Official Repository of ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning
active 2024-02-20 → 2025-01-06 (UTC)
Activity over time
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Line chart, 322 days from 2024-02-20 to 2025-01-06. Pushes: 9 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 13 total, peak 6 in a day. Comments: 26 total, peak 6 in a day. Stars: 113 total, peak 31 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| BOBrown | 23 | 9 | 0 | 7 |
| renqiux0302 | 9 | 0 | 0 | 9 |
| Aaryaveerkrishna23 | 4 | 0 | 0 | 3 |
| realwangjiahao | 3 | 0 | 0 | 1 |
| Road2Redemption | 3 | 0 | 0 | 2 |
| nguyenquangtan | 2 | 0 | 0 | 1 |
| zhangliang-04 | 2 | 0 | 0 | 1 |
| buckerF | 1 | 0 | 0 | 1 |
| zhanzhaoli | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#9zhanzhaoli2024-10-29 06:56Hello , Please guide me with the steps involved in inferencing this model to generate csv of the chart provided
- Issue comment#15renqiux03022024-09-12 02:07Different metrics
- Issue#14realwangjiahao2024-07-24 06:02What is the encoder of this model?
- Issue comment#14realwangjiahao2024-07-24 06:01What is the encoder of this model?
- Issue#7BOBrown2024-07-18 02:06Clarification Request Regarding Data Formats in train_data.json
- Issue#8BOBrown2024-07-18 02:06The charts are beautiful. What tools did you use to draw them?
- Issue comment#8BOBrown2024-07-18 02:06The charts are beautiful. What tools did you use to draw them?
- Issue comment#7BOBrown2024-07-18 02:06Clarification Request Regarding Data Formats in train_data.json
- Issue#3BOBrown2024-07-18 02:06model = LlamaForCausalLM.from_pretrained
- Issue#4BOBrown2024-07-18 02:06Missing chart_train.json
- Issue#6BOBrown2024-07-18 02:06Inquiry about Chart2Text source
- Issue#1BOBrown2024-07-18 02:06./templates/train_data.json
- Issue comment#6BOBrown2024-07-18 02:05Inquiry about Chart2Text source
- Issue comment#4BOBrown2024-07-18 02:05Missing chart_train.json
- Issue comment#3BOBrown2024-07-18 02:05model = LlamaForCausalLM.from_pretrained
- Issue comment#1BOBrown2024-07-18 02:04./templates/train_data.json
- Issue comment#14renqiux03022024-07-17 05:10What is the encoder of this model?
- Issue comment#14Road2Redemption2024-07-17 03:10What is the encoder of this model?
- Issue#14realwangjiahao2024-07-10 02:35What is the encoder of this model?
- Issue comment#12Road2Redemption2024-07-05 09:51How many epochs and what is the best loss that you trained your model?
- Issue#13Road2Redemption2024-06-16 09:01base decoder checkpoints
- ReleaseBOBrown2024-06-02 05:02release for doi
- Issue comment#12nguyenquangtan2024-05-07 06:40How many epochs and what is the best loss that you trained your model?
- Issue comment#12renqiux03022024-05-06 03:15How many epochs and what is the best loss that you trained your model?
- Issue#12nguyenquangtan2024-05-05 03:55How many epochs and what is the best loss that you trained your model?
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 113 stars here means stars gained during the window, not the repo's star count.