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starcoder-portrait

data-portraits
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starcoder
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  1. README.md +29 -0
  2. partitions.json +989 -0
README.md ADDED
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+ ---
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+ tags: [data-portraits, bloom-filter, starcoder, code]
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+ ---
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+ # Data Portrait: StarCoder training data
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+
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+ A [Data Portrait](https://github.com/ruyimarone/data-portraits) of [bigcode/starcoderdata](https://huggingface.co/datasets/bigcode/starcoderdata) (The Stack v1.2 in 86 languages,
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+ GitHub issues, Jupyter notebooks and git commits), the training data of [bigcode/starcoderbase](https://huggingface.co/bigcode/starcoderbase) (and its 1B/3B/7B versions) and
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+ [bigcode/starcoder](https://huggingface.co/bigcode/starcoder). StarCoder is StarCoderBase
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+ further trained on the Python subset, so this portrait covers both. StarCoder's special tokens (`<reponame>`,
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+ `<gh_stars>`, `<issue_comment>`, `<jupyter_code>`, ...) inside the stored text are replaced by newlines.
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+
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+ Text is normalised as in data-portraits and split into 50-character n-grams with stride
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+ 50, stored in 1 Bloom filter(s) sized to fit in RAM. A query ORs membership
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+ across filters: combined false-positive rate <= 0.01 (each filter 0.010000).
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+
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+ Each partition is a separate revision of this repo (tag `p<i>of<k>`, branch `partition-<n>`):
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+
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+ | tag | files | sources | size |
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+ |---|---|---|---|
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+ | [`p0of1`](https://huggingface.co/aalkaswan/starcoder-portrait/tree/p0of1) | 863 | ada, agda, alloy, antlr, applescript, assembly, augeas, awk, batchfile, bluespec, c, c-sharp, clojure, cmake, coffeescript, common-lisp, cpp, css, cuda, dart, dockerfile, elixir, elm, emacs-lisp, erlang, f-sharp, fortran, git-commits-cleaned, github-issues-filtered-structured, glsl, go, groovy, haskell, html, idris, isabelle, java, java-server-pages, javascript, json, julia, jupyter-scripts-dedup-filtered, jupyter-structured-clean-dedup, kotlin, lean, literate-agda, literate-coffeescript, literate-haskell, lua, makefile, maple, markdown, mathematica, matlab, ocaml, pascal, perl, php, powershell, prolog, protocol-buffer, python, r, racket, restructuredtext, rmarkdown, ruby, rust, sas, scala, scheme, shell, smalltalk, solidity, sparql, sql, stan, standard-ml, stata, systemverilog, tcl, tcsh, tex, thrift, typescript, verilog, vhdl, visual-basic, xslt, yacc, yaml, zig | 17 GiB |
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+
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+ `partitions.json` lists the exact files (pinned dataset revision) in each partition. Query with
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+ `starcoder_portrait.query`:
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+
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+ ```python
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+ from starcoder_portrait.query import SequentialPortrait
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+ portrait = SequentialPortrait("aalkaswan/starcoder-portrait", ["p0of1"])
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+ report = portrait.contains_from_text([text], sort_chains_by_length=True)[0]
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+ ```
partitions.json ADDED
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+ {
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+ "revisions": {
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+ "bigcode/starcoderdata": "9fc30b578cedaec69e47302df72cf00feed7c8c4"
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+ },
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+ "width": 50,
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+ "stride": 50,
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+ "num_partitions": 1,
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+ "stage_partitions": {
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+ "main": 1
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+ },
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+ "combined_error": 0.01,
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+ "per_filter_error": 0.010000000000000009,
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+ "est_unique_ngrams": {
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+ "main": 12871792175
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+ },
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+ "skipped_sources": [],
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+ "partitions": [
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+ {
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+ "index": 0,
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+ "stage": "main",
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+ "stage_index": 0,
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+ "tag": "p0of1",
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+ "key": "starcoder-p0of1.50-50.bf",
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+ "error_rate": 0.010000000000000009,
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+ "capacity": 15446150611,
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+ "est_ngrams": 12871792175,
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+ "est_gib": 17.235550949355208,
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+ "families": {
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+ "idris": 1,
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+ "java": 87,
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+ "java-server-pages": 1,
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+ "javascript": 65,
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+ "json": 6,
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+ "julia": 2,
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+ "jupyter-scripts-dedup-filtered": 8,
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+ "jupyter-structured-clean-dedup": 6,
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+ "kotlin": 6,
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+ "lean": 1,
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+ "literate-agda": 1,
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+ "literate-coffeescript": 1,
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+ },
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+ "shards": [
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