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week-6/README.md

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 # Lab
 1. Query tables in natural language. See [query_tables.py](query_tables.py)
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    a. Improve code by loading all sections to avoid hard-coding a section with tables
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    b. Test the capabilities of reasoning with table data: can it sum up numbers or do some other calculation?
-2. Generate synthetic query with misspellings - only task description is available you need to write the code in [synthetic_data.py](synthetic_data.py)
+3. Generate synthetic query with misspellings - only task description is available you need to write the code in [synthetic_data.py](synthetic_data.py)
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    a. Find the queries in [web_search_queries.csv](web_search_queries.csv), containing example queries from different topics and use cases, like map search, job search, travel and tourism, general knowledge and learning
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    b. Implement code, that will load one query at a time and generate up to N misspellings.
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    c. Improve robustness of the method, for example, skip known abbreviations, like JFK.
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    d. Make misspellings capture a variety of error types (phonetic, omission, transposition, repetition)?
-   e. Test the resulting query variants with your favourite web search engine. Are results equal for the same for all variants of a given query? If not, why do you think this is happening?
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+   e. Test the resulting query variants with your favourite web search engine. Are results equal for the same for all variants of a given query? If not, why do you think this is happening?