Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
10M<n<100M
Language Creators:
found
Annotations Creators:
no-annotation
ArXiv:
License:
breakend commited on
Commit
440eccc
1 Parent(s): a818658

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +5 -5
README.md CHANGED
@@ -50,7 +50,7 @@ task_ids:
50
 
51
  - **Homepage:** https://huggingface.co/datasets/pile-of-law/pile-of-law
52
  - **Repository:** https://huggingface.co/datasets/pile-of-law/pile-of-law
53
- - **Paper:** TBD
54
 
55
  ### Dataset Summary
56
 
@@ -154,21 +154,21 @@ There is a train/validation split for each subset of the data. 75%/25%
154
 
155
  ### Curation Rationale
156
 
157
- [More Information Needed]
158
 
159
  ### Source Data
160
 
161
  #### Initial Data Collection and Normalization
162
 
163
- [More Information Needed]
164
 
165
  #### Who are the source language producers?
166
 
167
- [More Information Needed]
168
 
169
  ### Personal and Sensitive Information
170
 
171
- [More Information Needed]
172
 
173
  ## Considerations for Using the Data
174
 
 
50
 
51
  - **Homepage:** https://huggingface.co/datasets/pile-of-law/pile-of-law
52
  - **Repository:** https://huggingface.co/datasets/pile-of-law/pile-of-law
53
+ - **Paper:** Under review.
54
 
55
  ### Dataset Summary
56
 
 
154
 
155
  ### Curation Rationale
156
 
157
+ We curate a large corpus of legal and administrative data. The utility of this data is twofold: (1) to aggregate legal and administrative data sources that demonstrate different norms and legal standards for data filtering; (2) to collect a dataset that can be used in the future for pretraining legal-domain language models, a key direction in access-to-justice initiatives. As such, data sources are curated to inform: (1) legal analysis, knowledge, or understanding; (2) argument formation; (3) privacy filtering standards. Sources like codes and laws tend to inform (1). Transcripts and court filings tend to inform (2). Opinions tend to inform (1) and (3).
158
 
159
  ### Source Data
160
 
161
  #### Initial Data Collection and Normalization
162
 
163
+ We do not normalize the data, but we provide dataset creation code and relevant urls in https://github.com/Breakend/PileOfLaw
164
 
165
  #### Who are the source language producers?
166
 
167
+ Varied (see sources above).
168
 
169
  ### Personal and Sensitive Information
170
 
171
+ This dataset may contain personal and sensitive information. However, this has been previously filtered by the relevant government and federal agencies that weigh the harms of revealing this information against the benefits of transparency. If you encounter something particularly harmful, please file a takedown request with the upstream source and notify us in the communities tab. We will then remove the content. We cannot enable more restrictive licensing because upstream sources may restrict using a more restrictive license. However, we ask that all users of this data respect the upstream licenses and restrictions. Per the standards of CourtListener, we do not allow indexing of this data by search engines and we ask that others do not also. Please do not turn on anything that allows the data to be easily indexed.
172
 
173
  ## Considerations for Using the Data
174