Update README.md

README.md

@@ -47,22 +47,6 @@ dataset_info:
     - name: other
       sequence: int64
 configs:
-- config_name: large_context
-  data_files:
-  - split: test
-    path: data/large_context/*
-- config_name: medium_context
-  data_files:
-  - split: test
-    path: data/medium_context/*
-- config_name: small_context
-  data_files:
-  - split: test
-    path: data/small_context/*
-- config_name: huge_context
-  data_files:
-  - split: test
-    path: data/huge_context/*
 - config_name: large_context
   data_files:
   - split: test
@@ -87,7 +71,14 @@ configs:
 ```
 from datasets import load_dataset
 
-ds = load_dataset('JetBrains-Research/lca-codegen-huge', split='test')
+config_names = [
+  'small_context',
+  'medium_context',
+  'large_context',
+  'huge_context'
+]
+
+ds = load_dataset('JetBrains-Research/lca-code-completion', config_name, split='test')
 ```
 ## Data Point Structure
 
@@ -97,12 +88,12 @@ ds = load_dataset('JetBrains-Research/lca-codegen-huge', split='test')
 * `filename` – filepath to the completion file
 * `content` – content of the completion file
 * `completion_lines` – dictionary where keys are classes of lines and values are a list of integers (numbers of lines to complete). The classes are:
-* `committed` – line contains at least one function or class that was declared in the committed files from `commit_hash`
-* `inproject` – line contains at least one function or class that was declared in the project (excluding previous)
-* `infile` – line contains at least one function or class that was declared in the completion file (excluding previous)
-* `common` – line contains at least one function or class that was classified to be common, e.g., `main`, `get`, etc (excluding previous)
-* `non_informative` – line that was classified to be non-informative, e.g. too short, contains comments, etc
-* `random` – randomly sampled from the rest of the lines
+  * `committed` – line contains at least one function or class that was declared in the committed files from `commit_hash`
+  * `inproject` – line contains at least one function or class that was declared in the project (excluding previous)
+  * `infile` – line contains at least one function or class that was declared in the completion file (excluding previous)
+  * `common` – line contains at least one function or class that was classified to be common, e.g., `main`, `get`, etc (excluding previous)
+  * `non_informative` – line that was classified to be non-informative, e.g. too short, contains comments, etc
+  * `random` – randomly sampled from the rest of the lines
 * `repo_snapshot` – dictionary with a snapshot of the repository before the commit. Has the same structure as `completion_file`, but filenames and contents are orginized as lists.
 * `completion_lines_raw` – the same as `completion_lines`, but before sampling.
 
@@ -112,33 +103,58 @@ To collect the data, we cloned repositories from GitHub where the main language
 The completion file for each data point is a `.py` file that was added to the repository in a commit.
 The state of the repository before this commit is the repo snapshot.
 
-Huge dataset is defined by number of characters in `.py` files from the repository snapshot. This number larger then 768K.
+The dataset configurations are based on the number of characters in `.py` files from the repository snapshot:
+  - `small_context` – less than 48K characters;
+  - `medium_context` – from 48K to 192K characters;
+  - `large_context` – from 192K to 768K characters;
+  - `huge_context` – more than 768K characters.
+
+## Datasets Stats
 
-## Dataset Stats
+| Dataset           | Number of datapoints | Number of repositories | Number of commits |
+|:-----------------:|:--------------------:|:----------------------:|:-----------------:|
+| `small_context`   | 144                  | 46                     | 63                |
+| `medium_context`  | 224                  | 80                     | 175               |
+| `large_context`   | 270                  | 75                     | 219               |
+| `huge_context`    | 296                  | 75                     | 252               |
 
-* Number of datapoints: 296
-* Number of repositories: 75
-* Number of commits: 252
 
 ### Completion File
-* Number of lines, median: 313.5
-* Number of lines, min: 200
-* Number of lines, max: 1877
+|      Dataset       | Completion file lines, min | Completion file lines, max | Completion file lines, median |
+|:------------------:|:--------------------------:|:--------------------------:|:------------------------------:|
+| `small_context`    |           201            |           1916            |            310.5              |
+| `medium_context`   |           200            |           1648            |            310.0              |
+| `large_context`    |           200            |           1694            |            278.0              |
+| `huge_context`     |           200            |           1877            |            313.5              |
+
+
+
+### Repository Snapshot `.py` files
+|      Dataset       | Context py files number, min | Context py files number, max | Context py files number, median | Context py lines, median |
+|:------------------:|:----------------------------:|:----------------------------:|:--------------------------------:|:-------------------------:|
+| `small_context`    |              0               |              52              |                4.0               |           128.0          |
+| `medium_context`   |              3               |             117              |               34.0               |          3786.0          |
+| `large_context`    |              3               |             255              |               84.0               |         15466.5          |
+| `huge_context`     |             47               |            5227              |              261.0               |         49811.0          |
+
+
+### Repository Snapshot non `.py` files
+|      Dataset       | Context non-py files number, min | Context non-py files number, max | Context non-py files number, median | Context non-py lines, median |
+|:------------------:|:---------------------------------:|:---------------------------------:|:-----------------------------------:|:-----------------------------:|
+| `small_context`    |                 1                 |               1044                |                19.5                |            1227.0            |
+| `medium_context`   |                 3                 |               3977                |                64.5                |            9735.0            |
+| `large_context`    |                 8                 |               2174                |               155.0                |           18759.0            |
+| `huge_context`     |                24                 |               7687                |               262.0                |           60163.0            |
 
-### Repository Snapshot
-* `.py` files: <u>median 261</u>, from 47 to 5227
-* non `.py` files: <u>median 262</u>, from 24 to 7687
-* `.py` lines: <u>median 49811</u>
-* non `.py` lines: <u>median 60163</u>
 
 ### Line Counts:
-* infile: 2608
-* inproject: 2901
-* common: 692
-* committed: 1019
-* non-informative: 1164
-* random: 1426
-* **total**: 9810
+|      Dataset       | *infile* | *inproject* | *common* | *commited* | *non-informative* | *random* | **all** |
+|:------------------:|:--------:|:-----------:|:--------:|:----------:|:-----------------:|:--------:|:-----:|
+| `small_context`    | 1430     | 95          | 500      | 1426       | 532               | 703      | **4686**  |
+| `medium_context`   | 2224     | 2236        | 779      | 1495       | 858               | 1084     | **8676**  |
+| `large_context`    | 2691     | 2595        | 693      | 1322       | 1019              | 1311     | **9631**  |
+| `huge_context`     | 2608     | 2901        | 692      | 1019       | 1164              | 1426     | **9810**  |
+
 
 ## Scores
 [HF Space](https://huggingface.co/spaces/JetBrains-Research/long-code-arena)