llmware
/

slim-sql-1b-v0

Text Generation

text-generation-inference

Model card Files Files and versions

doberst113080 commited on Jan 2, 2024

Commit

c38d876

·

1 Parent(s): 9becace

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -61,7 +61,7 @@ The prompt consists of two sub-parts:
 2.  Specific question or instruction based on the text passage
 Test sample example: {"context": "CREATE TABLE table_name_34 (season VARCHAR, lost VARCHAR, points VARCHAR)", "question": "Which season did the Minnesota Kicks lose 13 games and score 156 points?", "answer": "SELECT COUNT(season) FROM table_name_34 WHERE lost = 13 AND points = 156"}
-A subset of test samples are provided in this repo ("sql-slim-1b_test_questions").
 For use in training, the "\<human>" tag would be associated with "context" and "question" statements, while the "\<bot>" tag will be associated with the model's output.

 2.  Specific question or instruction based on the text passage
 Test sample example: {"context": "CREATE TABLE table_name_34 (season VARCHAR, lost VARCHAR, points VARCHAR)", "question": "Which season did the Minnesota Kicks lose 13 games and score 156 points?", "answer": "SELECT COUNT(season) FROM table_name_34 WHERE lost = 13 AND points = 156"}
+A subset of test samples are provided in this repo ("sql_test_100_simple_s").
 For use in training, the "\<human>" tag would be associated with "context" and "question" statements, while the "\<bot>" tag will be associated with the model's output.