More useful info to the readme

README.md

@@ -25,13 +25,19 @@ You can use the resulting dataset by filtering for the language and amount of th
 You'll need to apply extra cleansing/evaluation of the instructions you've got because, you know, the internet is still full of crap.
 
 ## Recreating the results
-1. Clone the repo without the LFS files
-2. Install requirements from `requirements.txt`
-3. Install `pv` and `parallel`
-4. Run `bin/get_seed_urls.sh` to filter urls of interest out of 1.6TB of compressed data. Don't worry about disk space. Worry about the traffic
-5. Run scrapy spider like this `scrapy crawl webdatacommons_org -s WEB_DATA_COMMONS=web_data_commons_urls_sample.txt -L INFO -o webdatacommons.jsonlines` with `WEB_DATA_COMMONS` pointing to the list of seed URLs from step 4.
-6. Run `python extract_relevant_structured_data.py --num-threads 12 webdatacommons.jsonlines relevant.jsonlines.bz2`
-7. Run `python export_structured_data.py relevant.jsonlines.bz2 extruct_out.jsonlines.bz2` to obtain the final version of the dataset
+1. Clone the repo without the LFS files.
+2. Install requirements from `requirements.txt`.
+3. Install `pv` and `parallel`.
+4. Run `bin/get_seed_urls.sh` to filter urls of interest out of 1.6TB of compressed data. Don't worry about disk space. Worry about the traffic. That will take around 5h on decent connection.
+5. Run scrapy spider like this `scrapy crawl webdatacommons_org -s WEB_DATA_COMMONS=web_data_commons_urls_sample.txt -L INFO -o webdatacommons.jsonlines` with `WEB_DATA_COMMONS` pointing to the list of seed URLs from step 4. That might take up to a few weeks.
+6. Run `python extract_relevant_structured_data.py --num-threads 12 webdatacommons.jsonlines relevant.jsonlines.bz2`. That's fast, probably around 30 minutes.
+7. Run `python export_structured_data.py relevant.jsonlines.bz2 extruct_out.jsonlines.bz2` to obtain the final version of the dataset.
+
+## Advices
+If you want to recreate the results:
+* Get yourself a server or VPS with enough space (80GB should be enough).
+* Look at the code. You'd probably want to make changes here and there.
+* All the python scripts have extra parameters to control the number of threads and the chunk size. Both accept compressed input and output files with the help of smart_open lib.
 
 ## License
 **Code** of the project has an MIT license.