Update README.md

README.md

@@ -45,6 +45,70 @@ dataset_info:
   download_size: 311064786
   dataset_size: 566804417
 ---
-# Dataset Card for "crossvalidated-posts"
+# Cross Validated / stats.stackexchange.com
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+## Dataset Summary
+
+This dataset contains all posts submitted to stats.stackexchange.com before the 30th of August 2023 formatted as **Markdown text**.<br>
+The data is sourced from [Internet Archive StackExchange Data Dump](https://archive.org/download/stackexchange) and follows the format by [mikex86/stackoverflow-posts](https://huggingface.co/datasets/mikex86/stackoverflow-posts)
+
+## Dataset Structure
+
+Each record corresponds to one post of a particular type.
+Original ordering from the data dump is not exactly preserved due to parallelism in the script used to process the data dump.
+The markdown content of each post is contained in the `Body` field. The license for a particular post is contained in the `ContentLicense` field.
+
+
+### Data Fields
+```typescript
+{
+  Id: long,
+  PostTypeId: long, // 1=Question, 2=Answer, 3=Orphaned tag wiki, 4=Tag wiki excerpt, 5=Tag wiki, 6=Moderator nomination, 7=Wiki Placeholder, 8=Privilige Wiki
+  AcceptedAnswerId: long | null, // only present if PostTypeId=1
+  ParentId: long | null, // only present if PostTypeId=2
+  Score: long,
+  ViewCount: long | null,
+  Body: string | null,
+  Title: string | null,
+  ContentLicense: string | null,
+  FavoriteCount: long | null,
+  CreationDate: string | null,
+  LastActivityDate: string | null,
+  LastEditDate: string | null,
+  LastEditorUserId: long | null,
+  OwnerUserId: long | null,
+  Tags: array<string> | null
+}
+```
+Also consider the [StackExchange Datadump Schema Documentation](https://meta.stackexchange.com/questions/2677/database-schema-documentation-for-the-public-data-dump-and-sede), as all fields
+have analogs in the original dump format.
+
+## How to use?
+
+```python
+from datasets import load_dataset
+
+# predownload full dataset
+ds = load_dataset('theblackcat102/crossvalidated-posts', split='train')
+
+# dataset streaming (will only download the data as needed)
+ds = load_dataset('theblackcat102/crossvalidated-posts', split='train', streaming=True)
+
+for sample in iter(ds): print(sample["Body"])
+```
+
+## How is the text stored?
+
+The original Data Dump formats the "Body" field as HTML, using tags such as `<code>`, `<h1>`, `<ul>`, etc.
+This HTML format has been converted to Markdown following [mikex86/stackoverflow-posts](https://huggingface.co/datasets/mikex86/stackoverflow-posts) conversion rule.
+
+```markdown
+After differencing I saw that my constant/intercept is not statistically significant. Does anybody know how to fit the same model without the const term?
+im using statsmodels.tsa.arima.model
+To give a relative example I have: `ARIMA(data, order=(3,0,0))` an AR(3) model and say it that the second coefficient is insignificant. I can get rid of it by typing
+```
+ARMA(data,order=([1, 3], 0, 0)
+```
+
+but how can I get rid of coefficient??
+```