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den data
The training, calibration, development and test data of den (github.com/ramput-labs/den): Kev 1.0's frozen suites,
normalized public sources and their cleaned copies. Each file keeps the licence of the sources it holds; there is
no single licence for the whole. LICENSES.md lists every file's sources and class, LICENSES/ holds each source's
terms, the evidence they were read from, the canonical licence texts and the licence files shipped with the data.
Some sources are non-commercial (CC-BY-NC or research-only): files holding them may be used for non-commercial research only.
Share-alike sources (CC-BY-SA) require derived data to keep their licence. Cite the sources below when you use them.
Sources
| source | licence | class | terms |
|---|---|---|---|
| AART | CC-BY-4.0 | open | terms · details |
| Aegis AI Content Safety 2.0 | CC-BY-4.0 | open | terms · details |
| AG News | non-commercial academic use | non-commercial | terms · details |
| AI2 ARC | CC-BY-SA-4.0 | share-alike | terms · details |
| API-Bank | MIT | open | terms · details |
| BANKING77 | CC-BY-4.0 | open | terms · details |
| Berkeley Function-Calling Leaderboard | Apache-2.0 | open | terms · details |
| BoolQ | CC-BY-SA-3.0 | share-alike | terms · details |
| BRIGHT | CC-BY-4.0 | open | terms · details |
| CFPB Consumer Complaint Database | US government work (public domain) | open | terms · details |
| ChessBench action values | CC-BY-4.0, with lichess positions under CC0 | open | terms · details |
| CLINC150 (OOS) | CC-BY-3.0 | open | terms · details |
| CodeReviewer (diff quality) | CC-BY-4.0; code under each project's permissive licence | open | terms · details |
| Collaborative Filtering of Color Aesthetics | none stated for the data | unspecified | terms · details |
| CommitPackFT | MIT (dataset); rows kept only under permissive repository licences | open | terms · details |
| CommonsenseQA | MIT | open | terms · details |
| ContractNLI | CC-BY-4.0 | open | terms · details |
| dair-ai/emotion | research and educational use only | non-commercial | terms · details |
| DBpedia-14 | CC-BY-SA-3.0 | share-alike | terms · details |
| FlakeFlagger | CC-BY-4.0 (data); BSD-3-Clause (repository); test code under each project's licence | open | terms · details |
| Glaive function calling v2 | Apache-2.0 | open | terms · details |
| HellaSwag (ActivityNet items) | MIT | open | terms · details |
| HellaSwag validation file (raw, with wikiHow items) | MIT, subject to wikiHow's DMCA notice | restricted | terms · details |
| Humicroedit (SemEval-2020 Task 7) | none stated (cite the task paper) | unspecified | terms · details |
| Kev 1.0 generated data | Apache-2.0 | open | terms · details |
| Large Movie Review Dataset (IMDB) | none stated | unspecified | terms · details |
| MASSIVE (en-US) | CC-BY-4.0 | open | terms · details |
| MMLU | MIT | open | terms · details |
| MMLU-Pro | MIT | open | terms · details |
| Multilingual Amazon Reviews Corpus (English) | Amazon Reviews Corpus licence (academic research only, no republication) | restricted | terms · details |
| MultiNLI | OANC licence; fiction under CC-BY-SA-3.0 / CC-BY-3.0 | share-alike | terms · details |
| MuSR | CC-BY-4.0 | open | terms · details |
| OpenBookQA | Apache-2.0 | open | terms · details |
| PAWS (Wiki) | free use, acknowledgement appreciated | open | terms · details |
| Prompt injections (deepset, Lakera Gandalf) | Apache-2.0 (deepset); MIT (Lakera) | open | terms · details |
| QASC | CC-BY-4.0 | open | terms · details |
| QNLI (GLUE, from SQuAD) | CC-BY-SA-4.0 (SQuAD) | share-alike | terms · details |
| RouterBench (MMLU, Winogrande, MBPP items) | MIT | open | terms · details |
| RouterBench 0-shot file (raw) | MIT, embedding third-party prompts incl. HellaSwag wikiHow items | restricted | terms · details |
| SATA-Bench | CC-BY-NC-4.0 | non-commercial | terms · details |
| Schema-Guided Dialogue (+ SGD-X) | CC-BY-SA-4.0 | share-alike | terms · details |
| SciQ | CC-BY-NC-3.0 | non-commercial | terms · details |
| SemIf | MIT | open | terms · details |
| Stanford Sentiment Treebank (SST-5) | none stated | unspecified | terms · details |
| ToolRet | Apache-2.0 (release); queries and tools re-published from their source benchmarks | open | terms · details |
| TREC question classification | none stated | unspecified | terms · details |
| TweetEval offensive (OLID) | none stated; Twitter/X Terms of Service apply | unspecified | terms · details |
| When2Call | CC-BY-4.0 | open | terms · details |
| Yelp Review Full | Yelp Dataset Terms of Use | restricted | terms · details |
Not in this copy
Files whose sources may not be redistributed (or have no stated licence, in a public copy) were left out; rebuild them
from the pinned originals with make data data-raw-train data-raw-new data-raw-eval breadth normalize clean-data:
calibration/core.jsonl: restricted: Multilingual Amazon Reviews Corpus (English), Yelp Review Fullcalibration/heldout.jsonl: unspecified: TweetEval offensive (OLID)clean/calibration/core.jsonl: restricted: Multilingual Amazon Reviews Corpus (English), Yelp Review Fullclean/calibration/heldout.jsonl: unspecified: TweetEval offensive (OLID)clean/dev/breadth.jsonl: unspecified: Collaborative Filtering of Color Aesthetics, Humicroedit (SemEval-2020 Task 7)clean/dev/core.jsonl: restricted: Multilingual Amazon Reviews Corpus (English), Yelp Review Fullclean/dev/probes.jsonl: unspecified: TweetEval offensive (OLID)clean/dev/sources/sentiment/amazon-reviews.jsonl: restricted: Multilingual Amazon Reviews Corpus (English)clean/dev/sources/sentiment/imdb.jsonl: unspecified: Large Movie Review Dataset (IMDB)clean/dev/sources/sentiment/sst5.jsonl: unspecified: Stanford Sentiment Treebank (SST-5)clean/dev/sources/sentiment/yelp-full.jsonl: restricted: Yelp Review Fullclean/dev/sources/topic/trec.jsonl: unspecified: TREC question classificationclean/dev/sources/transfer/tweeteval-offensive.jsonl: unspecified: TweetEval offensive (OLID)clean/dev/transfer.jsonl: unspecified: TweetEval offensive (OLID)clean/test/breadth.jsonl: unspecified: Collaborative Filtering of Color Aesthetics, Humicroedit (SemEval-2020 Task 7)clean/test/core.jsonl: restricted: Multilingual Amazon Reviews Corpus (English), Yelp Review Fullclean/test/probes.jsonl: unspecified: TweetEval offensive (OLID)clean/test/sources/sentiment/amazon-reviews.jsonl: restricted: Multilingual Amazon Reviews Corpus (English)clean/test/sources/sentiment/imdb.jsonl: unspecified: Large Movie Review Dataset (IMDB)clean/test/sources/sentiment/sst5.jsonl: unspecified: Stanford Sentiment Treebank (SST-5)clean/test/sources/sentiment/yelp-full.jsonl: restricted: Yelp Review Fullclean/test/sources/topic/trec.jsonl: unspecified: TREC question classificationclean/test/sources/transfer/tweeteval-offensive.jsonl: unspecified: TweetEval offensive (OLID)clean/test/transfer.jsonl: unspecified: TweetEval offensive (OLID)clean/train/core.jsonl: restricted: Multilingual Amazon Reviews Corpus (English), Yelp Review Fullclean/train/sources/sentiment/amazon-reviews.jsonl: restricted: Multilingual Amazon Reviews Corpus (English)clean/train/sources/sentiment/imdb.jsonl: unspecified: Large Movie Review Dataset (IMDB)clean/train/sources/sentiment/sst5.jsonl: unspecified: Stanford Sentiment Treebank (SST-5)clean/train/sources/sentiment/yelp-full.jsonl: restricted: Yelp Review Fullclean/train/sources/topic/trec.jsonl: unspecified: TREC question classificationdev/breadth.jsonl: unspecified: Collaborative Filtering of Color Aesthetics, Humicroedit (SemEval-2020 Task 7)dev/core.jsonl: restricted: Multilingual Amazon Reviews Corpus (English), Yelp Review Fulldev/probes.jsonl: unspecified: TweetEval offensive (OLID)dev/sources/sentiment/amazon-reviews.jsonl: restricted: Multilingual Amazon Reviews Corpus (English)dev/sources/sentiment/imdb.jsonl: unspecified: Large Movie Review Dataset (IMDB)dev/sources/sentiment/sst5.jsonl: unspecified: Stanford Sentiment Treebank (SST-5)dev/sources/sentiment/yelp-full.jsonl: restricted: Yelp Review Fulldev/sources/topic/trec.jsonl: unspecified: TREC question classificationdev/sources/transfer/tweeteval-offensive.jsonl: unspecified: TweetEval offensive (OLID)dev/transfer.jsonl: unspecified: TweetEval offensive (OLID)sources/eval/breadth/arts/cfcolor/cfcolor.zip: unspecified: Collaborative Filtering of Color Aestheticssources/eval/breadth/arts/humicroedit/semeval-2020-task-7-dataset.zip: unspecified: Humicroedit (SemEval-2020 Task 7)sources/eval/breadth/language/hellaswag/data/validation-00000-of-00001.parquet: restricted: HellaSwag validation file (raw, with wikiHow items)sources/eval/breadth/tools/routerbench/routerbench_0shot.pkl: restricted: RouterBench 0-shot file (raw)sources/eval/transfer/tweeteval-offensive/offensive/test-00000-of-00001.parquet: unspecified: TweetEval offensive (OLID)sources/eval/transfer/tweeteval-offensive/offensive/train-00000-of-00001.parquet: unspecified: TweetEval offensive (OLID)sources/eval/transfer/tweeteval-offensive/offensive/validation-00000-of-00001.parquet: unspecified: TweetEval offensive (OLID)sources/train/sentiment/amazon-reviews/test.jsonl: restricted: Multilingual Amazon Reviews Corpus (English)sources/train/sentiment/amazon-reviews/train.jsonl: restricted: Multilingual Amazon Reviews Corpus (English)sources/train/sentiment/amazon-reviews/validation.jsonl: restricted: Multilingual Amazon Reviews Corpus (English)sources/train/sentiment/imdb/plain_text/test-00000-of-00001.parquet: unspecified: Large Movie Review Dataset (IMDB)sources/train/sentiment/imdb/plain_text/train-00000-of-00001.parquet: unspecified: Large Movie Review Dataset (IMDB)sources/train/sentiment/sst5/dev.jsonl: unspecified: Stanford Sentiment Treebank (SST-5)sources/train/sentiment/sst5/test.jsonl: unspecified: Stanford Sentiment Treebank (SST-5)sources/train/sentiment/sst5/train.jsonl: unspecified: Stanford Sentiment Treebank (SST-5)sources/train/sentiment/yelp-full/yelp_review_full/test-00000-of-00001.parquet: restricted: Yelp Review Fullsources/train/sentiment/yelp-full/yelp_review_full/train-00000-of-00001.parquet: restricted: Yelp Review Fullsources/train/topic/trec/default/test/0000.parquet: unspecified: TREC question classificationsources/train/topic/trec/default/train/0000.parquet: unspecified: TREC question classificationtest/breadth.jsonl: unspecified: Collaborative Filtering of Color Aesthetics, Humicroedit (SemEval-2020 Task 7)test/core.jsonl: restricted: Multilingual Amazon Reviews Corpus (English), Yelp Review Fulltest/probes.jsonl: unspecified: TweetEval offensive (OLID)test/sources/sentiment/amazon-reviews.jsonl: restricted: Multilingual Amazon Reviews Corpus (English)test/sources/sentiment/imdb.jsonl: unspecified: Large Movie Review Dataset (IMDB)test/sources/sentiment/sst5.jsonl: unspecified: Stanford Sentiment Treebank (SST-5)test/sources/sentiment/yelp-full.jsonl: restricted: Yelp Review Fulltest/sources/topic/trec.jsonl: unspecified: TREC question classificationtest/sources/transfer/tweeteval-offensive.jsonl: unspecified: TweetEval offensive (OLID)test/transfer.jsonl: unspecified: TweetEval offensive (OLID)train/core.jsonl: restricted: Multilingual Amazon Reviews Corpus (English), Yelp Review Fulltrain/sources/sentiment/amazon-reviews.jsonl: restricted: Multilingual Amazon Reviews Corpus (English)train/sources/sentiment/imdb.jsonl: unspecified: Large Movie Review Dataset (IMDB)train/sources/sentiment/sst5.jsonl: unspecified: Stanford Sentiment Treebank (SST-5)train/sources/sentiment/yelp-full.jsonl: restricted: Yelp Review Fulltrain/sources/topic/trec.jsonl: unspecified: TREC question classification
Classes are conservative readings of each source's own terms, recorded with their evidence; they are not legal advice.
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