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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -5,7 +5,7 @@ Spider is a large human-labeled dataset for complex and cross-domain semantic pa
:+1: `03/20/2022`: **We open-sourced a simple but SOTA model (just T5) for the task! Please check out our code in the [UnifiedSKG repo](https://github.com/hkunlp/unifiedskg)!!**

### Changelog
-`11/15/2020` We will use [Test Suite Accuracy](https://arxiv.org/abs/2010.02840) as our official evaluation metric for Spider, SParC, and CoSQL. Please find the evaluation code from [here](https://github.com/taoyds/test-suite-sql-eval).
- `11/15/2020` We will use [Test Suite Accuracy](https://arxiv.org/abs/2010.02840) as our official evaluation metric for Spider, SParC, and CoSQL. Please find the evaluation code from [here](https://github.com/taoyds/test-suite-sql-eval).
- `08/03/2020` Corrected `column_name` and `column_name_original` mismatches in 2 dbs (`scholar` and `formula_1`) in `tables.json`, and reparsed SQL queries (this only affects some models (e.g. RATSQL) which use our parsed SQL as the SQL input). Please download the Spider dataset from [the page](https://yale-lily.github.io/spider) again.
- `06/07/2020` We corrected some annotation errors and label mismatches (not errors) in Spider dev and test sets (~4% of dev examples updated, click [here](https://github.com/taoyds/spider/commit/25fcd85d9b6e94acaeb5e9172deadeefeed83f5e#diff-18b0a730a7b0d29b0a78a5070d971d49) for more details). Please download the Spider dataset from [the page](https://yale-lily.github.io/spider) again.
- `01/16/2020` For value prediction (in order to compute the execution accuracy), your model should be able to 1) copy from the question inputs, 2) retrieve from the database content (database content is available), or 3) generate numbers (e.g. 3 in "LIMIT 3").
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