+ dtype: string
41
+ - name: byte_size
42
+ dtype: int64
43
+ - name: total_lines
44
+ dtype: int64
45
+ - name: cjk_ratio
46
+ dtype: float64
47
+ - name: has_cjk
48
+ dtype: bool
49
+ splits:
50
+ - name: train
51
+ num_bytes: 23921213
52
+ num_examples: 3137
53
+ - name: validation
54
+ num_bytes: 2506431
55
+ num_examples: 349
56
+ download_size: 10076444
57
+ dataset_size: 26427644
58
  ---
59
 
60
  # Language Decoded — Community Code
61
 
62
  Natively-authored multilingual code for the **Language Decoded** project (part of [Cohere's Tiny Aya Expedition](https://aya.for.ai)). This dataset contains code written by developers in non-English programming languages and code with significant CJK content — **not** mechanically transpiled from English.
63
 
64
+ This data serves as a component of **Condition 3** ("Mixed Native Sources") and **Condition 4** ("Strictly Native Code") in the Language Decoded experiment, which tests whether native-language code improves multilingual reasoning beyond keyword swapping alone.
65
 
66
  ## Available Configs
67
 
68
+ | Config | Language | Files | Description |
69
+ | ------ | -------- | ----- | --------------------------------------------- |
70
  | `zh` | Chinese | 3,486 | Natively Chinese-authored code from 5 sources |
71
 
72
  ## Schema
73
 
74
+ | Column | Type | Description |
75
+ | -------------- | ------ | ----------------------------------------------------- |
76
+ | `filename` | string | Unique file identifier |
77
+ | `content` | string | Full file content |
78
+ | `extension` | string | File extension (e.g., `.py`, `.java`, `.wy`, `.qi`) |
79
+ | `source` | string | Origin dataset or project |
80
+ | `license` | string | SPDX license identifier or `UNKNOWN` |
81
+ | `quality_tier` | string | Quality tier: A (highest), B, C, D |
82
+ | `sha256` | string | SHA-256 hash of file content for deduplication |
83
+ | `byte_size` | int64 | File size in bytes |
84
+ | `total_lines` | int64 | Number of lines in the file |
85
+ | `cjk_ratio` | float | Ratio of CJK characters to total non-whitespace chars |
86
+ | `has_cjk` | bool | Whether the file contains any CJK characters |
87
 
88
  ## Chinese (`zh`) Source Breakdown
89
 
90
+ | Source | Files | Extensions | Description |
91
+ | -------------------- | ----- | ------------------ | ------------------------------------------------------------------------------------------------------------ |
92
+ | `thestack` | 1,948 | .py, .js, .java, … | Code from The Stack with CJK in comments, strings, identifiers |
93
+ | `program_in_chinese` | 703 | .java, .js, .ts, … | [Program in Chinese](https://github.com/program-in-chinese) — code with Chinese identifiers |
94
+ | `qi` | 239 | .qi | [Qi](https://github.com/nicevoice/qi) — Chinese-syntax programming language |
95
+ | `mulan` | 166 | .ul | [Mulan](https://github.com/MulanRevive/mulan-rework) — Chinese programming language |
96
+ | `wenyan` | 81 | .wy | [Wenyan](https://github.com/wenyan-lang/wenyan) — Classical Chinese programming language (20K+ GitHub stars) |
97
 
98
  ### Quality Tier Distribution
99
 
100
+ | Tier | Count | Description |
101
+ | ---- | ----- | ------------------------- |
102
+ | A | 778 | High quality, rich CJK |
103
+ | B | 1,158 | Good quality |
104
+ | C | 789 | Moderate quality |
105
+ | D | 412 | Lower quality, sparse CJK |
106
 
107
  ### File Type Distribution
108
 
 
133
 
134
  ## Relationship to Other Datasets
135
 
136
+ - **[legesher/language-decoded-data](https://huggingface.co/datasets/legesher/language-decoded-data)**: The main experiment dataset with transpiled code (conditions 1–2), blended datasets (condition 3), and strictly native code (condition 4). Conditions 3 and 4 use native code from this repo.
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+ - This repo stores the **raw native code** with full metadata. The blended and native training datasets live in `language-decoded-data`.
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+
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+ ## Limitations
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+
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+ - **Chinese only**: Currently limited to Chinese-language code. Native code for Spanish and Urdu is not yet available.
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+ - **License uncertainty**: Some files (particularly from `thestack`) have `UNKNOWN` licenses. These were included because they appeared in The Stack's permissive-license subset, but individual file licenses could not always be verified.
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+ - **Quality variation**: Quality tiers are assigned heuristically based on CJK content ratio, file size, and structural indicators. Tier D files may contain minimal native-language content.
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+ - **Non-Python files included**: Unlike the transpiled datasets (conditions 1–2), this dataset includes code in multiple programming languages (Python, Java, JavaScript, Wenyan, Qi, Mulan, etc.), reflecting the reality of native-language programming ecosystems.
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+ - **CJK-heavy bias**: Files were selected partly based on CJK character presence, which may over-represent code with Chinese comments/strings rather than code with Chinese-language syntax.
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{language-decoded-2026,
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+ title={Language Decoded: Investigating Language-Dependent vs. Structure-Dependent Reasoning Benefits of Code},
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+ author={Madison Edgar and Saad Ahmed Bazaz and Tom Sherborne and Rashik Shahjahan and Khojasteh Mirza and Sarah Jawaid and Rafay Mustafa and Sohaib Ahmed Bazaz},
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+ year={2026},
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+ publisher={Hugging Face},
155
+ url={https://huggingface.co/datasets/legesher/language-decoded-community}
156
+ }
157
+ ```
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159
  ## License
160