---
language:
- ar
license: apache-2.0
pretty_name: Ashaar v1 SFT Ready Locked Prompt Maxlen20 Drop Majzuu Wafer Drop Motadarak (2026-04-03)
task_categories:
- text-generation
size_categories:
- 100K<n<1M
---

# Ashaar v1 SFT-Ready (Locked Prompt, <= 2048 tokens, max 20 bayts, drop مجزوء الوافر, drop المتدارك)

This dataset is derived from `Shaer-AI/ashaar-with-descriptions-baseform-final-trimmed-maxlen20-drop-majzuu-wafer` and keeps the same schema, columns, locked prompt format, and general structure as the upstream phase-1 dataset.

The only additional change is the removal of rows where:

- `base_meter == "المتدارك"`

This removes all poems whose base meter is `المتدارك` from the published phase-1 subset.

## Why this variant exists

The phase-1 meter reward is explicitly base-meter-first. A dedicated base-only sanity study with `n=5` prompts per base meter and `k=5` sampled candidates per prompt showed that `المتدارك` remained a clear outlier even under the more GRPO-relevant best-of-`k` view.

In that study:

- `المتدارك` had very weak candidate-level scores
- `المتدارك` also failed the prompt-level best-of-`k` criterion
- no prompt produced a candidate that crossed the useful quality thresholds used for review

Because the goal of this phase-1 subset is to align the training data with the available meter reward and keep RL signal reasonably clean, this derivative removes `المتدارك` from the current phase-1 dataset.

## Locked Prompt
### SYSTEM_PROMPT
أنت شاعر عربي تكتب الشعر العمودي الكلاسيكي.
التزم بالبحر المحدد في كل شطر، واستلهم من الموضوع دون نقله حرفياً.
أخرج الأبيات فقط دون مقدمة أو تعليق.

### USER_TEMPLATE
البحر الأساسي: {base_meter}
الصيغة: {form}
اسم البحر المطلوب: {meter_label}
الموضوع: {description}

اكتب {num_lines} شطراً ملتزماً بصيغة {form} من بحر {base_meter} دون أي شرح إضافي.

## Conditioning Rule
- `meter_label = base_meter` if `form == "تام"`
- else `meter_label = "{form} {base_meter}"`

## Added Columns
- `sft_prompt`
- `sft_completion`
- `sft_full_text`
- `sft_num_lines`
- `sft_total_tokens`

## Target Formatting
- `sft_completion` is built from `poem verses` using real newline characters.

## Filtering
- Inherits all filtering already present in `Shaer-AI/ashaar-with-descriptions-baseform-final-trimmed-maxlen20-drop-majzuu-wafer`.
- Additional filter applied here: drop rows where `base_meter == "المتدارك"`.

## Counts
- Source rows from `Shaer-AI/ashaar-with-descriptions-baseform-final-trimmed-maxlen20-drop-majzuu-wafer`: **117624**
- Removed by dropping `المتدارك`: **138**
- Final rows kept: **117486**
- Retention from upstream phase-1 subset: **99.88%**

## Training-Prep Note
- After the repo's current `load_and_prepare_dataset(...)` preprocessing, the upstream phase-1 dataset yields **117404** usable rows.
- This derivative yields **117266** usable rows after the same preparation path.

## Important Meter-Reward Caveat
- The current meter reward is primarily a **base-meter correctness** signal.
- Form-sensitive meter realization is not directly validated when the classifier lacks that exact form label.
- This dataset change should therefore be understood as alignment with a **base-meter-first** reward, not as a claim that the dropped meter is impossible in general.

## Notes
- This is a derived dataset repo; upstream datasets are unchanged.
- The schema and column names are kept identical to the upstream dataset.
- This subset is intended for phase-1 GRPO experiments where the active meter-reward signal is more reliable on the retained base-meter set.