![]() We need text that was either written or spoken by humans and it need not be grammatically perfect. Payment will be made for each 100 TB producedĥ. Please mention scooby-doo at the beginning of your proposal to let us know you have read thisĤ. This means you need to transfer 17 TB of cleaned files per dayģ. We will setup a receiving server at our end to receive the clean files non-stopĢ. You don't need to store the data locally. txt format in chunks of size convenient to you (e.g., 25MB, 100MB etc.)ġ. We have very few inherited pieces, for a variety of reasons." Worn and beautiful, well-made old things comfort and soothe me in a way no slick, shiny modern thing (OK, except my Itouch and Mac) can match. My computer desk is covered with pale green ticking bought in the Paris flea market. I wear antique shawls and, as I write, a pair of green glass Deco-era drop earrings I found in a neighbourhood shop. As someone unreasonably passionate about antiques, I get it. Each is cataloged here with all the richness and intimacy that only a family member could bring to the endeavor. Tracy approached successful bidders in the parking lot after the sale, they brushed her off politely. Donate it to Goodwill? prices were mostly a few hundred dollars. We have no kids or close younger relatives, so no one will want our memorabilia. There may be, as there was for us, some sharp words over why that battered frying pan or framed print are must-keepers as you jockey for every inch of remaining space. my allergy to dust and mold kicked in a little after going through so much stuff. I am delighted to have re-discovered some childhood images, and to find several work-related items just at the moment I most need them. There was no Internet then or Skype, so I still have some of his postcards. I know now why so many of us put off going through our accumulated stuff. "The Price Of Laziness And Ambivalence? Another six non-stop hours of going through boxes stacked to the ceiling. Here is a snippet of my code so far to transform the first line. I'm having trouble splitting it the way I need to store the column names though. (It should not contain any links, tags, unnecessary formatting, unnecessary binary digits etc) I'm looking for a more systematic/clean way to transform some text gathered from a pdf that I'm working to convert to a pandas dataframe. Objective: Produce 1000 TB of clean, readable, non-duplicate, written/spoken language textual data from the internet or 'any' other sources.
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