Update README.md

README.md

@@ -65,10 +65,43 @@ dataset_info:
     num_examples: 11658586
   download_size: 28807934580
   dataset_size: 78577965159
+license: other
+language:
+- code
 ---
 # Dataset Card for "stack-smol-xxl"
 
+This is a subset of the [deduplicated Stack dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup)
+
+It was generated like so:   
+```python
+from datasets import load_dataset, Dataset
+languages = ["css", "prolog", "c", "fortran", "solidity", "kotlin", "literate-agda", "julia", "java-server-pages",
+             "isabelle", "idris", "lean", "powershell", "go", "erlang", "f-sharp", "ada", "pascal", "perl", "r", "protocol-buffer",
+             "cmake", "sas", "ruby", "rust", "rmarkdown", "c-sharp", "smalltalk", "haskell", "maple", "mathematica", "ocaml",
+             "makefile", "lua", "literate-coffeescript", "literate-haskell", "restructuredtext", "racket", "standard-ml",
+             "systemverilog", "tex", "awk", "assembly", "alloy", "agda", "emacs-lisp", "dart", "cuda", "bluespec", "augeas", "batchfile",
+             "tcsh", "stan", "scala", "tcl", "stata", "applescript", "shell", "clojure", "scheme", "antlr", "sparql", "sql",
+             "glsl", "elm", "dockerfile", "cpp", "coffeescript", "common-lisp", "elixir", "groovy", "html", "java", "javascript",
+             "markdown", "php", "python", "typescript", "verilog", "visual-basic", "vhdl", "thrift", "matlab", "yacc", "zig", "xslt", "json", "yaml"]
+
+def dset_gen():
+    for language in languages:
+        dset = load_dataset("bigcode/the-stack-dedup", data_dir=f"data/{language}", streaming=True, split="train")
+        sample = dset.take(250_000)
+        for row in sample:
+            yield row
+
+dset = Dataset.from_generator(dset_gen)
+```
 ## Dataset Structure
+
+```
+num_examples: 11658586
+download_size: 28807934580
+dataset_size: 78577965159
+```
+
 ### Data Instances
 Each data instance corresponds to one file. The content of the file is in the `content` feature, and other features (`repository_name`, `licenses`, etc.) provide some metadata. Note that a given file can appear in several different repositories that satisfy our safe-license criterion. If that is the case, only the first – in alphabetical order -- of these repositories is shown for simplicity.
 
@@ -89,27 +122,3 @@ Each data instance corresponds to one file. The content of the file is in the `c
 - `max_{stars|forks|issues}_repo_{stars|forks|issues}_min_datetime` (string): first timestamp of a `{stars|forks|issues}` event
 - `max_{stars|forks|issues}_repo_{stars|forks|issues}_max_datetime` (string): last timestamp of a `{stars|forks|issues}` event
 
-num_examples: 11658586
-download_size: 28807934580
-dataset_size: 78577965159
-  
-```python
-from datasets import load_dataset, Dataset
-languages = ["css", "prolog", "c", "fortran", "solidity", "kotlin", "literate-agda", "julia", "java-server-pages",
-             "isabelle", "idris", "lean", "powershell", "go", "erlang", "f-sharp", "ada", "pascal", "perl", "r", "protocol-buffer",
-             "cmake", "sas", "ruby", "rust", "rmarkdown", "c-sharp", "smalltalk", "haskell", "maple", "mathematica", "ocaml",
-             "makefile", "lua", "literate-coffeescript", "literate-haskell", "restructuredtext", "racket", "standard-ml",
-             "systemverilog", "tex", "awk", "assembly", "alloy", "agda", "emacs-lisp", "dart", "cuda", "bluespec", "augeas", "batchfile",
-             "tcsh", "stan", "scala", "tcl", "stata", "applescript", "shell", "clojure", "scheme", "antlr", "sparql", "sql",
-             "glsl", "elm", "dockerfile", "cpp", "coffeescript", "common-lisp", "elixir", "groovy", "html", "java", "javascript",
-             "markdown", "php", "python", "typescript", "verilog", "visual-basic", "vhdl", "thrift", "matlab", "yacc", "zig", "xslt", "json", "yaml"]
-
-def dset_gen():
-    for language in languages:
-        dset = load_dataset("bigcode/the-stack-dedup", data_dir=f"data/{language}", streaming=True, split="train")
-        sample = dset.take(250_000)
-        for row in sample:
-            yield row
-
-dset = Dataset.from_generator(dset_gen)
-```