Release Phi-3.5 Repeat-4 and Repeat-8 stress tests

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README.md

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+---
+license: cc-by-sa-3.0
+language:
+  - en
+task_categories:
+  - text-generation
+pretty_name: Zip2Zip Repeated WikiText Stress Tests (Phi-3.5)
+size_categories:
+  - 1K<n<10K
+configs:
+  - config_name: repeat4
+    data_files:
+      - split: test
+        path: repeat4/test.jsonl
+  - config_name: repeat8
+    data_files:
+      - split: test
+        path: repeat8/test.jsonl
+---
+
+# Zip2Zip Repeated WikiText Stress Tests (Phi-3.5)
+
+This repository contains two controlled evaluation corpora for studying
+merge-size transfer in Zip2Zip models. They are derived from the document-level
+WikiText-2 raw test split and built specifically with the
+`microsoft/Phi-3.5-mini-instruct` tokenizer.
+
+## Configurations
+
+| Config | Repetitions per source block | Rows | Repeated base tokens | SHA-256 of `test.jsonl` |
+|---|---:|---:|---:|---|
+| `repeat4` | 4 | 1,329 | 1,297,250 | `82fce0f7667d48f83f627ebc14b8148c64311127f38bc66741986135512a4c74` |
+| `repeat8` | 8 | 2,651 | 2,617,485 | `48aa4185c6c961763ebea17ea8e46bb41eb8fd63300384643dd0ab2af2d3b049` |
+
+Load either configuration with Hugging Face Datasets:
+
+```python
+from datasets import load_dataset
+
+repeat4 = load_dataset(
+    "epfl-dlab/zip2zip-wikitext-repeat-phi35",
+    "repeat4",
+    split="test",
+)
+repeat8 = load_dataset(
+    "epfl-dlab/zip2zip-wikitext-repeat-phi35",
+    "repeat8",
+    split="test",
+)
+```
+
+## Construction
+
+We start from `EleutherAI/wikitext_document_level`, configuration
+`wikitext-2-raw-v1`, split `test`, and apply the standard WikiText-2
+detokenization used by `lm-evaluation-harness`. Each document is tokenized with
+Phi-3.5, divided into token-aware source blocks, decoded, and repeated either
+four or eight times with blank-line separators. Blocks are shortened as needed
+so that every resulting row contains at most 1,000 Phi-3.5 base tokens and fits
+within a single 1,024-token evaluation window. Every repeated copy is included
+in the language-modeling loss.
+
+The JSONL rows contain the repeated `text`, UTF-8 byte and whitespace-delimited
+word denominators, source document and block identifiers, and token-count
+metadata. The accompanying manifests record aggregate construction statistics.
+
+## Intended use
+
+Repeat-4 and Repeat-8 are opt-in stress tests for hierarchical hyper-token
+merge-size transfer. Repetition increases the frequency of long LZW dictionary
+entries, making the difference between maximum merge sizes 3 and 4 measurable.
+They are not general-purpose language-modeling benchmarks. Later repeated
+copies are intentionally easier to predict, so absolute perplexities must not
+be compared across standard WikiText, Repeat-4, and Repeat-8. Model comparisons
+should be made within the same configuration and evaluation segmentation.
+
+Because row boundaries are chosen using Phi-3.5 tokenization, these artifacts
+should not be silently reused with another tokenizer. Supporting another
+tokenizer requires rebuilding and publishing separately identified artifacts.
+
+## Reproducibility
+
+The source code used to construct the corpora is
+`scripts/build_repeated_wikitext.py` in the Zip2Zip repository. The checked-in
+Zip2Zip lm-eval tasks are named `zip2zip_wikitext_repeat4` and
+`zip2zip_wikitext_repeat8`.
+
+## Source and license
+
+The source corpus is the WikiText-2 raw test split from
+[`EleutherAI/wikitext_document_level`](https://huggingface.co/datasets/EleutherAI/wikitext_document_level),
+which is distributed under the Creative Commons Attribution-ShareAlike 3.0
+license. These transformed evaluation artifacts are released under the same
+license. Users should also cite the original WikiText paper:
+
+```bibtex
+@inproceedings{merity2017pointer,
+  title     = {Pointer Sentinel Mixture Models},
+  author    = {Stephen Merity and Caiming Xiong and James Bradbury and Richard Socher},
+  booktitle = {International Conference on Learning Representations},
+  year      = {2017}
+}
+```

repeat4/manifest.json

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+{
+  "format_version": 1,
+  "max_base_tokens_per_row": 1000,
+  "num_rows": 1329,
+  "output": "../datasets/wikitext-repeat4-phi35/test.jsonl",
+  "repeat_n": 4,
+  "separator": "\n\n",
+  "source_config": "wikitext-2-raw-v1",
+  "source_dataset": "EleutherAI/wikitext_document_level",
+  "source_split": "test",
+  "tokenizer": "microsoft/Phi-3.5-mini-instruct",
+  "total_bytes": 4966642,
+  "total_repeated_base_tokens": 1297250,
+  "total_source_base_tokens": 322149,
+  "total_words": 819108
+}

repeat8/manifest.json

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+{
+  "format_version": 1,
+  "max_base_tokens_per_row": 1000,
+  "num_rows": 2651,
+  "output": "../datasets/wikitext-repeat8-phi35/test.jsonl",
+  "repeat_n": 8,
+  "separator": "\n\n",
+  "source_config": "wikitext-2-raw-v1",
+  "source_dataset": "EleutherAI/wikitext_document_level",
+  "source_split": "test",
+  "tokenizer": "microsoft/Phi-3.5-mini-instruct",
+  "total_bytes": 9948090,
+  "total_repeated_base_tokens": 2617485,
+  "total_source_base_tokens": 322149,
+  "total_words": 1642160
+}

repeat8/test.jsonl

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